From 663fcb4e4a814e392c5af292934f797d47b889c1 Mon Sep 17 00:00:00 2001 From: Padraig Gleeson Date: Thu, 18 May 2023 18:04:01 +0100 Subject: [PATCH 01/18] Test latest modelspec --- setup.cfg | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.cfg b/setup.cfg index c7474160..f377ebc3 100644 --- a/setup.cfg +++ b/setup.cfg @@ -45,7 +45,7 @@ install_requires = skl2onnx==1.14.0 attrs>=21.1.0 cattrs - modelspec<0.3,>=0.2.6 + modelspec<0.4,>=0.3.0 glom python_requires = >=3.7 From 009934670cd20e46713d51be8c94143b71dff599 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Thu, 18 May 2023 18:58:20 +0100 Subject: [PATCH 02/18] Regenerated with latest nml libraries --- .../source/api/export_format/NeuroML/Izh.png | Bin 108632 -> 109697 bytes .../NeuroML/IzhikevichTest.gv.png | Bin 105720 -> 106871 bytes examples/NeuroML/ABCD.json | 2 +- examples/NeuroML/ABCD.net.nml | 2 +- examples/NeuroML/FN.json | 2 +- examples/NeuroML/FN.net.nml | 2 +- examples/NeuroML/Izh.png | Bin 108632 -> 109697 bytes examples/NeuroML/Izh_run.py | 6 +++--- examples/NeuroML/IzhikevichTest.gv.png | Bin 105720 -> 106871 bytes examples/NeuroML/IzhikevichTest.mdf.json | 12 +++++++----- examples/NeuroML/IzhikevichTest.mdf.yaml | 11 ++++++----- examples/NeuroML/IzhikevichTest.net.nml | 2 +- examples/NeuroML/IzhikevichTest.nmllite.yaml | 2 +- examples/NeuroML/LEMS_SimABCD.xml | 2 +- examples/NeuroML/LEMS_SimFN.png | Bin 118733 -> 118725 bytes examples/NeuroML/LEMS_SimFN.xml | 2 +- examples/NeuroML/LEMS_SimIzhikevichTest.xml | 2 +- examples/NeuroML/SimABCD.json | 2 +- examples/NeuroML/SimFN.json | 2 +- examples/NeuroML/SimIzhikevichTest.yaml | 2 +- 20 files changed, 28 insertions(+), 25 deletions(-) diff --git a/docs/sphinx/source/api/export_format/NeuroML/Izh.png b/docs/sphinx/source/api/export_format/NeuroML/Izh.png index 89225233e517349d2f661edb89c5e588e7cca990..6f99e9d92662ba26c7cb8627e32b40836f28a661 100644 GIT binary patch literal 109697 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zuxorN5p29yuc{yH;IN8*xyk(_UXOVKTqQCz53c=DfM@K*0Tv&p(r#&`U=6<9IAHDZ z@89pnl@Z&sY~)xN{hKcB7|yi%EXJrkmvp{4W2v~#TGmr~Vl+n(UGQDaSN z|1D)Q+=}NzDSjDe#w~wSPn7WoU+cK~E^ym?PyGj3_xce&+EXjxuB*}_#%nu$pM7$l zZiqC`6%jp{HQ4(7<*n7}kJjl1l%1J^Iq6kAv^kgGUcAntyT-jN4XwM)>i z>W-E%5RhUYA1~_z3D^5cwmZ_NIfe%;4r)jAw%TpsmMG5K_K5o*Xl1H*X_4Z3wO?SJ zP@XZj|JG#pqZXm15elTl>gf3+REzfxduB}dh#5W9`v-rKe`mYD?MkNZ_A4antAclr=zUtC+^Q z;jW^?F#YTMEqfLuyBMv9+N}r-E+zEXdXO+$2x9gyJZPTag6Ww`S1AG6$mhuD- za~cnYK#Y(jD?hRH_fO5q2=RBrtqwUf)>IVRYgvDL;$Erdy?%3@0+Mo-Zhom&!x*Hn&N*Ul3u4Y zM%Vhp`{8O-Q1SPwfF}kXE{y+Nf@?4Ft&ELX6exi zUdYjZeh?c1OF+aA@2(f(-F1DpbH(#!OwuxEQ%|UVG5+y4!O?#D5f3j<+V!x1?<)PH zJ9oB7Xj`=BUO%^>YQx+-bm&zSON(en`{w_EZFi-wcyqY?gS%~vTiyOY5V}Na?*hub ie^ 0: for ip in node.input_ports: + + additional = "" + if ip.shape is not None: + additional += "shape: %s, " % str(ip.shape) + """if ip.reduce is not None: + if ip.reduce != "overwrite": # since this is the default... + additional += "reduce: %s, " % str(ip.reduce)""" + if ip.type is not None: + additional += "type: %s, " % str(ip.type) + + if len(additional) > 0: + additional = "(%s)" % additional[:-2] + info += "{}{} {}".format( format_label("IN"), format_input(ip.id), - "(shape: %s)" % str(ip.shape) - if level >= LEVEL_2 and ip.shape is not None - else "", + additional, ) if node.parameters and len(node.parameters) > 0: diff --git a/tests/test_parameters.py b/tests/test_parameters.py index 607bfeb5..9e6cd719 100644 --- a/tests/test_parameters.py +++ b/tests/test_parameters.py @@ -46,6 +46,10 @@ ), ### Conditions (0, {"x": 3}, 1, "x<4", 1, None), + (0, {"x": 3}, 0, "x<1", 1, None), + (0, {"x": 3}, 1, "x==3", 1, None), + (0, {"x": 3}, 1, "x==3 and x<=5", 1, None), + (2, {"x": 3}, 3, "x<4", 3, None), (0.6, {"x": 3}, 0.6, "x>=4", 1.6, None), ("y+z", {"x": 3, "y": 2, "z": 3}, 3, "x>y", "z", None), ( @@ -56,6 +60,14 @@ [3, 3], None, ), + ( + numpy.array([0, 0]), + {"x": numpy.array([1, 1]), "y": numpy.array([0, 0])}, + numpy.array([1, 1]), + "y2', 1, None), # ("x", {"x": 'abc'}, 'abc'), From 2f837ea1ff2716fec5d944948b51acf3df5b4ef0 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Fri, 19 May 2023 17:58:49 +0100 Subject: [PATCH 05/18] Initial tests NeuroMLlite->PyNN->MDF --- examples/NeuroML/PyNN/Generate.py | 158 +++++++++++++++++++++ examples/NeuroML/PyNN/RunInMDF.py | 92 ++++++++++++ examples/NeuroML/PyNN/clean.sh | 3 + examples/NeuroML/PyNN/regenerateAndTest.sh | 24 ++++ 4 files changed, 277 insertions(+) create mode 100644 examples/NeuroML/PyNN/Generate.py create mode 100644 examples/NeuroML/PyNN/RunInMDF.py create mode 100755 examples/NeuroML/PyNN/clean.sh create mode 100755 examples/NeuroML/PyNN/regenerateAndTest.sh diff --git a/examples/NeuroML/PyNN/Generate.py b/examples/NeuroML/PyNN/Generate.py new file mode 100644 index 00000000..76f18673 --- /dev/null +++ b/examples/NeuroML/PyNN/Generate.py @@ -0,0 +1,158 @@ +from neuromllite import ( + Network, + Cell, + InputSource, + Population, + Synapse, + RectangularRegion, + RandomLayout, +) +from neuromllite import Projection, RandomConnectivity, Input, Simulation +import sys + +def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8'): + + ################################################################################ + ### Build new network + + net = Network(id=ref) + net.notes = "Example: %s"%ref + net.parameters = {"input_amp": 0.99} + + cell = Cell(id="testcell", pynn_cell="IF_cond_alpha") + cell.parameters = {"tau_refrac": 5, "i_offset": 0.1} + net.cells.append(cell) + + if num_pop1>0: + cell2 = Cell(id="testcell2", pynn_cell="IF_cond_alpha") + cell2.parameters = {"tau_refrac": 5, "i_offset": -0.1} + net.cells.append(cell2) + + input_source = InputSource( + id="i_clamp", + pynn_input="DCSource", + parameters={"amplitude": "input_amp", "start": 200.0, "stop": 800.0}, + ) + net.input_sources.append(input_source) + + r1 = RectangularRegion(id="region1", x=0, y=0, z=0, width=1000, height=100, depth=1000) + net.regions.append(r1) + + p0 = Population( + id="pop0", + size=num_pop0, + component=cell.id, + properties={"color": "1 0 0", "radius": 20}, + random_layout=RandomLayout(region=r1.id), + ) + net.populations.append(p0) + + if num_pop1>0: + p1 = Population( + id="pop1", + size=num_pop1, + component=cell2.id, + properties={"color": "0 1 0", "radius": 20}, + random_layout=RandomLayout(region=r1.id), + ) + net.populations.append(p1) + + '''p2 = Population( + id="pop2", + size=1, + component=cell2.id, + properties={"color": "0 0 1", "radius": 20}, + random_layout=RandomLayout(region=r1.id), + ) + + net.populations.append(p2)''' + + net.synapses.append( + Synapse( + id="ampaSyn", + pynn_receptor_type="excitatory", + pynn_synapse_type="cond_alpha", + parameters={"e_rev": -10, "tau_syn": 2}, + ) + ) + '''net.synapses.append( + Synapse( + id="gabaSyn", + pynn_receptor_type="inhibitory", + pynn_synapse_type="cond_alpha", + parameters={"e_rev": -80, "tau_syn": 10}, + ) + )''' + + + if num_pop1>0: + net.projections.append( + Projection( + id="proj0", + presynaptic=p0.id, + postsynaptic=p1.id, + synapse="ampaSyn", + delay=2, + weight=0.02, + ) + ) + net.projections[0].random_connectivity = RandomConnectivity(probability=1) + + '''net.projections.append( + Projection( + id="proj1", + presynaptic=p0.id, + postsynaptic=p2.id, + synapse="gabaSyn", + delay=2, + weight=0.01, + ) + ) + net.projections[1].random_connectivity = RandomConnectivity(probability=1)''' + + net.inputs.append( + Input(id="stim", input_source=input_source.id, population=p0.id, percentage=input_percentage, weight=input_weight) + ) + + print(net.to_json()) + net_json_file = net.to_json_file("%s.json" % net.id) + net_yaml_file = net.to_yaml_file("%s.yaml" % net.id) + + + ################################################################################ + ### Build Simulation object & save as JSON + + sim = Simulation( + id="Sim%s"%net.id, + network=net_json_file, + duration="1000", + dt="0.01", + record_traces={"all": "*"}, + record_spikes={"pop0": "*"}, + ) + + sim.to_json_file() + sim.network = net_yaml_file + sim.to_yaml_file("%s.yaml" % sim.id) + + sim.network = net_json_file # reverting, for call below... + + return sim, net + +if __name__ == "__main__": + + if "-one" in sys.argv: + sim, net = generate("OneCell", num_pop0=1, num_pop1=0, input_percentage=100) + elif "-input_weights" in sys.argv: + sim, net = generate("InputWeights", num_pop0=4, num_pop1=0, input_percentage=62, input_weight='.7') + else: + sim, net = generate("All") + + ################################################################################ + ### Run in some simulators + + from neuromllite.NetworkGenerator import check_to_generate_or_run + + check_to_generate_or_run(sys.argv, sim) + + diff --git a/examples/NeuroML/PyNN/RunInMDF.py b/examples/NeuroML/PyNN/RunInMDF.py new file mode 100644 index 00000000..87797617 --- /dev/null +++ b/examples/NeuroML/PyNN/RunInMDF.py @@ -0,0 +1,92 @@ +from modeci_mdf.utils import load_mdf, print_summary + +import sys +import matplotlib.pyplot as plt + + +def execute(mdf_filename): + mdf_model = load_mdf(mdf_filename) + mod_graph = mdf_model.graphs[0] + + dt = 0.001 + duration = 1 + + mdf_model.to_graph_image( + engine="dot", + output_format="png", + view_on_render=False, + level=1, + filename_root=mdf_filename.replace(".yaml", ".1").replace(".json", ".1"), + only_warn_on_fail=True, # Makes sure test of this doesn't fail on Windows on GitHub Actions + ) + mdf_model.to_graph_image( + engine="dot", + output_format="png", + view_on_render=False, + level=2, + filename_root=mdf_filename.replace(".yaml", "").replace(".json", ""), + only_warn_on_fail=True, # Makes sure test of this doesn't fail on Windows on GitHub Actions + ) + + verbose = "-v" in sys.argv + + from modeci_mdf.execution_engine import EvaluableGraph + + eg = EvaluableGraph(mod_graph, verbose) + # duration= 2 + + t = 0 + times = [] + vv = {} + uu = {} + ii = {} + + outputs = {} + for n in mod_graph.nodes: + outputs[n.id] = {} + for op in n.output_ports: + outputs[n.id][op.id] = {} + + while t <= duration: + times.append(t) + print("====== Evaluating at t = %s ======" % (t)) + if t == 0: + eg.evaluate(array_format=format) # replace with initialize? + else: + eg.evaluate(array_format=format, time_increment=dt) + + for n in mod_graph.nodes: + for op in n.output_ports: + ov = eg.enodes[n.id].evaluable_outputs[op.id].curr_value + for i in range(len(ov)): + if not i in outputs[n.id][op.id]: + outputs[n.id][op.id][i] = [] + + outputs[n.id][op.id][i].append(ov[i]) + + t += dt + + # print(times) + # print(outputs) + + for n in mod_graph.nodes: + for op in n.output_ports: + vals = outputs[n.id][op.id] + plt.figure() + for i in vals: + plt.plot(times, vals[i], label="%s_%s_%i" % (n.id, op.id, i)) + plt.legend() + + # plt.savefig("Izh_run.png", bbox_inches="tight") + + if not "-nogui" in sys.argv: + plt.show() + + +if __name__ == "__main__": + + if len(sys.argv)==1 or sys.argv[1]=='-run': + print("Please specify the MDF file to run") + else: + f = sys.argv[1] + execute(f) diff --git a/examples/NeuroML/PyNN/clean.sh b/examples/NeuroML/PyNN/clean.sh new file mode 100755 index 00000000..4b97ba76 --- /dev/null +++ b/examples/NeuroML/PyNN/clean.sh @@ -0,0 +1,3 @@ +rm -rf *gv* *dat *spikes x86_64 arm64 + +mv *pkl *txt *mdf* *png *mod LEMS* *nml /tmp diff --git a/examples/NeuroML/PyNN/regenerateAndTest.sh b/examples/NeuroML/PyNN/regenerateAndTest.sh new file mode 100755 index 00000000..bd7ff04a --- /dev/null +++ b/examples/NeuroML/PyNN/regenerateAndTest.sh @@ -0,0 +1,24 @@ +#!/bin/bash +set -ex + +run_gui_examples=true + +if [[ ($# -eq 1) && ($1 == '-nogui') ]]; then + run_gui_examples=false +fi + +#### Generate single cell example +python Generate.py -one -nml +pynml -validate OneCell.net.nml + +python Generate.py -one -mdf +python RunInMDF.py OneCell.mdf.json -nogui + + +#### Generate multiple input example +python Generate.py -input_weights -nml +pynml -validate InputWeights.net.nml + +python Generate.py -input_weights -mdf +python RunInMDF.py InputWeights.mdf.json -nogui + From c85d08e11e8d04ec11e667bf43d4509fb70da921 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Fri, 19 May 2023 17:59:33 +0100 Subject: [PATCH 06/18] Formatted --- examples/NeuroML/PyNN/Generate.py | 52 +++++++++++++--------- examples/NeuroML/PyNN/RunInMDF.py | 4 +- examples/NeuroML/PyNN/clean.sh | 4 +- examples/NeuroML/PyNN/regenerateAndTest.sh | 3 +- 4 files changed, 37 insertions(+), 26 deletions(-) diff --git a/examples/NeuroML/PyNN/Generate.py b/examples/NeuroML/PyNN/Generate.py index 76f18673..29cf18ed 100644 --- a/examples/NeuroML/PyNN/Generate.py +++ b/examples/NeuroML/PyNN/Generate.py @@ -10,20 +10,21 @@ from neuromllite import Projection, RandomConnectivity, Input, Simulation import sys -def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8'): - + +def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8"): + ################################################################################ ### Build new network net = Network(id=ref) - net.notes = "Example: %s"%ref + net.notes = "Example: %s" % ref net.parameters = {"input_amp": 0.99} cell = Cell(id="testcell", pynn_cell="IF_cond_alpha") cell.parameters = {"tau_refrac": 5, "i_offset": 0.1} net.cells.append(cell) - if num_pop1>0: + if num_pop1 > 0: cell2 = Cell(id="testcell2", pynn_cell="IF_cond_alpha") cell2.parameters = {"tau_refrac": 5, "i_offset": -0.1} net.cells.append(cell2) @@ -35,7 +36,9 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' ) net.input_sources.append(input_source) - r1 = RectangularRegion(id="region1", x=0, y=0, z=0, width=1000, height=100, depth=1000) + r1 = RectangularRegion( + id="region1", x=0, y=0, z=0, width=1000, height=100, depth=1000 + ) net.regions.append(r1) p0 = Population( @@ -47,7 +50,7 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' ) net.populations.append(p0) - if num_pop1>0: + if num_pop1 > 0: p1 = Population( id="pop1", size=num_pop1, @@ -57,7 +60,7 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' ) net.populations.append(p1) - '''p2 = Population( + """p2 = Population( id="pop2", size=1, component=cell2.id, @@ -65,7 +68,7 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' random_layout=RandomLayout(region=r1.id), ) - net.populations.append(p2)''' + net.populations.append(p2)""" net.synapses.append( Synapse( @@ -75,17 +78,16 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' parameters={"e_rev": -10, "tau_syn": 2}, ) ) - '''net.synapses.append( + """net.synapses.append( Synapse( id="gabaSyn", pynn_receptor_type="inhibitory", pynn_synapse_type="cond_alpha", parameters={"e_rev": -80, "tau_syn": 10}, ) - )''' + )""" - - if num_pop1>0: + if num_pop1 > 0: net.projections.append( Projection( id="proj0", @@ -98,7 +100,7 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' ) net.projections[0].random_connectivity = RandomConnectivity(probability=1) - '''net.projections.append( + """net.projections.append( Projection( id="proj1", presynaptic=p0.id, @@ -108,22 +110,27 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' weight=0.01, ) ) - net.projections[1].random_connectivity = RandomConnectivity(probability=1)''' + net.projections[1].random_connectivity = RandomConnectivity(probability=1)""" net.inputs.append( - Input(id="stim", input_source=input_source.id, population=p0.id, percentage=input_percentage, weight=input_weight) + Input( + id="stim", + input_source=input_source.id, + population=p0.id, + percentage=input_percentage, + weight=input_weight, + ) ) print(net.to_json()) net_json_file = net.to_json_file("%s.json" % net.id) net_yaml_file = net.to_yaml_file("%s.yaml" % net.id) - ################################################################################ ### Build Simulation object & save as JSON sim = Simulation( - id="Sim%s"%net.id, + id="Sim%s" % net.id, network=net_json_file, duration="1000", dt="0.01", @@ -139,12 +146,19 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' return sim, net + if __name__ == "__main__": if "-one" in sys.argv: sim, net = generate("OneCell", num_pop0=1, num_pop1=0, input_percentage=100) elif "-input_weights" in sys.argv: - sim, net = generate("InputWeights", num_pop0=4, num_pop1=0, input_percentage=62, input_weight='.7') + sim, net = generate( + "InputWeights", + num_pop0=4, + num_pop1=0, + input_percentage=62, + input_weight=".7", + ) else: sim, net = generate("All") @@ -154,5 +168,3 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight='.8' from neuromllite.NetworkGenerator import check_to_generate_or_run check_to_generate_or_run(sys.argv, sim) - - diff --git a/examples/NeuroML/PyNN/RunInMDF.py b/examples/NeuroML/PyNN/RunInMDF.py index 87797617..92f21373 100644 --- a/examples/NeuroML/PyNN/RunInMDF.py +++ b/examples/NeuroML/PyNN/RunInMDF.py @@ -84,8 +84,8 @@ def execute(mdf_filename): if __name__ == "__main__": - - if len(sys.argv)==1 or sys.argv[1]=='-run': + + if len(sys.argv) == 1 or sys.argv[1] == "-run": print("Please specify the MDF file to run") else: f = sys.argv[1] diff --git a/examples/NeuroML/PyNN/clean.sh b/examples/NeuroML/PyNN/clean.sh index 4b97ba76..91dfdf72 100755 --- a/examples/NeuroML/PyNN/clean.sh +++ b/examples/NeuroML/PyNN/clean.sh @@ -1,3 +1,3 @@ -rm -rf *gv* *dat *spikes x86_64 arm64 +rm -rf *gv* *dat *spikes x86_64 arm64 -mv *pkl *txt *mdf* *png *mod LEMS* *nml /tmp +mv *pkl *txt *mdf* *png *mod LEMS* *nml /tmp diff --git a/examples/NeuroML/PyNN/regenerateAndTest.sh b/examples/NeuroML/PyNN/regenerateAndTest.sh index bd7ff04a..37f59b79 100755 --- a/examples/NeuroML/PyNN/regenerateAndTest.sh +++ b/examples/NeuroML/PyNN/regenerateAndTest.sh @@ -17,8 +17,7 @@ python RunInMDF.py OneCell.mdf.json -nogui #### Generate multiple input example python Generate.py -input_weights -nml -pynml -validate InputWeights.net.nml +pynml -validate InputWeights.net.nml python Generate.py -input_weights -mdf python RunInMDF.py InputWeights.mdf.json -nogui - From 25c07054241520adf2ab77238e87bceebce7b89b Mon Sep 17 00:00:00 2001 From: pgleeson Date: Thu, 25 May 2023 12:08:52 +0100 Subject: [PATCH 07/18] Updates to test pynn hh --- .gitignore | 9 +++++++ examples/NeuroML/PyNN/Generate.py | 45 ++++++++++++++++++++++--------- examples/NeuroML/PyNN/RunInMDF.py | 6 +++-- examples/NeuroML/PyNN/clean.sh | 2 +- 4 files changed, 46 insertions(+), 16 deletions(-) diff --git a/.gitignore b/.gitignore index 983da163..7f2117b9 100644 --- a/.gitignore +++ b/.gitignore @@ -278,3 +278,12 @@ Thumbs.db #thumbnail cache on Windows /examples/NeuroML/arm64 /examples/MDF/RNN/iaf.net /examples/MDF/RNN/iaf.net2 +/examples/NeuroML/PyNN/All* +/examples/NeuroML/PyNN/*dat +/examples/NeuroML/PyNN/*.png +/examples/NeuroML/PyNN/*.1 +/examples/NeuroML/PyNN/InputWeights* +/examples/NeuroML/PyNN/OneCell* +/examples/NeuroML/PyNN/Sim* +/examples/NeuroML/PyNN/LEMS_Sim* +/examples/NeuroML/PyNN/HH* diff --git a/examples/NeuroML/PyNN/Generate.py b/examples/NeuroML/PyNN/Generate.py index 29cf18ed..4f2cd954 100644 --- a/examples/NeuroML/PyNN/Generate.py +++ b/examples/NeuroML/PyNN/Generate.py @@ -11,7 +11,14 @@ import sys -def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8"): +def generate( + ref, + num_pop0=2, + num_pop1=2, + input_percentage=50, + input_weight=".8", + pynn_cell="IF_curr_alpha", +): ################################################################################ ### Build new network @@ -20,14 +27,15 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8" net.notes = "Example: %s" % ref net.parameters = {"input_amp": 0.99} - cell = Cell(id="testcell", pynn_cell="IF_cond_alpha") - cell.parameters = {"tau_refrac": 5, "i_offset": 0.1} - net.cells.append(cell) + cell = Cell(id="testcell", pynn_cell=pynn_cell) - if num_pop1 > 0: - cell2 = Cell(id="testcell2", pynn_cell="IF_cond_alpha") - cell2.parameters = {"tau_refrac": 5, "i_offset": -0.1} - net.cells.append(cell2) + cell.parameters = {"i_offset": 0.0} + if "IF_" in pynn_cell: + cell.parameters["tau_refrac"] = 5 + else: + cell.parameters = {"i_offset": 0.05} + net.parameters = {"input_amp": 0} + net.cells.append(cell) input_source = InputSource( id="i_clamp", @@ -54,7 +62,7 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8" p1 = Population( id="pop1", size=num_pop1, - component=cell2.id, + component=cell.id, properties={"color": "0 1 0", "radius": 20}, random_layout=RandomLayout(region=r1.id), ) @@ -74,8 +82,8 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8" Synapse( id="ampaSyn", pynn_receptor_type="excitatory", - pynn_synapse_type="cond_alpha", - parameters={"e_rev": -10, "tau_syn": 2}, + pynn_synapse_type="curr_alpha", + parameters={"tau_syn": 2}, ) ) """net.synapses.append( @@ -122,7 +130,6 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8" ) ) - print(net.to_json()) net_json_file = net.to_json_file("%s.json" % net.id) net_yaml_file = net.to_yaml_file("%s.yaml" % net.id) @@ -135,7 +142,7 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8" duration="1000", dt="0.01", record_traces={"all": "*"}, - record_spikes={"pop0": "*"}, + record_spikes={"pop0": "*"} if "IF_" in pynn_cell else {}, ) sim.to_json_file() @@ -151,6 +158,10 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8" if "-one" in sys.argv: sim, net = generate("OneCell", num_pop0=1, num_pop1=0, input_percentage=100) + elif "-hh" in sys.argv: + sim, net = generate( + "HH", num_pop0=1, num_pop1=0, input_percentage=0, pynn_cell="HH_cond_exp" + ) elif "-input_weights" in sys.argv: sim, net = generate( "InputWeights", @@ -159,6 +170,14 @@ def generate(ref, num_pop0=2, num_pop1=2, input_percentage=50, input_weight=".8" input_percentage=62, input_weight=".7", ) + elif "-simple_net" in sys.argv: + sim, net = generate( + "SimpleNet", + num_pop0=1, + num_pop1=1, + input_percentage=100, + input_weight="1", + ) else: sim, net = generate("All") diff --git a/examples/NeuroML/PyNN/RunInMDF.py b/examples/NeuroML/PyNN/RunInMDF.py index 92f21373..7c3e643d 100644 --- a/examples/NeuroML/PyNN/RunInMDF.py +++ b/examples/NeuroML/PyNN/RunInMDF.py @@ -8,8 +8,8 @@ def execute(mdf_filename): mdf_model = load_mdf(mdf_filename) mod_graph = mdf_model.graphs[0] - dt = 0.001 - duration = 1 + dt = 0.00005 + duration = 0.2 mdf_model.to_graph_image( engine="dot", @@ -58,6 +58,8 @@ def execute(mdf_filename): for n in mod_graph.nodes: for op in n.output_ports: ov = eg.enodes[n.id].evaluable_outputs[op.id].curr_value + if type(ov) == int or type(ov) == float: + ov = [ov] for i in range(len(ov)): if not i in outputs[n.id][op.id]: outputs[n.id][op.id][i] = [] diff --git a/examples/NeuroML/PyNN/clean.sh b/examples/NeuroML/PyNN/clean.sh index 91dfdf72..37b9b47c 100755 --- a/examples/NeuroML/PyNN/clean.sh +++ b/examples/NeuroML/PyNN/clean.sh @@ -1,3 +1,3 @@ rm -rf *gv* *dat *spikes x86_64 arm64 -mv *pkl *txt *mdf* *png *mod LEMS* *nml /tmp +mv *pkl *txt *mdf* *png *mod LEMS* *nml All* Input* One* Sim* HH* /tmp From 889712116d39da1fd7062daf16d10869e2c5803c Mon Sep 17 00:00:00 2001 From: pgleeson Date: Thu, 25 May 2023 18:35:16 +0100 Subject: [PATCH 08/18] Improved handling of spike transfers --- .../api/export_format/NeuroML/ABCD.1.mdf.png | Bin 13876 -> 32065 bytes .../api/export_format/NeuroML/ABCD.mdf.png | Bin 117466 -> 289157 bytes .../api/export_format/NeuroML/FN.gv.png | Bin 88696 -> 94410 bytes .../api/export_format/NeuroML/FNmulti.png | Bin 110040 -> 115502 bytes .../source/api/export_format/NeuroML/Izh.png | Bin 109697 -> 130492 bytes .../NeuroML/IzhikevichTest.gv.png | Bin 106871 -> 127600 bytes examples/NeuroML/ABCD.1.mdf.png | Bin 13876 -> 32065 bytes examples/NeuroML/ABCD.mdf.json | 307 +++++++++++++++++- examples/NeuroML/ABCD.mdf.png | Bin 117466 -> 289157 bytes examples/NeuroML/ABCD.mdf.yaml | 235 +++++++++++++- examples/NeuroML/FN.gv.png | Bin 88696 -> 94410 bytes examples/NeuroML/FN.mdf.json | 8 + examples/NeuroML/FN.mdf.yaml | 5 + examples/NeuroML/FNmulti.png | Bin 110040 -> 115502 bytes examples/NeuroML/Izh.png | Bin 109697 -> 130492 bytes examples/NeuroML/IzhikevichTest.gv.png | Bin 106871 -> 127600 bytes examples/NeuroML/IzhikevichTest.mdf.json | 35 +- examples/NeuroML/IzhikevichTest.mdf.yaml | 22 +- examples/NeuroML/PyNN/RunInMDF.py | 9 +- examples/NeuroML/PyNN/regenerateAndTest.sh | 15 + examples/NeuroML/regenerateAndTest.sh | 6 + 21 files changed, 597 insertions(+), 45 deletions(-) diff --git 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"spike" + }, "V": { "value": "V" }, @@ -54,6 +72,21 @@ 2.0 ] }, + "spike": { + "default_initial_value": [ + 0 + ], + "conditions": { + "condition_0_on": { + "test": "OUTPUT < 0", + "value": 1 + }, + "condition_0_off": { + "test": "spike > 0", + "value": 0 + } + } + }, "V": { "value": 0 }, @@ -65,6 +98,9 @@ "INPUT": {} }, "output_ports": { + "spike": { + "value": "spike" + }, "V": { "value": "V" }, @@ -101,17 +137,35 @@ 0.0 ] }, + "spike": { + "default_initial_value": [ + 0 + ], + "conditions": { + "condition_0_on": { + "test": "OUTPUT < 0", + "value": 1 + }, + "condition_0_off": { + "test": "spike > 0", + "value": 0 + } + } + }, "V": { "value": 0 }, "OUTPUT": { - "value": "1/(1+math.exp(-1*gain*(INPUT + bias - x_0)+offset))" + "value": "1/(1+numpy.exp(-1*gain*(INPUT + bias - x_0)+offset))" } }, "input_ports": { "INPUT": {} }, "output_ports": { + "spike": { + "value": "spike" + }, "V": { "value": "V" }, @@ -148,17 +202,35 @@ 0.0 ] }, + "spike": { + "default_initial_value": [ + 0 + ], + "conditions": { + "condition_0_on": { + "test": "OUTPUT < 0", + "value": 1 + }, + "condition_0_off": { + "test": "spike > 0", + "value": 0 + } + } + }, "V": { "value": 0 }, "OUTPUT": { - "value": "scale * math.exp((rate * INPUT) + bias) + offset" + "value": "scale * numpy.exp((rate * INPUT) + bias) + offset" } }, "input_ports": { "INPUT": {} }, "output_ports": { + "spike": { + "value": "spike" + }, "V": { "value": "V" }, @@ -185,8 +257,24 @@ 0.1 ] }, + "spike": { + "default_initial_value": [ + 0 + ], + "conditions": { + "condition_0_on": { + "test": "OUTPUT < 0", + "value": 1 + }, + "condition_0_off": { + "test": "spike > 0", + "value": 0 + } + } + }, "OUTPUT": { - "time_derivative": "(rate * INPUT) / time_step_size" + "time_derivative": "(rate * INPUT) / time_step_size", + "default_initial_value": 0 }, "V": { "value": 0 @@ -196,6 +284,9 @@ "INPUT": {} }, "output_ports": { + "spike": { + "value": "spike" + }, "OUTPUT": { "value": "OUTPUT" }, @@ -204,42 +295,222 @@ } }, "notes": "Cell: [Cell(notes=None, id='d', parameters=None, neuroml2_source_file=None, lems_source_file='PNL.xml', neuroml2_cell=None, pynn_cell=None, arbor_cell=None, bindsnet_node=None)] is defined in PNL.xml and in Lems is: Component, id: d, type: pnlSimpleIntegratorMechanism,\n parameters: {'rate': '0.05', 'time_step_size': '0.1s'}\n parent: None\n" + }, + "proj_input_rsDL": { + "parameters": { + "weight": { + "value": [ + 1.0 + ] + }, + "SEC": { + "value": [ + 1.0 + ] + }, + "rpeer": { + "value": "peer_OUTPUT" + }, + "I": { + "value": "weight * rpeer" + } + }, + "input_ports": { + "peer_OUTPUT": {} + }, + "output_ports": { + "I": { + "value": "I" + } + }, + "notes": "Cell: [Synapse(notes=None, id='rsDL', parameters=None, neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None, pynn_receptor_type=None)] is defined in PNL.xml and in Lems is: Component, id: rsDL, type: synapseDL,\n parameters: {}\n parent: None\n" + }, + "proj0_rsDL": { + "parameters": { + "weight": { + "value": [ + 1.0 + ] + }, + "SEC": { + "value": [ + 1.0 + ] + }, + "rpeer": { + "value": "peer_OUTPUT" + }, + "I": { + "value": "weight * rpeer" + } + }, + "input_ports": { + "peer_OUTPUT": {} + }, + "output_ports": { + "I": { + "value": "I" + } + }, + "notes": "Cell: [Synapse(notes=None, id='rsDL', parameters=None, neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None, pynn_receptor_type=None)] is defined in PNL.xml and in Lems is: Component, id: rsDL, type: synapseDL,\n parameters: {}\n parent: None\n" + }, + "proj1_rsDL": { + "parameters": { + "weight": { + "value": [ + 1.0 + ] + }, + "SEC": { + "value": [ + 1.0 + ] + }, + "rpeer": { + "value": "peer_OUTPUT" + }, + "I": { + "value": "weight * rpeer" + } + }, + "input_ports": { + "peer_OUTPUT": {} + }, + "output_ports": { + "I": { + "value": "I" + } + }, + "notes": "Cell: [Synapse(notes=None, id='rsDL', parameters=None, neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None, pynn_receptor_type=None)] is defined in PNL.xml and in Lems is: Component, id: rsDL, type: synapseDL,\n parameters: {}\n parent: None\n" + }, + "proj2_rsDL": { + "parameters": { + "weight": { + "value": [ + 1.0 + ] + }, + "SEC": { + "value": [ + 1.0 + ] + }, + "rpeer": { + "value": "peer_OUTPUT" + }, + "I": { + "value": "weight * rpeer" + } + }, + "input_ports": { + "peer_OUTPUT": {} + }, + "output_ports": { + "I": { + "value": "I" + } + }, + "notes": "Cell: [Synapse(notes=None, id='rsDL', parameters=None, neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None, pynn_receptor_type=None)] is defined in PNL.xml and in Lems is: Component, id: rsDL, type: synapseDL,\n parameters: {}\n parent: None\n" + }, + "proj3_rsDL": { + "parameters": { + "weight": { + "value": [ + 1.0 + ] + }, + "SEC": { + "value": [ + 1.0 + ] + }, + "rpeer": { + "value": "peer_OUTPUT" + }, + "I": { + "value": "weight * rpeer" + } + }, + "input_ports": { + "peer_OUTPUT": {} + }, + "output_ports": { + "I": { + "value": "I" + } + }, + "notes": "Cell: [Synapse(notes=None, id='rsDL', parameters=None, neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None, pynn_receptor_type=None)] is defined in PNL.xml and in Lems is: Component, id: rsDL, type: synapseDL,\n parameters: {}\n parent: None\n" } }, "edges": { - "Edge A to B": { - "name": "Edge A to B", + "A_TO_proj_input_rsDL": { + "name": "A_TO_proj_input_rsDL", "sender_port": "OUTPUT", - "receiver_port": "INPUT", + "receiver_port": "peer_OUTPUT", "sender": "A", + "receiver": "proj_input_rsDL" + }, + "proj_input_rsDL_TO_B": { + "name": "proj_input_rsDL_TO_B", + "sender_port": "I", + "receiver_port": "INPUT", + "sender": "proj_input_rsDL", "receiver": "B" }, - "Edge A_input to A": { - "name": "Edge A_input to A", + "A_input_TO_proj0_rsDL": { + "name": "A_input_TO_proj0_rsDL", "sender_port": "OUTPUT", - "receiver_port": "INPUT", + "receiver_port": "peer_OUTPUT", "sender": "A_input", + "receiver": "proj0_rsDL" + }, + "proj0_rsDL_TO_A": { + "name": "proj0_rsDL_TO_A", + "sender_port": "I", + "receiver_port": "INPUT", + "sender": "proj0_rsDL", "receiver": "A" }, - "Edge A to C": { - "name": "Edge A to C", + "A_TO_proj1_rsDL": { + "name": "A_TO_proj1_rsDL", "sender_port": "OUTPUT", - "receiver_port": "INPUT", + "receiver_port": "peer_OUTPUT", "sender": "A", + "receiver": "proj1_rsDL" + }, + "proj1_rsDL_TO_C": { + "name": "proj1_rsDL_TO_C", + "sender_port": "I", + "receiver_port": "INPUT", + "sender": "proj1_rsDL", "receiver": "C" }, - "Edge B to D": { - "name": "Edge B to D", + "B_TO_proj2_rsDL": { + "name": "B_TO_proj2_rsDL", "sender_port": "OUTPUT", - "receiver_port": "INPUT", + "receiver_port": "peer_OUTPUT", "sender": "B", + "receiver": "proj2_rsDL" + }, + "proj2_rsDL_TO_D": { + "name": "proj2_rsDL_TO_D", + "sender_port": "I", + "receiver_port": "INPUT", + "sender": "proj2_rsDL", "receiver": "D" }, - "Edge C to D": { - "name": "Edge C to D", + "C_TO_proj3_rsDL": { + "name": "C_TO_proj3_rsDL", "sender_port": "OUTPUT", - "receiver_port": "INPUT", + "receiver_port": "peer_OUTPUT", "sender": "C", + "receiver": "proj3_rsDL" + }, + "proj3_rsDL_TO_D": { + "name": "proj3_rsDL_TO_D", + "sender_port": "I", + "receiver_port": "INPUT", + "sender": "proj3_rsDL", "receiver": "D" } } diff --git a/examples/NeuroML/ABCD.mdf.png b/examples/NeuroML/ABCD.mdf.png index 84b7636642c5d73a884e633e48dec536792f7828..1cdc552454c760ed89d9e78717f834be91539deb 100644 GIT binary patch literal 289157 zcmd43by!txw=cW^0co)SDFp$g1?e&n5l|HAZlp^}Nl`*dM7mT&r8^gmbc5ug8|iL1 zW9qxlxA(cef4}g(yk6viwdT6#eUI_0G5w!Dc}PNdg%E{8kvx)?R6wE5yhWi1SI6 zn)dx;+sU+tjsl9K9Sz?2Hu2^n{a(|qrI{T@x#}6plK=Vht={J63W48${xr5Fdw%%O z*U}_O|LyB3#gPl=$U`yD@7=>DCnsMTK}QxB3wHPPG&MD)teE=yN#km2YObxVUFGKf z;J7^0m8QZa?6eZ-?R}z?<0t)CUqQi?oIK@yyoeKzK|S%#%1FQo0XcaI?`^Z+ex039 z6Pzar;^O1eUJElY*j>1B^*RGXxZP|k6|;Oo>-Wd8OU<;jw5EOORPOHX#b~rj$F!v6 zw{Aj0LTOpqsev2=CPznp%b`z2WA3qstCf{8#w-jB0s+|f7#I}3)CEv%?$0GYfBF>V 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Ue`A!^ISNrmQeGlUT>s<$0LPgn(*OVf diff --git a/examples/NeuroML/ABCD.mdf.yaml b/examples/NeuroML/ABCD.mdf.yaml index c7a157c8..b4393379 100644 --- a/examples/NeuroML/ABCD.mdf.yaml +++ b/examples/NeuroML/ABCD.mdf.yaml @@ -13,6 +13,16 @@ ABCD: variable: value: - 2.0 + spike: + default_initial_value: + - 0 + conditions: + condition_0_on: + test: OUTPUT < 0 + value: 1 + condition_0_off: + test: spike > 0 + value: 0 V: value: 0 OUTPUT: @@ -20,6 +30,8 @@ ABCD: input_ports: INPUT: {} output_ports: + spike: + value: spike V: value: V OUTPUT: @@ -42,6 +54,16 @@ ABCD: intercept: value: - 2.0 + spike: + default_initial_value: + - 0 + conditions: + condition_0_on: + test: OUTPUT < 0 + value: 1 + condition_0_off: + test: spike > 0 + value: 0 V: value: 0 OUTPUT: @@ -49,6 +71,8 @@ ABCD: input_ports: INPUT: {} output_ports: + spike: + value: spike V: value: V OUTPUT: @@ -77,13 +101,25 @@ ABCD: offset: value: - 0.0 + spike: + default_initial_value: + - 0 + conditions: + condition_0_on: + test: OUTPUT < 0 + value: 1 + condition_0_off: + test: spike > 0 + value: 0 V: value: 0 OUTPUT: - value: 1/(1+math.exp(-1*gain*(INPUT + bias - x_0)+offset)) + value: 1/(1+numpy.exp(-1*gain*(INPUT + bias - x_0)+offset)) input_ports: INPUT: {} output_ports: + spike: + value: spike V: value: V OUTPUT: @@ -112,13 +148,25 @@ ABCD: offset: value: - 0.0 + spike: + default_initial_value: + - 0 + conditions: + condition_0_on: + test: OUTPUT < 0 + value: 1 + condition_0_off: + test: spike > 0 + value: 0 V: value: 0 OUTPUT: - value: scale * math.exp((rate * INPUT) + bias) + offset + value: scale * numpy.exp((rate * INPUT) + bias) + offset input_ports: INPUT: {} output_ports: + spike: + value: spike V: value: V OUTPUT: @@ -141,13 +189,26 @@ ABCD: time_step_size: value: - 0.1 + spike: + default_initial_value: + - 0 + conditions: + condition_0_on: + test: OUTPUT < 0 + value: 1 + condition_0_off: + test: spike > 0 + value: 0 OUTPUT: time_derivative: (rate * INPUT) / time_step_size + default_initial_value: 0 V: value: 0 input_ports: INPUT: {} output_ports: + spike: + value: spike OUTPUT: value: OUTPUT V: @@ -158,34 +219,174 @@ ABCD: \ and in Lems is: Component, id: d, type: pnlSimpleIntegratorMechanism,\n\ \ parameters: {'rate': '0.05', 'time_step_size': '0.1s'}\n\ \ parent: None\n" + proj_input_rsDL: + parameters: + weight: + value: + - 1.0 + SEC: + value: + - 1.0 + rpeer: + value: peer_OUTPUT + I: + value: weight * rpeer + input_ports: + peer_OUTPUT: {} + output_ports: + I: + value: I + notes: "Cell: [Synapse(notes=None, id='rsDL', parameters=None,\ + \ neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None,\ + \ pynn_receptor_type=None)] is defined in PNL.xml and in Lems\ + \ is: Component, id: rsDL, type: synapseDL,\n parameters:\ + \ {}\n parent: None\n" + proj0_rsDL: + parameters: + weight: + value: + - 1.0 + SEC: + value: + - 1.0 + rpeer: + value: peer_OUTPUT + I: + value: weight * rpeer + input_ports: + peer_OUTPUT: {} + output_ports: + I: + value: I + notes: "Cell: [Synapse(notes=None, id='rsDL', parameters=None,\ + \ neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None,\ + \ pynn_receptor_type=None)] is defined in PNL.xml and in Lems\ + \ is: Component, id: rsDL, type: synapseDL,\n parameters:\ + \ {}\n parent: None\n" + proj1_rsDL: + parameters: + weight: + value: + - 1.0 + SEC: + value: + - 1.0 + rpeer: + value: peer_OUTPUT + I: + value: weight * rpeer + input_ports: + peer_OUTPUT: {} + output_ports: + I: + value: I + notes: "Cell: [Synapse(notes=None, id='rsDL', parameters=None,\ + \ neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None,\ + \ pynn_receptor_type=None)] is defined in PNL.xml and in Lems\ + \ is: Component, id: rsDL, type: synapseDL,\n parameters:\ + \ {}\n parent: None\n" + proj2_rsDL: + parameters: + weight: + value: + - 1.0 + SEC: + value: + - 1.0 + rpeer: + value: peer_OUTPUT + I: + value: weight * rpeer + input_ports: + peer_OUTPUT: {} + output_ports: + I: + value: I + notes: "Cell: [Synapse(notes=None, id='rsDL', parameters=None,\ + \ neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None,\ + \ pynn_receptor_type=None)] is defined in PNL.xml and in Lems\ + \ is: Component, id: rsDL, type: synapseDL,\n parameters:\ + \ {}\n parent: None\n" + proj3_rsDL: + parameters: + weight: + value: + - 1.0 + SEC: + value: + - 1.0 + rpeer: + value: peer_OUTPUT + I: + value: weight * rpeer + input_ports: + peer_OUTPUT: {} + output_ports: + I: + value: I + notes: "Cell: [Synapse(notes=None, id='rsDL', parameters=None,\ + \ neuroml2_source_file=None, lems_source_file='PNL.xml', pynn_synapse_type=None,\ + \ pynn_receptor_type=None)] is defined in PNL.xml and in Lems\ + \ is: Component, id: rsDL, type: synapseDL,\n parameters:\ + \ {}\n parent: None\n" edges: - Edge A to B: - name: Edge A to B + A_TO_proj_input_rsDL: + name: A_TO_proj_input_rsDL sender_port: OUTPUT - receiver_port: INPUT + receiver_port: peer_OUTPUT sender: A + receiver: proj_input_rsDL + proj_input_rsDL_TO_B: + name: proj_input_rsDL_TO_B + sender_port: I + receiver_port: INPUT + sender: proj_input_rsDL receiver: B - Edge A_input to A: - name: Edge A_input to A + A_input_TO_proj0_rsDL: + name: A_input_TO_proj0_rsDL sender_port: OUTPUT - receiver_port: INPUT + receiver_port: peer_OUTPUT sender: A_input + receiver: proj0_rsDL + proj0_rsDL_TO_A: + name: proj0_rsDL_TO_A + sender_port: I + receiver_port: INPUT + sender: proj0_rsDL receiver: A - Edge A to C: - name: Edge A to C + A_TO_proj1_rsDL: + name: A_TO_proj1_rsDL sender_port: OUTPUT - receiver_port: INPUT + receiver_port: peer_OUTPUT sender: A + receiver: proj1_rsDL + proj1_rsDL_TO_C: + name: proj1_rsDL_TO_C + sender_port: I + receiver_port: INPUT + sender: proj1_rsDL receiver: C - Edge B to D: - name: Edge B to D + B_TO_proj2_rsDL: + name: B_TO_proj2_rsDL sender_port: OUTPUT - receiver_port: INPUT + receiver_port: peer_OUTPUT sender: B + receiver: proj2_rsDL + proj2_rsDL_TO_D: + name: proj2_rsDL_TO_D + sender_port: 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b/examples/NeuroML/FN.mdf.json index 5b003e2a..5b3b07c7 100644 --- a/examples/NeuroML/FN.mdf.json +++ b/examples/NeuroML/FN.mdf.json @@ -102,6 +102,11 @@ 0.001 ] }, + "spike": { + "value": [ + 0 + ] + }, "V": { "default_initial_value": "initial_v", "time_derivative": "(a_v*V*V*V + (1+threshold_exc)*b_v*V*V + (-1*threshold_exc)*c_v*V + d_v + e_v*W + f_v*Iext + INPUT) / (time_constant_v*MSEC)" @@ -115,6 +120,9 @@ "INPUT": {} }, "output_ports": { + "spike": { + "value": "spike" + }, "V": { "value": "V" }, diff --git a/examples/NeuroML/FN.mdf.yaml b/examples/NeuroML/FN.mdf.yaml index 9f985197..2fe6d035 100644 --- a/examples/NeuroML/FN.mdf.yaml +++ b/examples/NeuroML/FN.mdf.yaml @@ -64,6 +64,9 @@ FN: MSEC: value: - 0.001 + spike: + value: + - 0 V: default_initial_value: initial_v time_derivative: (a_v*V*V*V + (1+threshold_exc)*b_v*V*V @@ -76,6 +79,8 @@ FN: input_ports: INPUT: {} output_ports: + spike: + value: spike V: value: V W: diff --git a/examples/NeuroML/FNmulti.png 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"condition_0_off": { + "test": "spike > 0", + "value": 0 + } + } + }, "v": { "default_initial_value": "v0", "conditions": { @@ -88,6 +103,9 @@ "synapses_i": {} }, "output_ports": { + "spike": { + "value": "spike" + }, "v": { "value": "v" }, @@ -117,6 +135,11 @@ 0.5 ] }, + "weight": { + "value": [ + 1 + ] + }, "i": { "conditions": { "condition_0": { @@ -136,14 +159,16 @@ "t": { "default_initial_value": 0, "time_derivative": "1" - }, - "weight": { - "value": [ + } + }, + "input_ports": { + "spike_input": { + "shape": [ 1 - ] + ], + "reduce": "add" } }, - "input_ports": {}, "output_ports": { "i": { "value": "i" diff --git a/examples/NeuroML/IzhikevichTest.mdf.yaml b/examples/NeuroML/IzhikevichTest.mdf.yaml index 6f8bb518..12ef3586 100644 --- a/examples/NeuroML/IzhikevichTest.mdf.yaml +++ b/examples/NeuroML/IzhikevichTest.mdf.yaml @@ -36,6 +36,16 @@ IzhikevichTest: d: value: - 1.0e-10 + spike: + default_initial_value: + - 0 + conditions: + condition_0_on: + test: v > vpeak + value: 1 + condition_0_off: + test: spike > 0 + value: 0 v: default_initial_value: v0 conditions: @@ -57,6 +67,8 @@ IzhikevichTest: input_ports: synapses_i: {} output_ports: + spike: + value: spike v: value: v u: @@ -84,6 +96,9 @@ IzhikevichTest: duration: value: - 0.5 + weight: + value: + - 1 i: conditions: condition_0: @@ -98,10 +113,11 @@ IzhikevichTest: t: default_initial_value: 0 time_derivative: '1' - weight: - value: + input_ports: + spike_input: + shape: - 1 - input_ports: {} + reduce: add output_ports: i: value: i diff --git a/examples/NeuroML/PyNN/RunInMDF.py b/examples/NeuroML/PyNN/RunInMDF.py index 7c3e643d..4a722660 100644 --- a/examples/NeuroML/PyNN/RunInMDF.py +++ b/examples/NeuroML/PyNN/RunInMDF.py @@ -8,8 +8,8 @@ def execute(mdf_filename): mdf_model = load_mdf(mdf_filename) mod_graph = mdf_model.graphs[0] - dt = 0.00005 - duration = 0.2 + dt = 0.001 + duration = 1 mdf_model.to_graph_image( engine="dot", @@ -60,6 +60,11 @@ def execute(mdf_filename): ov = eg.enodes[n.id].evaluable_outputs[op.id].curr_value if type(ov) == int or type(ov) == float: ov = [ov] + if ov is None: + raise Exception( + "Error getting value of output port: %s on node: %s" + % (op, n.id) + ) for i in range(len(ov)): if not i in outputs[n.id][op.id]: outputs[n.id][op.id][i] = [] diff --git a/examples/NeuroML/PyNN/regenerateAndTest.sh b/examples/NeuroML/PyNN/regenerateAndTest.sh index 37f59b79..6b6e13f4 100755 --- a/examples/NeuroML/PyNN/regenerateAndTest.sh +++ b/examples/NeuroML/PyNN/regenerateAndTest.sh @@ -15,9 +15,24 @@ python Generate.py -one -mdf python RunInMDF.py OneCell.mdf.json -nogui +#### Generate HH example +python Generate.py -hh -nml +pynml -validate HH.net.nml + +python Generate.py -hh -mdf +python RunInMDF.py HH.mdf.json -nogui + + #### Generate multiple input example python Generate.py -input_weights -nml pynml -validate InputWeights.net.nml python Generate.py -input_weights -mdf python RunInMDF.py InputWeights.mdf.json -nogui + +#### Generate simple net example +python Generate.py -simple_net -nml +pynml -validate SimpleNet.net.nml + +python Generate.py -simple_net -mdf +python RunInMDF.py SimpleNet.mdf.json -nogui diff --git a/examples/NeuroML/regenerateAndTest.sh b/examples/NeuroML/regenerateAndTest.sh index 1213237a..c70d0b24 100755 --- a/examples/NeuroML/regenerateAndTest.sh +++ b/examples/NeuroML/regenerateAndTest.sh @@ -83,4 +83,10 @@ python -m modeci_mdf.execution_engine IzhikevichTest.mdf.yaml python Izh_run.py -nogui +#### Test PyNN based examples +cd PyNN +./regenerateAndTest.sh + + + echo "Successfully ran all tests" From aceb4406fdb8802a0ea9318a4f6df0fc3fd5a206 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Fri, 26 May 2023 09:48:22 +0100 Subject: [PATCH 09/18] More tests on pynn examples --- .gitignore | 3 +++ .../api/export_format/NeuroML/ABCD.mdf.png | Bin 289157 -> 288164 bytes examples/NeuroML/ABCD.mdf.json | 10 +++++----- examples/NeuroML/ABCD.mdf.png | Bin 289157 -> 288164 bytes examples/NeuroML/ABCD.mdf.yaml | 10 +++++----- examples/NeuroML/PyNN/Generate.py | 6 +++--- examples/NeuroML/PyNN/RunInMDF.py | 2 +- 7 files changed, 17 insertions(+), 14 deletions(-) diff --git a/.gitignore b/.gitignore index 7f2117b9..6c6b30e1 100644 --- a/.gitignore +++ b/.gitignore @@ -287,3 +287,6 @@ Thumbs.db #thumbnail cache on Windows /examples/NeuroML/PyNN/Sim* /examples/NeuroML/PyNN/LEMS_Sim* /examples/NeuroML/PyNN/HH* +/examples/NeuroML/PyNN/arm64 +/examples/NeuroML/PyNN/*.pkl +*_code.gen.c diff --git a/docs/sphinx/source/api/export_format/NeuroML/ABCD.mdf.png b/docs/sphinx/source/api/export_format/NeuroML/ABCD.mdf.png index 1cdc552454c760ed89d9e78717f834be91539deb..885e4fc01898d8fec7e5a211fd49c46d59ca38d4 100644 GIT binary patch delta 239869 zcmcG$1z1&Kw=Rm30)l{a2?!`1N|#88l+xWH-5nD_T0lTSB$hOYlyrA@OLs|k!}%8e z|GxX*ckgrdKKHqgu7@RSt~tLL-x%+B$2;^N!b$7GDR6IqaGf9NKOr?zvh~rtqiPq5 zFL{(R{2rY-ceXVAhZBLSc8P9|Xp8I>6&4aR^{>ERR8L6NeLvv85*@v|So9TXmk{+4 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#thumbnail cache on Windows /examples/NeuroML/PyNN/arm64 /examples/NeuroML/PyNN/*.pkl *_code.gen.c +/examples/NeuroML/PyNN/Net1* diff --git a/examples/NeuroML/PyNN/Generate.py b/examples/NeuroML/PyNN/Generate.py index d2c46247..cfdd7aae 100644 --- a/examples/NeuroML/PyNN/Generate.py +++ b/examples/NeuroML/PyNN/Generate.py @@ -15,6 +15,8 @@ def generate( ref, num_pop0=2, num_pop1=2, + conn_prob=1, + conn_weight=0.3, input_percentage=50, input_weight=".8", pynn_cell="IF_curr_alpha", @@ -103,10 +105,10 @@ def generate( postsynaptic=p1.id, synapse="ampaSyn", delay=2, - weight="0.3", + weight=conn_weight, ) ) - net.projections[0].random_connectivity = RandomConnectivity(probability=1) + net.projections[0].random_connectivity = RandomConnectivity(probability=conn_prob) """net.projections.append( Projection( @@ -142,7 +144,7 @@ def generate( duration="1000", dt="0.01", record_traces={"all": "*"}, - record_spikes={"pop0": "*"} if "IF_" in pynn_cell else {}, + record_spikes={"all": "*"} if "IF_" in pynn_cell else {}, ) sim.to_json_file() @@ -178,6 +180,15 @@ def generate( input_percentage=100, input_weight="1", ) + elif "-net1" in sys.argv: + sim, net = generate( + "Net1", + num_pop0=1, + num_pop1=2, + conn_weight='random()', + input_percentage=100, + input_weight="2*random()", + ) else: sim, net = generate("All") diff --git a/examples/NeuroML/PyNN/clean.sh b/examples/NeuroML/PyNN/clean.sh index 37b9b47c..6ac7357d 100755 --- a/examples/NeuroML/PyNN/clean.sh +++ b/examples/NeuroML/PyNN/clean.sh @@ -1,3 +1,3 @@ rm -rf *gv* *dat *spikes x86_64 arm64 -mv *pkl *txt *mdf* *png *mod LEMS* *nml All* Input* One* Sim* HH* /tmp +mv *pkl *txt *mdf* *png *mod LEMS* *nml All* Input* One* Sim* HH* Net1* /tmp From 8f85e000d5602f06bc137648e29a4a765973c9b2 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Mon, 29 May 2023 17:01:31 +0100 Subject: [PATCH 11/18] Latests tests --- .../api/export_format/NeuroML/ABCD.mdf.png | Bin 288164 -> 290079 bytes examples/NeuroML/ABCD.mdf.json | 14 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Tue, 29 Aug 2023 14:54:39 +0100 Subject: [PATCH 12/18] Update versions github actions --- .github/workflows/ci.yml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 0437a577..7641542f 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -13,9 +13,9 @@ jobs: name: Format runs-on: ubuntu-latest steps: - - uses: actions/checkout@v1 - - uses: actions/setup-python@v2 - - uses: pre-commit/action@v2.0.0 + - uses: actions/checkout@v3 + - uses: actions/setup-python@v4 + - uses: pre-commit/action@v3.0.0 with: extra_args: --hook-stage manual --all-files @@ -29,9 +29,9 @@ jobs: runs-on: [ubuntu-latest, macos-latest, windows-latest] steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - - uses: actions/setup-python@v2 + - uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} @@ -123,7 +123,7 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v1 + - uses: actions/checkout@v3 - name: Build sdist and wheel run: pipx run --spec build pyproject-build From 5bb3a73f28c5cca7dcb9a51c122e9dead39d8067 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Tue, 29 Aug 2023 15:01:08 +0100 Subject: [PATCH 13/18] One more gha action version update --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 7641542f..6943b408 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -128,7 +128,7 @@ jobs: - name: Build sdist and wheel run: pipx run --spec build pyproject-build - - uses: actions/upload-artifact@v2 + - uses: actions/upload-artifact@v3 with: path: dist From 25fec0870594b1871733895d8894e2e131a48dac Mon Sep 17 00:00:00 2001 From: pgleeson Date: Tue, 29 Aug 2023 15:32:11 +0100 Subject: [PATCH 14/18] Specify py version for actions/setup-python@v4 --- .github/workflows/ci.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 6943b408..2815c62e 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -15,6 +15,8 @@ jobs: steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 + with: + python-version: "3.10" - uses: pre-commit/action@v3.0.0 with: extra_args: --hook-stage manual --all-files From f36655fd9a430196c48fc1539eb7376d8d82359c Mon Sep 17 00:00:00 2001 From: pgleeson Date: Tue, 29 Aug 2023 16:06:36 +0100 Subject: [PATCH 15/18] Adding generated mdf files and images for pynn based examples --- .gitignore | 21 +- examples/NeuroML/PyNN/HH.mdf.png | Bin 0 -> 218816 bytes examples/NeuroML/PyNN/HH.mdf.yaml | 191 ++++++++ examples/NeuroML/PyNN/HH.net.nml | 24 + examples/NeuroML/PyNN/InputWeights.mdf.png | Bin 0 -> 268016 bytes examples/NeuroML/PyNN/InputWeights.mdf.yaml | 244 +++++++++++ examples/NeuroML/PyNN/InputWeights.net.nml | 38 ++ examples/NeuroML/PyNN/Net1.mdf.png | Bin 0 -> 559674 bytes examples/NeuroML/PyNN/Net1.mdf.yaml | 461 ++++++++++++++++++++ examples/NeuroML/PyNN/Net1.net.nml | 52 +++ examples/NeuroML/PyNN/OneCell.mdf.png | Bin 0 -> 261345 bytes examples/NeuroML/PyNN/OneCell.mdf.yaml | 193 ++++++++ examples/NeuroML/PyNN/OneCell.net.nml | 26 ++ examples/NeuroML/PyNN/SimpleNet.mdf.png | Bin 0 -> 544449 bytes examples/NeuroML/PyNN/SimpleNet.mdf.yaml | 395 +++++++++++++++++ examples/NeuroML/PyNN/SimpleNet.net.nml | 37 ++ 16 files changed, 1675 insertions(+), 7 deletions(-) create mode 100644 examples/NeuroML/PyNN/HH.mdf.png create mode 100644 examples/NeuroML/PyNN/HH.mdf.yaml create mode 100644 examples/NeuroML/PyNN/HH.net.nml create mode 100644 examples/NeuroML/PyNN/InputWeights.mdf.png create mode 100644 examples/NeuroML/PyNN/InputWeights.mdf.yaml create mode 100644 examples/NeuroML/PyNN/InputWeights.net.nml create mode 100644 examples/NeuroML/PyNN/Net1.mdf.png create mode 100644 examples/NeuroML/PyNN/Net1.mdf.yaml create mode 100644 examples/NeuroML/PyNN/Net1.net.nml create mode 100644 examples/NeuroML/PyNN/OneCell.mdf.png create mode 100644 examples/NeuroML/PyNN/OneCell.mdf.yaml create mode 100644 examples/NeuroML/PyNN/OneCell.net.nml create mode 100644 examples/NeuroML/PyNN/SimpleNet.mdf.png create mode 100644 examples/NeuroML/PyNN/SimpleNet.mdf.yaml create mode 100644 examples/NeuroML/PyNN/SimpleNet.net.nml diff --git a/.gitignore b/.gitignore index 9649831f..613ebb8c 100644 --- a/.gitignore +++ b/.gitignore @@ -280,14 +280,21 @@ Thumbs.db #thumbnail cache on Windows /examples/MDF/RNN/iaf.net2 /examples/NeuroML/PyNN/All* /examples/NeuroML/PyNN/*dat -/examples/NeuroML/PyNN/*.png +/examples/NeuroML/PyNN/*1.png /examples/NeuroML/PyNN/*.1 -/examples/NeuroML/PyNN/InputWeights* -/examples/NeuroML/PyNN/OneCell* -/examples/NeuroML/PyNN/Sim* -/examples/NeuroML/PyNN/LEMS_Sim* -/examples/NeuroML/PyNN/HH* /examples/NeuroML/PyNN/arm64 /examples/NeuroML/PyNN/*.pkl +/examples/NeuroML/PyNN/*.json +/examples/NeuroML/PyNN/*.mdf 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pynn_input='DCSource')]\ + \ is defined in None and in Lems is: Component, id: i_clamp,\ + \ type: pulseGenerator,\n parameters: {'delay': '200.0ms',\ + \ 'duration': '600.0ms', 'amplitude': '0.0nA'}\n parent:\ + \ None\n" + edges: + Edge InputList_stim to pop0: + name: Edge InputList_stim to pop0 + sender_port: i + receiver_port: synapses_i + sender: InputList_stim + receiver: pop0 diff --git a/examples/NeuroML/PyNN/HH.net.nml b/examples/NeuroML/PyNN/HH.net.nml new file mode 100644 index 00000000..5f972ccd --- /dev/null +++ b/examples/NeuroML/PyNN/HH.net.nml @@ -0,0 +1,24 @@ + + Generated by NeuroMLlite v0.5.5 + Generated network: HH + Generation seed: 1234 + NeuroMLlite parameters: + input_amp = 0 + + + + + Example: HH + + + + + + + + + + + + + diff --git a/examples/NeuroML/PyNN/InputWeights.mdf.png b/examples/NeuroML/PyNN/InputWeights.mdf.png new file mode 100644 index 0000000000000000000000000000000000000000..8c07eec1949c05b455dd98d389e2cd36872b73dd GIT binary patch literal 268016 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zuK{)8{%NXYH?JY`I^fJ5&9ILX-unT%m7r4CGlk^wuM5UUUCe$Ami)^j<|djX#$~;kTJ?o@o7Ob|1GTZb9aw<{B5-3k1u_SB=P!RuN!*e#q$c=CjDpB zJMoD`dO|W_)DrFv{nz2q3_LY{vOX8mMLJjXYvlCk78V&1(f@Xh^<~g7fr-h_VtOJb zB5fn$kykjGnQ);sXT?jl=yFMY&wp)$oVsLb|E>e=zp(LgbYkv5y~Gp${8+oVGWh3t U#0!Qx2Q1K(9;?Zh$QcLxKj}~#7ytkO literal 0 HcmV?d00001 diff --git a/examples/NeuroML/PyNN/InputWeights.mdf.yaml b/examples/NeuroML/PyNN/InputWeights.mdf.yaml new file mode 100644 index 00000000..c0aa1a66 --- /dev/null +++ b/examples/NeuroML/PyNN/InputWeights.mdf.yaml @@ -0,0 +1,244 @@ +InputWeights: + format: ModECI MDF v0.4 + graphs: + InputWeights: + notes: 'Example: InputWeights' + nodes: + pop0: + metadata: + color: 1 0 0 + radius: 20 + region: region1 + parameters: + cm: + value: + - 1.0 + - 1.0 + - 1.0 + - 1.0 + i_offset: + value: + - 0.0 + - 0.0 + - 0.0 + - 0.0 + tau_syn_E: + value: + - 0.5 + - 0.5 + - 0.5 + - 0.5 + tau_syn_I: + value: + - 0.5 + - 0.5 + - 0.5 + - 0.5 + v_init: + value: + - -65.0 + - -65.0 + - -65.0 + - -65.0 + tau_m: + value: + - 20.0 + - 20.0 + - 20.0 + - 20.0 + tau_refrac: + value: + - 5.0 + - 5.0 + - 5.0 + - 5.0 + v_reset: + value: + - -65.0 + - -65.0 + - -65.0 + - -65.0 + v_rest: + value: + - -65.0 + - -65.0 + - -65.0 + - -65.0 + v_thresh: + value: + - -50.0 + - -50.0 + - -50.0 + - -50.0 + MSEC: + value: + - 0.001 + - 0.001 + - 0.001 + - 0.001 + MVOLT: + value: + - 0.001 + - 0.001 + - 0.001 + - 0.001 + NFARAD: + value: + - 1.0e-09 + - 1.0e-09 + - 1.0e-09 + - 1.0e-09 + spike: + default_initial_value: + - 0 + - 0 + - 0 + - 0 + conditions: + condition_spike_on: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: 1 + condition_spike_off: + test: spike > 0 + value: 0 + v: + time_derivative: REGIME_integrating * ((MVOLT * ((i_offset/cm) + + ((v_rest - (v/MVOLT)) / tau_m))/MSEC) + (iSyn / + (cm * NFARAD))) + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: v_reset * MVOLT + default_initial_value: v_init * MVOLT + lastSpikeTime: + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: t + ACTIVE_REGIME: + value: + - 1 + - 1 + - 1 + - 1 + INACTIVE_REGIME: + value: + - 0 + - 0 + - 0 + - 0 + REGIME_refractory: + value: REGIME_refractory + default_initial_value: INACTIVE_REGIME + conditions: + regime_exit_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: INACTIVE_REGIME + regime_entry_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: ACTIVE_REGIME + t: + default_initial_value: 0 + time_derivative: '1' + REGIME_integrating: + conditions: + regime_entry_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: ACTIVE_REGIME + regime_exit_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: INACTIVE_REGIME + value: REGIME_integrating + default_initial_value: ACTIVE_REGIME + iSyn: + value: synapses_i + input_ports: + spike_in_E: + shape: + - 4 + reduce: add + spike_in_I: + shape: + - 4 + reduce: add + synapses_i: {} + output_ports: + spike: + value: spike + REGIME_refractory: + value: REGIME_refractory + REGIME_integrating: + value: REGIME_integrating + v: + value: v + lastSpikeTime: + value: lastSpikeTime + notes: "Cell: [Cell(notes=None, id='testcell', parameters={'i_offset':\ + \ 0.0, 'tau_refrac': 5}, neuroml2_source_file=None, lems_source_file=None,\ + \ neuroml2_cell=None, pynn_cell='IF_curr_alpha', arbor_cell=None,\ + \ bindsnet_node=None)] is defined in None and in Lems is:\ + \ Component, id: testcell, type: IF_curr_alpha,\n parameters:\ + \ {'cm': '1.', 'i_offset': 0.0, 'tau_syn_E': '0.5', 'tau_syn_I':\ + \ '0.5', 'v_init': '-65.', 'tau_m': '20.', 'tau_refrac': 5,\ + \ 'v_reset': '-65.', 'v_rest': '-65.', 'v_thresh': '-50.'}\n\ + \ parent: None\n" + InputList_stim: + parameters: + delay: + value: + - 0.2 + duration: + value: + - 0.6 + amplitude: + value: + - 9.9e-10 + weight: + value: + - 0.4926525560828922 + - 0.09153037575095012 + - 0.7719212487329726 + - 0.37271884720664766 + i: + conditions: + condition_0: + test: t < delay + value: '0' + condition_1: + test: t >= delay and t < duration + delay + value: weight * amplitude + condition_2: + test: t >= duration + delay + value: '0' + t: + default_initial_value: 0 + time_derivative: '1' + input_ports: + spike_input: + shape: + - 1 + reduce: add + output_ports: + i: + value: i + notes: "Cell: [InputSource(notes=None, id='i_clamp', parameters={'amplitude':\ + \ 'input_amp', 'start': 200.0, 'stop': 800.0}, neuroml2_source_file=None,\ + \ neuroml2_input=None, lems_source_file=None, pynn_input='DCSource')]\ + \ is defined in None and in Lems is: Component, id: i_clamp,\ + \ type: pulseGenerator,\n parameters: {'delay': '200.0ms',\ + \ 'duration': '600.0ms', 'amplitude': '0.99nA'}\n parent:\ + \ None\n" + edges: + Edge InputList_stim to pop0: + name: Edge InputList_stim to pop0 + sender_port: i + receiver_port: synapses_i + sender: InputList_stim + receiver: pop0 diff --git a/examples/NeuroML/PyNN/InputWeights.net.nml b/examples/NeuroML/PyNN/InputWeights.net.nml new file mode 100644 index 00000000..14915e7e --- /dev/null +++ b/examples/NeuroML/PyNN/InputWeights.net.nml @@ -0,0 +1,38 @@ + + Generated by NeuroMLlite v0.5.5 + Generated network: InputWeights + Generation seed: 1234 + NeuroMLlite parameters: + input_amp = 0.99 + + + + + Example: InputWeights + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/examples/NeuroML/PyNN/Net1.mdf.png b/examples/NeuroML/PyNN/Net1.mdf.png new file mode 100644 index 0000000000000000000000000000000000000000..4854e99d3e9106098390402457eec2375c6ffbf9 GIT binary patch literal 559674 zcmce;1z47Av@MFDbSff^ih?xKjiR8E3KAkAAl==ef+!&Z(j_7y-QC?G(%ndxbe;LZ zTIcR__u2Q}XW!@Ee=XJ`{`kH(<{Wd3G2f3*Wgp>TlVhWxpx`}u{7@bRk$=9HCk3ORTt|8G@cwg$=;cv+hcCJnryIN9?J+-#iP7hw 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z^-t}-L0D*^wl^w4(qEO372=}>=YW1;zaGBe*gv$uS@lCd((m-Eg>t=OY-41002(oY z-9v{+H;WX2|N3iWv6P}U3Cp0g?x(}$Yqm%VnEkC5ov1AkHAv^N1lEIvJ*?mCzhCi{ zIzO6gZQd2+JZjjUmu$YBpA>IdZIobn6|}y|j@bALCE+a&viJ}UvuZcCOeIq%pT;A}nOQItb?|sp<6a8RBr6{{(`&xe_y1^t)6Zx8UtOiBmv!G>S7)i3B7c){^8f8c+iNae9lHp z2-ohrpzf=@?!x>3C_T9C_P-zMw1P~ex6)yL8;2k|x-{*?GMM@|UgLY_HvN?E-#-$8 z*Cw)b@r)46#Rp8+PCeNd64jW=xFe2+|MdvhI{^lvmC-RA>_rz(hI4g!UkE-bzP9(- zO$rr#SvF2FfiATi`VvbaPyT!nQ!H>a_SX`BibV3ub$Z6x2i3SHG7XCU>9-RJ58Coi zWROYqZ1cbS@4)Lz+)<2}xjVyUQM)D7_IcMyb(wa3WjgLjmc5)>DGVe3Q*@l`dS3N+ zVOt@%S8r5lm^wswMH4k@BBbYFMH6uB#Sze7e`ztz3Zl=+_X|tZh5u#XFP^5Mk>uR& g1S|j7v#>2m0<|@#ah(+;KoSHP^nsQtM%gm#KRxZnlmGw# literal 0 HcmV?d00001 diff --git a/examples/NeuroML/PyNN/Net1.mdf.yaml b/examples/NeuroML/PyNN/Net1.mdf.yaml new file mode 100644 index 00000000..f99d318f --- /dev/null +++ b/examples/NeuroML/PyNN/Net1.mdf.yaml @@ -0,0 +1,461 @@ +Net1: + format: ModECI MDF v0.4 + graphs: + Net1: + notes: 'Example: Net1' + nodes: + pop0: + metadata: + color: 1 0 0 + radius: 20 + region: region1 + parameters: + cm: + value: + - 1.0 + - 1.0 + i_offset: + value: + - 0.0 + - 0.0 + tau_syn_E: + value: + - 20.0 + - 20.0 + tau_syn_I: + value: + - 0.5 + - 0.5 + v_init: + value: + - -65.0 + - -65.0 + tau_m: + value: + - 20.0 + - 20.0 + tau_refrac: + value: + - 5.0 + - 5.0 + v_reset: + value: + - -65.0 + - -65.0 + v_rest: + value: + - -65.0 + - -65.0 + v_thresh: + value: + - -50.0 + - -50.0 + MSEC: + value: + - 0.001 + - 0.001 + MVOLT: + value: + - 0.001 + - 0.001 + NFARAD: + value: + - 1.0e-09 + - 1.0e-09 + spike: + default_initial_value: + - 0 + - 0 + conditions: + condition_spike_on: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: 1 + condition_spike_off: + test: spike > 0 + value: 0 + v: + time_derivative: REGIME_integrating * ((MVOLT * ((i_offset/cm) + + ((v_rest - (v/MVOLT)) / tau_m))/MSEC) + (iSyn / + (cm * NFARAD))) + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: v_reset * MVOLT + default_initial_value: v_init * MVOLT + lastSpikeTime: + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: t + ACTIVE_REGIME: + value: + - 1 + - 1 + INACTIVE_REGIME: + value: + - 0 + - 0 + REGIME_refractory: + value: REGIME_refractory + default_initial_value: INACTIVE_REGIME + conditions: + regime_exit_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: INACTIVE_REGIME + regime_entry_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: ACTIVE_REGIME + t: + default_initial_value: 0 + time_derivative: '1' + REGIME_integrating: + conditions: + regime_entry_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: ACTIVE_REGIME + regime_exit_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: INACTIVE_REGIME + value: REGIME_integrating + default_initial_value: ACTIVE_REGIME + iSyn: + value: synapses_i + input_ports: + spike_in_E: + shape: + - 2 + reduce: add + spike_in_I: + shape: + - 2 + reduce: add + synapses_i: {} + output_ports: + spike: + value: spike + REGIME_refractory: + value: REGIME_refractory + REGIME_integrating: + value: REGIME_integrating + v: + value: v + lastSpikeTime: + value: lastSpikeTime + notes: "Cell: [Cell(notes=None, id='testcell', parameters={'i_offset':\ + \ 0.0, 'tau_refrac': 5}, neuroml2_source_file=None, lems_source_file=None,\ + \ neuroml2_cell=None, pynn_cell='IF_curr_alpha', arbor_cell=None,\ + \ bindsnet_node=None)] is defined in None and in Lems is:\ + \ Component, id: testcell, type: IF_curr_alpha,\n parameters:\ + \ {'cm': '1.', 'i_offset': 0.0, 'tau_syn_E': '20.', 'tau_syn_I':\ + \ '0.5', 'v_init': '-65.', 'tau_m': '20.', 'tau_refrac': 5,\ + \ 'v_reset': '-65.', 'v_rest': '-65.', 'v_thresh': '-50.'}\n\ + \ parent: None\n" + pop1: + metadata: + color: 0 1 0 + radius: 20 + region: region1 + parameters: + cm: + value: + - 1.0 + - 1.0 + - 1.0 + i_offset: + value: + - 0.0 + - 0.0 + - 0.0 + tau_syn_E: + value: + - 20.0 + - 20.0 + - 20.0 + tau_syn_I: + value: + - 0.5 + - 0.5 + - 0.5 + v_init: + value: + - -65.0 + - -65.0 + - -65.0 + tau_m: + value: + - 20.0 + - 20.0 + - 20.0 + tau_refrac: + value: + - 5.0 + - 5.0 + - 5.0 + v_reset: + value: + - -65.0 + - -65.0 + - -65.0 + v_rest: + value: + - -65.0 + - -65.0 + - -65.0 + v_thresh: + value: + - -50.0 + - -50.0 + - -50.0 + MSEC: + value: + - 0.001 + - 0.001 + - 0.001 + MVOLT: + value: + - 0.001 + - 0.001 + - 0.001 + NFARAD: + value: + - 1.0e-09 + - 1.0e-09 + - 1.0e-09 + spike: + default_initial_value: + - 0 + - 0 + - 0 + conditions: + condition_spike_on: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: 1 + condition_spike_off: + test: spike > 0 + value: 0 + v: + time_derivative: REGIME_integrating * ((MVOLT * ((i_offset/cm) + + ((v_rest - (v/MVOLT)) / tau_m))/MSEC) + (iSyn / + (cm * NFARAD))) + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: v_reset * MVOLT + default_initial_value: v_init * MVOLT + lastSpikeTime: + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: t + ACTIVE_REGIME: + value: + - 1 + - 1 + - 1 + INACTIVE_REGIME: + value: + - 0 + - 0 + - 0 + REGIME_refractory: + value: REGIME_refractory + default_initial_value: INACTIVE_REGIME + conditions: + regime_exit_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: INACTIVE_REGIME + regime_entry_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: ACTIVE_REGIME + t: + default_initial_value: 0 + time_derivative: '1' + REGIME_integrating: + conditions: + regime_entry_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: ACTIVE_REGIME + regime_exit_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: INACTIVE_REGIME + value: REGIME_integrating + default_initial_value: ACTIVE_REGIME + iSyn: + value: synapses_i + input_ports: + spike_in_E: + shape: + - 3 + reduce: add + spike_in_I: + shape: + - 3 + reduce: add + synapses_i: {} + output_ports: + spike: + value: spike + REGIME_refractory: + value: REGIME_refractory + REGIME_integrating: + value: REGIME_integrating + v: + value: v + lastSpikeTime: + value: lastSpikeTime + notes: "Cell: [Cell(notes=None, id='testcell', parameters={'i_offset':\ + \ 0.0, 'tau_refrac': 5}, neuroml2_source_file=None, lems_source_file=None,\ + \ neuroml2_cell=None, pynn_cell='IF_curr_alpha', arbor_cell=None,\ + \ bindsnet_node=None)] is defined in None and in Lems is:\ + \ Component, id: testcell, type: IF_curr_alpha,\n parameters:\ + \ {'cm': '1.', 'i_offset': 0.0, 'tau_syn_E': '20.', 'tau_syn_I':\ + \ '0.5', 'v_init': '-65.', 'tau_m': '20.', 'tau_refrac': 5,\ + \ 'v_reset': '-65.', 'v_rest': '-65.', 'v_thresh': '-50.'}\n\ + \ parent: None\n" + proj0_ampaSyn: + parameters: + tau_syn: + value: + - 20.0 + - 20.0 + - 20.0 + weight: + function: MatMul + args: + A: spike_input + B: weighted_inputs + MSEC: + value: + - 0.001 + - 0.001 + - 0.001 + MVOLT: + value: + - 0.001 + - 0.001 + - 0.001 + NAMP: + value: + - 1.0e-09 + - 1.0e-09 + - 1.0e-09 + I: + time_derivative: (2.7182818*A - I)/(tau_syn*MSEC) + default_initial_value: + - 0 + - 0 + - 0 + A: + conditions: + condition_spike_input_on_eh: + test: weighted_inputs > 0 + value: A + weight + time_derivative: -A /(tau_syn*MSEC) + default_initial_value: + - 0 + - 0 + - 0 + i: + value: I * NAMP + weighted_inputs: + value: + - - 0.11441296968868764 + - 0.48675154060475834 + - 0.06456228097718608 + - - 0.46589855900830957 + - 0.08892882999066232 + - 0.26958550381944824 + input_ports: + spike_input: + shape: + - 2 + reduce: add + output_ports: + I: + value: I + A: + value: A + i: + value: i + notes: "Cell: [Synapse(notes=None, id='ampaSyn', parameters={'tau_syn':\ + \ 20}, neuroml2_source_file=None, lems_source_file=None, pynn_synapse_type='curr_alpha',\ + \ pynn_receptor_type='excitatory')] is defined in None and\ + \ in Lems is: Component, id: ampaSyn, type: alphaCurrSynapse,\n\ + \ parameters: {'tau_syn': 20}\n parent: None\n" + InputList_stim: + parameters: + delay: + value: + - 0.2 + duration: + value: + - 0.6 + amplitude: + value: + - 9.9e-10 + weight: + value: + - 0.9620727427330369 + - 1.8670309960846934 + i: + conditions: + condition_0: + test: t < delay + value: '0' + condition_1: + test: t >= delay and t < duration + delay + value: weight * amplitude + condition_2: + test: t >= duration + delay + value: '0' + t: + default_initial_value: 0 + time_derivative: '1' + input_ports: + spike_input: + shape: + - 1 + reduce: add + output_ports: + i: + value: i + notes: "Cell: [InputSource(notes=None, id='i_clamp', parameters={'amplitude':\ + \ 'input_amp', 'start': 200.0, 'stop': 800.0}, neuroml2_source_file=None,\ + \ neuroml2_input=None, lems_source_file=None, pynn_input='DCSource')]\ + \ is defined in None and in Lems is: Component, id: i_clamp,\ + \ type: pulseGenerator,\n parameters: {'delay': '200.0ms',\ + \ 'duration': '600.0ms', 'amplitude': '0.99nA'}\n parent:\ + \ None\n" + edges: + pop0_TO_proj0_ampaSyn: + name: pop0_TO_proj0_ampaSyn + sender_port: spike + receiver_port: spike_input + sender: pop0 + receiver: proj0_ampaSyn + proj0_ampaSyn_TO_pop1: + name: proj0_ampaSyn_TO_pop1 + sender_port: i + receiver_port: synapses_i + sender: proj0_ampaSyn + receiver: pop1 + Edge InputList_stim to pop0: + name: Edge InputList_stim to pop0 + sender_port: i + receiver_port: synapses_i + sender: InputList_stim + receiver: pop0 diff --git a/examples/NeuroML/PyNN/Net1.net.nml b/examples/NeuroML/PyNN/Net1.net.nml new file mode 100644 index 00000000..c587ca22 --- /dev/null +++ b/examples/NeuroML/PyNN/Net1.net.nml @@ -0,0 +1,52 @@ + + Generated by NeuroMLlite v0.5.5 + Generated network: Net1 + Generation seed: 1234 + NeuroMLlite parameters: + input_amp = 0.99 + + + + + Example: Net1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/examples/NeuroML/PyNN/OneCell.mdf.png b/examples/NeuroML/PyNN/OneCell.mdf.png new file mode 100644 index 0000000000000000000000000000000000000000..1f5d25a0119c683d3115133c37c5f761b69ac973 GIT binary patch literal 261345 zcmd43bySsW*FL%s0YwB6=@bQ|k(LxiP(d&W>F$}BKZWi&I z5AOH--Y?D{XN)t>IcpDwd%Ib6KleT7Rr7iCSWfyPE(IfDQFR@fpH@JyIxf zaqda}^H^Z^@uvURWBbE1HBvfy>#r;v95ZXx2KA=xue%MHt4yy z-c?rKmSudV7I~fC`tDP~8}!!X(=#(U*3%DrGBxDy+&M!Mkdz^F8Q!pH#nI96cdmiF zFCO`wO!YEL%U|?@grO~UiCu5+Nph%ZXXshci7FM^dGCh4S z53&rTEyj7=COvHQ*RGL^xd?`c9o#4{FSk{TfTe7_XtBF8d^kyaLMJL3r>Nl?Za!Sx zZTkS8%X<3UuUT2|Do&18O@|6YXXBlN$7}q0k^fCkzy0vZ6GB?Iy{k8G-jt0K3Lmtn zC_|Q~h^DRE^Ey3!o^IaDee~#woQsRdYQ>3|T8Uly;(O!*El`t^lBzpS6My70sc)cl 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nodes: + pop0: + metadata: + color: 1 0 0 + radius: 20 + region: region1 + parameters: + cm: + value: + - 1.0 + i_offset: + value: + - 0.0 + tau_syn_E: + value: + - 0.5 + tau_syn_I: + value: + - 0.5 + v_init: + value: + - -65.0 + tau_m: + value: + - 20.0 + tau_refrac: + value: + - 5.0 + v_reset: + value: + - -65.0 + v_rest: + value: + - -65.0 + v_thresh: + value: + - -50.0 + MSEC: + value: + - 0.001 + MVOLT: + value: + - 0.001 + NFARAD: + value: + - 1.0e-09 + spike: + default_initial_value: + - 0 + conditions: + condition_spike_on: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: 1 + condition_spike_off: + test: spike > 0 + value: 0 + v: + time_derivative: REGIME_integrating * ((MVOLT * ((i_offset/cm) + + ((v_rest - (v/MVOLT)) / tau_m))/MSEC) + (iSyn / + (cm * NFARAD))) + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: v_reset * MVOLT + default_initial_value: v_init * MVOLT + lastSpikeTime: + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: t + ACTIVE_REGIME: + value: + - 1 + INACTIVE_REGIME: + value: + - 0 + REGIME_refractory: + value: REGIME_refractory + default_initial_value: INACTIVE_REGIME + conditions: + regime_exit_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: INACTIVE_REGIME + regime_entry_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: ACTIVE_REGIME + t: + default_initial_value: 0 + time_derivative: '1' + REGIME_integrating: + conditions: + regime_entry_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: ACTIVE_REGIME + regime_exit_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: INACTIVE_REGIME + value: REGIME_integrating + default_initial_value: ACTIVE_REGIME + iSyn: + value: synapses_i + input_ports: + spike_in_E: + shape: + - 1 + reduce: add + spike_in_I: + shape: + - 1 + reduce: add + synapses_i: {} + output_ports: + spike: + value: spike + REGIME_refractory: + value: REGIME_refractory + REGIME_integrating: + value: REGIME_integrating + v: + value: v + lastSpikeTime: + value: lastSpikeTime + notes: "Cell: [Cell(notes=None, id='testcell', parameters={'i_offset':\ + \ 0.0, 'tau_refrac': 5}, neuroml2_source_file=None, lems_source_file=None,\ + \ neuroml2_cell=None, pynn_cell='IF_curr_alpha', arbor_cell=None,\ + \ bindsnet_node=None)] is defined in None and in Lems is:\ + \ Component, id: testcell, type: IF_curr_alpha,\n parameters:\ + \ {'cm': '1.', 'i_offset': 0.0, 'tau_syn_E': '0.5', 'tau_syn_I':\ + \ '0.5', 'v_init': '-65.', 'tau_m': '20.', 'tau_refrac': 5,\ + \ 'v_reset': '-65.', 'v_rest': '-65.', 'v_thresh': '-50.'}\n\ + \ parent: None\n" + InputList_stim: + parameters: + delay: + value: + - 0.2 + duration: + value: + - 0.6 + amplitude: + value: + - 9.9e-10 + weight: + value: + - 0.8 + i: + conditions: + condition_0: + test: t < delay + value: '0' + condition_1: + test: t >= delay and t < duration + delay + value: weight * amplitude + condition_2: + test: t >= duration + delay + value: '0' + t: + default_initial_value: 0 + time_derivative: '1' + input_ports: + spike_input: + shape: + - 1 + reduce: add + output_ports: + i: + value: i + notes: "Cell: [InputSource(notes=None, id='i_clamp', parameters={'amplitude':\ + \ 'input_amp', 'start': 200.0, 'stop': 800.0}, neuroml2_source_file=None,\ + \ neuroml2_input=None, lems_source_file=None, pynn_input='DCSource')]\ + \ is defined in None and in Lems is: Component, id: i_clamp,\ + \ type: pulseGenerator,\n parameters: {'delay': '200.0ms',\ + \ 'duration': '600.0ms', 'amplitude': '0.99nA'}\n parent:\ + \ None\n" + edges: + Edge InputList_stim to pop0: + name: Edge InputList_stim to pop0 + sender_port: i + receiver_port: synapses_i + sender: InputList_stim + receiver: pop0 diff 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ModECI MDF v0.4 + graphs: + SimpleNet: + notes: 'Example: SimpleNet' + nodes: + pop0: + metadata: + color: 1 0 0 + radius: 20 + region: region1 + parameters: + cm: + value: + - 1.0 + i_offset: + value: + - 0.0 + tau_syn_E: + value: + - 20.0 + tau_syn_I: + value: + - 0.5 + v_init: + value: + - -65.0 + tau_m: + value: + - 20.0 + tau_refrac: + value: + - 5.0 + v_reset: + value: + - -65.0 + v_rest: + value: + - -65.0 + v_thresh: + value: + - -50.0 + MSEC: + value: + - 0.001 + MVOLT: + value: + - 0.001 + NFARAD: + value: + - 1.0e-09 + spike: + default_initial_value: + - 0 + conditions: + condition_spike_on: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: 1 + condition_spike_off: + test: spike > 0 + value: 0 + v: + time_derivative: REGIME_integrating * ((MVOLT * ((i_offset/cm) + + ((v_rest - (v/MVOLT)) / tau_m))/MSEC) + (iSyn / + (cm * NFARAD))) + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: v_reset * MVOLT + default_initial_value: v_init * MVOLT + lastSpikeTime: + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: t + ACTIVE_REGIME: + value: + - 1 + INACTIVE_REGIME: + value: + - 0 + REGIME_refractory: + value: REGIME_refractory + default_initial_value: INACTIVE_REGIME + conditions: + regime_exit_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: INACTIVE_REGIME + regime_entry_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: ACTIVE_REGIME + t: + default_initial_value: 0 + time_derivative: '1' + REGIME_integrating: + conditions: + regime_entry_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: ACTIVE_REGIME + regime_exit_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: INACTIVE_REGIME + value: REGIME_integrating + default_initial_value: ACTIVE_REGIME + iSyn: + value: synapses_i + input_ports: + spike_in_E: + shape: + - 1 + reduce: add + spike_in_I: + shape: + - 1 + reduce: add + synapses_i: {} + output_ports: + spike: + value: spike + REGIME_refractory: + value: REGIME_refractory + REGIME_integrating: + value: REGIME_integrating + v: + value: v + lastSpikeTime: + value: lastSpikeTime + notes: "Cell: [Cell(notes=None, id='testcell', parameters={'i_offset':\ + \ 0.0, 'tau_refrac': 5}, neuroml2_source_file=None, lems_source_file=None,\ + \ neuroml2_cell=None, pynn_cell='IF_curr_alpha', arbor_cell=None,\ + \ bindsnet_node=None)] is defined in None and in Lems is:\ + \ Component, id: testcell, type: IF_curr_alpha,\n parameters:\ + \ {'cm': '1.', 'i_offset': 0.0, 'tau_syn_E': '20.', 'tau_syn_I':\ + \ '0.5', 'v_init': '-65.', 'tau_m': '20.', 'tau_refrac': 5,\ + \ 'v_reset': '-65.', 'v_rest': '-65.', 'v_thresh': '-50.'}\n\ + \ parent: None\n" + pop1: + metadata: + color: 0 1 0 + radius: 20 + region: region1 + parameters: + cm: + value: + - 1.0 + i_offset: + value: + - 0.0 + tau_syn_E: + value: + - 20.0 + tau_syn_I: + value: + - 0.5 + v_init: + value: + - -65.0 + tau_m: + value: + - 20.0 + tau_refrac: + value: + - 5.0 + v_reset: + value: + - -65.0 + v_rest: + value: + - -65.0 + v_thresh: + value: + - -50.0 + MSEC: + value: + - 0.001 + MVOLT: + value: + - 0.001 + NFARAD: + value: + - 1.0e-09 + spike: + default_initial_value: + - 0 + conditions: + condition_spike_on: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: 1 + condition_spike_off: + test: spike > 0 + value: 0 + v: + time_derivative: REGIME_integrating * ((MVOLT * ((i_offset/cm) + + ((v_rest - (v/MVOLT)) / tau_m))/MSEC) + (iSyn / + (cm * NFARAD))) + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: v_reset * MVOLT + default_initial_value: v_init * MVOLT + lastSpikeTime: + conditions: + entering_regime_refractory: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: t + ACTIVE_REGIME: + value: + - 1 + INACTIVE_REGIME: + value: + - 0 + REGIME_refractory: + value: REGIME_refractory + default_initial_value: INACTIVE_REGIME + conditions: + regime_exit_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: INACTIVE_REGIME + regime_entry_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: ACTIVE_REGIME + t: + default_initial_value: 0 + time_derivative: '1' + REGIME_integrating: + conditions: + regime_entry_condition: + test: (REGIME_refractory == ACTIVE_REGIME) * (t + > lastSpikeTime + (tau_refrac*MSEC)) + value: ACTIVE_REGIME + regime_exit_condition: + test: (REGIME_integrating == ACTIVE_REGIME) * + (v > v_thresh * MVOLT) + value: INACTIVE_REGIME + value: REGIME_integrating + default_initial_value: ACTIVE_REGIME + iSyn: + value: synapses_i + input_ports: + spike_in_E: + shape: + - 1 + reduce: add + spike_in_I: + shape: + - 1 + reduce: add + synapses_i: {} + output_ports: + spike: + value: spike + REGIME_refractory: + value: REGIME_refractory + REGIME_integrating: + value: REGIME_integrating + v: + value: v + lastSpikeTime: + value: lastSpikeTime + notes: "Cell: [Cell(notes=None, id='testcell', parameters={'i_offset':\ + \ 0.0, 'tau_refrac': 5}, neuroml2_source_file=None, lems_source_file=None,\ + \ neuroml2_cell=None, pynn_cell='IF_curr_alpha', arbor_cell=None,\ + \ bindsnet_node=None)] is defined in None and in Lems is:\ + \ Component, id: testcell, type: IF_curr_alpha,\n parameters:\ + \ {'cm': '1.', 'i_offset': 0.0, 'tau_syn_E': '20.', 'tau_syn_I':\ + \ '0.5', 'v_init': '-65.', 'tau_m': '20.', 'tau_refrac': 5,\ + \ 'v_reset': '-65.', 'v_rest': '-65.', 'v_thresh': '-50.'}\n\ + \ parent: None\n" + proj0_ampaSyn: + parameters: + tau_syn: + value: + - 20.0 + weight: + function: MatMul + args: + A: spike_input + B: weighted_inputs + MSEC: + value: + - 0.001 + MVOLT: + value: + - 0.001 + NAMP: + value: + - 1.0e-09 + I: + time_derivative: (2.7182818*A - I)/(tau_syn*MSEC) + default_initial_value: + - 0 + A: + conditions: + condition_spike_input_on_eh: + test: weighted_inputs > 0 + value: A + weight + time_derivative: -A /(tau_syn*MSEC) + default_initial_value: + - 0 + i: + value: I * NAMP + weighted_inputs: + value: + - - 0.3 + input_ports: + spike_input: + shape: + - 1 + reduce: add + output_ports: + I: + value: I + A: + value: A + i: + value: i + notes: "Cell: [Synapse(notes=None, id='ampaSyn', parameters={'tau_syn':\ + \ 20}, neuroml2_source_file=None, lems_source_file=None, pynn_synapse_type='curr_alpha',\ + \ pynn_receptor_type='excitatory')] is defined in None and\ + \ in Lems is: Component, id: ampaSyn, type: alphaCurrSynapse,\n\ + \ parameters: {'tau_syn': 20}\n parent: None\n" + InputList_stim: + parameters: + delay: + value: + - 0.2 + duration: + value: + - 0.6 + amplitude: + value: + - 9.9e-10 + weight: + value: + - 1 + i: + conditions: + condition_0: + test: t < delay + value: '0' + condition_1: + test: t >= delay and t < duration + delay + value: weight * amplitude + condition_2: + test: t >= duration + delay + value: '0' + t: + default_initial_value: 0 + time_derivative: '1' + input_ports: + spike_input: + shape: + - 1 + reduce: add + output_ports: + i: + value: i + notes: "Cell: [InputSource(notes=None, id='i_clamp', parameters={'amplitude':\ + \ 'input_amp', 'start': 200.0, 'stop': 800.0}, neuroml2_source_file=None,\ + \ neuroml2_input=None, lems_source_file=None, pynn_input='DCSource')]\ + \ is defined in None and in Lems is: Component, id: i_clamp,\ + \ type: pulseGenerator,\n parameters: {'delay': '200.0ms',\ + \ 'duration': '600.0ms', 'amplitude': '0.99nA'}\n parent:\ + \ None\n" + edges: + pop0_TO_proj0_ampaSyn: + name: pop0_TO_proj0_ampaSyn + sender_port: spike + receiver_port: spike_input + sender: pop0 + receiver: proj0_ampaSyn + proj0_ampaSyn_TO_pop1: + name: proj0_ampaSyn_TO_pop1 + sender_port: i + receiver_port: synapses_i + sender: proj0_ampaSyn + receiver: pop1 + Edge InputList_stim to pop0: + name: Edge InputList_stim to pop0 + sender_port: i + receiver_port: synapses_i + sender: InputList_stim + receiver: pop0 diff --git a/examples/NeuroML/PyNN/SimpleNet.net.nml b/examples/NeuroML/PyNN/SimpleNet.net.nml new file mode 100644 index 00000000..a2c2050a --- /dev/null +++ b/examples/NeuroML/PyNN/SimpleNet.net.nml @@ -0,0 +1,37 @@ + + Generated by NeuroMLlite v0.5.5 + Generated network: SimpleNet + Generation seed: 1234 + NeuroMLlite parameters: + input_amp = 0.99 + + + + + Example: SimpleNet + + + + + + + + + + + + + + + + + + + + + + + + + + From 372050c5af597973ce65854f3256bed6326fee49 Mon Sep 17 00:00:00 2001 From: Padraig Gleeson Date: Wed, 6 Sep 2023 14:56:46 +0100 Subject: [PATCH 16/18] Use latest nml libraries; Regenerated multiple nml files --- examples/NeuroML/ABCD.net.nml | 2 +- examples/NeuroML/FN.json | 2 +- examples/NeuroML/FN.net.nml | 2 +- examples/NeuroML/IzhikevichTest.net.nml | 2 +- examples/NeuroML/IzhikevichTest.nmllite.yaml | 2 +- examples/NeuroML/LEMS_SimABCD.xml | 2 +- examples/NeuroML/LEMS_SimFN.xml | 2 +- examples/NeuroML/LEMS_SimIzhikevichTest.xml | 2 +- examples/NeuroML/PyNN/HH.net.nml | 2 +- examples/NeuroML/PyNN/InputWeights.net.nml | 2 +- examples/NeuroML/PyNN/Net1.net.nml | 2 +- examples/NeuroML/PyNN/OneCell.net.nml | 2 +- examples/NeuroML/PyNN/SimpleNet.net.nml | 2 +- examples/NeuroML/SimABCD.json | 2 +- examples/NeuroML/SimFN.json | 2 +- examples/NeuroML/SimIzhikevichTest.yaml | 2 +- setup.cfg | 5 +++-- 17 files changed, 19 insertions(+), 18 deletions(-) diff --git a/examples/NeuroML/ABCD.net.nml b/examples/NeuroML/ABCD.net.nml index fe25999e..d890da07 100644 --- a/examples/NeuroML/ABCD.net.nml +++ b/examples/NeuroML/ABCD.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.5 + Generated by NeuroMLlite v0.5.6 Generated network: ABCD Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/FN.json b/examples/NeuroML/FN.json index 8e6a436c..917b883f 100644 --- a/examples/NeuroML/FN.json +++ b/examples/NeuroML/FN.json @@ -1,6 +1,6 @@ { "FN": { - "version": "NeuroMLlite v0.5.5", + "version": "NeuroMLlite v0.5.6", "notes": "FitzHugh Nagumo cell model - originally specified in NeuroML/LEMS", "parameters": { "initial_w": 0.0, diff --git a/examples/NeuroML/FN.net.nml b/examples/NeuroML/FN.net.nml index bacd03af..3c66885c 100644 --- a/examples/NeuroML/FN.net.nml +++ b/examples/NeuroML/FN.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.5 + Generated by NeuroMLlite v0.5.6 Generated network: FN Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/IzhikevichTest.net.nml b/examples/NeuroML/IzhikevichTest.net.nml index 8eb84423..a1a1511e 100644 --- a/examples/NeuroML/IzhikevichTest.net.nml +++ b/examples/NeuroML/IzhikevichTest.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.5 + Generated by NeuroMLlite v0.5.6 Generated network: IzhikevichTest Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/IzhikevichTest.nmllite.yaml b/examples/NeuroML/IzhikevichTest.nmllite.yaml index 9865e878..eee0ac45 100644 --- a/examples/NeuroML/IzhikevichTest.nmllite.yaml +++ b/examples/NeuroML/IzhikevichTest.nmllite.yaml @@ -1,5 +1,5 @@ IzhikevichTest: - version: NeuroMLlite v0.5.5 + version: NeuroMLlite v0.5.6 notes: Example Izhikevich parameters: N: 1 diff --git a/examples/NeuroML/LEMS_SimABCD.xml b/examples/NeuroML/LEMS_SimABCD.xml index b4fd77ef..90571f19 100644 --- a/examples/NeuroML/LEMS_SimABCD.xml +++ b/examples/NeuroML/LEMS_SimABCD.xml @@ -2,7 +2,7 @@ diff --git a/examples/NeuroML/LEMS_SimFN.xml b/examples/NeuroML/LEMS_SimFN.xml index e3ae5764..5463b195 100644 --- a/examples/NeuroML/LEMS_SimFN.xml +++ b/examples/NeuroML/LEMS_SimFN.xml @@ -2,7 +2,7 @@ diff --git a/examples/NeuroML/LEMS_SimIzhikevichTest.xml b/examples/NeuroML/LEMS_SimIzhikevichTest.xml index 1bf4ac59..80e90760 100644 --- a/examples/NeuroML/LEMS_SimIzhikevichTest.xml +++ b/examples/NeuroML/LEMS_SimIzhikevichTest.xml @@ -2,7 +2,7 @@ diff --git a/examples/NeuroML/PyNN/HH.net.nml b/examples/NeuroML/PyNN/HH.net.nml index 5f972ccd..0f348752 100644 --- a/examples/NeuroML/PyNN/HH.net.nml +++ b/examples/NeuroML/PyNN/HH.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.5 + Generated by NeuroMLlite v0.5.6 Generated network: HH Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/PyNN/InputWeights.net.nml b/examples/NeuroML/PyNN/InputWeights.net.nml index 14915e7e..b344f272 100644 --- a/examples/NeuroML/PyNN/InputWeights.net.nml +++ b/examples/NeuroML/PyNN/InputWeights.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.5 + Generated by NeuroMLlite v0.5.6 Generated network: InputWeights Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/PyNN/Net1.net.nml b/examples/NeuroML/PyNN/Net1.net.nml index c587ca22..edf1e3c5 100644 --- a/examples/NeuroML/PyNN/Net1.net.nml +++ b/examples/NeuroML/PyNN/Net1.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.5 + Generated by NeuroMLlite v0.5.6 Generated network: Net1 Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/PyNN/OneCell.net.nml b/examples/NeuroML/PyNN/OneCell.net.nml index 4cf5d2b9..e5a3a8d7 100644 --- a/examples/NeuroML/PyNN/OneCell.net.nml +++ b/examples/NeuroML/PyNN/OneCell.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.5 + Generated by NeuroMLlite v0.5.6 Generated network: OneCell Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/PyNN/SimpleNet.net.nml b/examples/NeuroML/PyNN/SimpleNet.net.nml index a2c2050a..82f245fd 100644 --- a/examples/NeuroML/PyNN/SimpleNet.net.nml +++ b/examples/NeuroML/PyNN/SimpleNet.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.5 + Generated by NeuroMLlite v0.5.6 Generated network: SimpleNet Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/SimABCD.json b/examples/NeuroML/SimABCD.json index 35bf02eb..047cd89c 100644 --- a/examples/NeuroML/SimABCD.json +++ b/examples/NeuroML/SimABCD.json @@ -1,6 +1,6 @@ { "SimABCD": { - "version": "NeuroMLlite v0.5.5", + "version": "NeuroMLlite v0.5.6", "network": "ABCD.json", "duration": 5000.0, "dt": 100.0, diff --git a/examples/NeuroML/SimFN.json b/examples/NeuroML/SimFN.json index cc8efc22..726f0c9f 100644 --- a/examples/NeuroML/SimFN.json +++ b/examples/NeuroML/SimFN.json @@ -1,6 +1,6 @@ { "SimFN": { - "version": "NeuroMLlite v0.5.5", + "version": "NeuroMLlite v0.5.6", "network": "FN.json", "duration": 100.0, "dt": 0.05, diff --git a/examples/NeuroML/SimIzhikevichTest.yaml b/examples/NeuroML/SimIzhikevichTest.yaml index aa52243c..2a693adc 100644 --- a/examples/NeuroML/SimIzhikevichTest.yaml +++ b/examples/NeuroML/SimIzhikevichTest.yaml @@ -1,5 +1,5 @@ SimIzhikevichTest: - version: NeuroMLlite v0.5.5 + version: NeuroMLlite v0.5.6 network: IzhikevichTest.nmllite.yaml duration: 700.0 dt: 0.025 diff --git a/setup.cfg b/setup.cfg index a2e591ce..f07b21fe 100644 --- a/setup.cfg +++ b/setup.cfg @@ -59,8 +59,9 @@ psyneulink = psyneulink neuroml = - pyNeuroML>=0.5.20 - neuromllite>=0.5.2 + pyNeuroML>=1.0.10 + neuromllite>=0.5.6 + PyNN==0.10.1 tensorflow = From c0ffe8d153598b8e552bed1448fb1f0a6c2b49fa Mon Sep 17 00:00:00 2001 From: pgleeson Date: Fri, 15 Sep 2023 11:23:27 +0100 Subject: [PATCH 17/18] Regenerated with latest nmllite --- examples/NeuroML/ABCD.json | 2 +- examples/NeuroML/ABCD.net.nml | 2 +- examples/NeuroML/FN.json | 2 +- examples/NeuroML/FN.net.nml | 2 +- examples/NeuroML/IzhikevichTest.net.nml | 2 +- examples/NeuroML/IzhikevichTest.nmllite.yaml | 4 ++-- examples/NeuroML/PyNN/HH.net.nml | 2 +- examples/NeuroML/PyNN/InputWeights.net.nml | 2 +- examples/NeuroML/PyNN/Net1.net.nml | 2 +- examples/NeuroML/PyNN/OneCell.net.nml | 2 +- examples/NeuroML/PyNN/SimpleNet.net.nml | 2 +- examples/NeuroML/SimABCD.json | 2 +- examples/NeuroML/SimFN.json | 2 +- examples/NeuroML/SimIzhikevichTest.yaml | 2 +- 14 files changed, 15 insertions(+), 15 deletions(-) diff --git a/examples/NeuroML/ABCD.json b/examples/NeuroML/ABCD.json index ba35670b..e9b6c3e1 100644 --- a/examples/NeuroML/ABCD.json +++ b/examples/NeuroML/ABCD.json @@ -1,6 +1,6 @@ { "ABCD": { - "version": "NeuroMLlite v0.5.5", + "version": "NeuroMLlite v0.5.7", "notes": "Example of a simplified network", "parameters": { "A_initial": 0.1, diff --git a/examples/NeuroML/ABCD.net.nml b/examples/NeuroML/ABCD.net.nml index d890da07..bfe6acb3 100644 --- a/examples/NeuroML/ABCD.net.nml +++ b/examples/NeuroML/ABCD.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.6 + Generated by NeuroMLlite v0.5.7 Generated network: ABCD Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/FN.json b/examples/NeuroML/FN.json index 917b883f..c1235a5e 100644 --- a/examples/NeuroML/FN.json +++ b/examples/NeuroML/FN.json @@ -1,6 +1,6 @@ { "FN": { - "version": "NeuroMLlite v0.5.6", + "version": "NeuroMLlite v0.5.7", "notes": "FitzHugh Nagumo cell model - originally specified in NeuroML/LEMS", "parameters": { "initial_w": 0.0, diff --git a/examples/NeuroML/FN.net.nml b/examples/NeuroML/FN.net.nml index 3c66885c..c3649de6 100644 --- a/examples/NeuroML/FN.net.nml +++ b/examples/NeuroML/FN.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.6 + Generated by NeuroMLlite v0.5.7 Generated network: FN Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/IzhikevichTest.net.nml b/examples/NeuroML/IzhikevichTest.net.nml index a1a1511e..65b7372f 100644 --- a/examples/NeuroML/IzhikevichTest.net.nml +++ b/examples/NeuroML/IzhikevichTest.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.6 + Generated by NeuroMLlite v0.5.7 Generated network: IzhikevichTest Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/IzhikevichTest.nmllite.yaml b/examples/NeuroML/IzhikevichTest.nmllite.yaml index eee0ac45..79fe02a8 100644 --- a/examples/NeuroML/IzhikevichTest.nmllite.yaml +++ b/examples/NeuroML/IzhikevichTest.nmllite.yaml @@ -1,5 +1,5 @@ IzhikevichTest: - version: NeuroMLlite v0.5.6 + version: NeuroMLlite v0.5.7 notes: Example Izhikevich parameters: N: 1 @@ -47,5 +47,5 @@ IzhikevichTest: stim: input_source: iclamp_0 population: izhPop - percentage: 100.0 + percentage: 100 weight: 1 diff --git a/examples/NeuroML/PyNN/HH.net.nml b/examples/NeuroML/PyNN/HH.net.nml index 0f348752..46da98e6 100644 --- a/examples/NeuroML/PyNN/HH.net.nml +++ b/examples/NeuroML/PyNN/HH.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.6 + Generated by NeuroMLlite v0.5.7 Generated network: HH Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/PyNN/InputWeights.net.nml b/examples/NeuroML/PyNN/InputWeights.net.nml index b344f272..52581ad5 100644 --- a/examples/NeuroML/PyNN/InputWeights.net.nml +++ b/examples/NeuroML/PyNN/InputWeights.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.6 + Generated by NeuroMLlite v0.5.7 Generated network: InputWeights Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/PyNN/Net1.net.nml b/examples/NeuroML/PyNN/Net1.net.nml index edf1e3c5..cd0236f1 100644 --- a/examples/NeuroML/PyNN/Net1.net.nml +++ b/examples/NeuroML/PyNN/Net1.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.6 + Generated by NeuroMLlite v0.5.7 Generated network: Net1 Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/PyNN/OneCell.net.nml b/examples/NeuroML/PyNN/OneCell.net.nml index e5a3a8d7..6d5b4c08 100644 --- a/examples/NeuroML/PyNN/OneCell.net.nml +++ b/examples/NeuroML/PyNN/OneCell.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.6 + Generated by NeuroMLlite v0.5.7 Generated network: OneCell Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/PyNN/SimpleNet.net.nml b/examples/NeuroML/PyNN/SimpleNet.net.nml index 82f245fd..fd1d6097 100644 --- a/examples/NeuroML/PyNN/SimpleNet.net.nml +++ b/examples/NeuroML/PyNN/SimpleNet.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.6 + Generated by NeuroMLlite v0.5.7 Generated network: SimpleNet Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/SimABCD.json b/examples/NeuroML/SimABCD.json index 047cd89c..c4404a5a 100644 --- a/examples/NeuroML/SimABCD.json +++ b/examples/NeuroML/SimABCD.json @@ -1,6 +1,6 @@ { "SimABCD": { - "version": "NeuroMLlite v0.5.6", + "version": "NeuroMLlite v0.5.7", "network": "ABCD.json", "duration": 5000.0, "dt": 100.0, diff --git a/examples/NeuroML/SimFN.json b/examples/NeuroML/SimFN.json index 726f0c9f..ba82f883 100644 --- a/examples/NeuroML/SimFN.json +++ b/examples/NeuroML/SimFN.json @@ -1,6 +1,6 @@ { "SimFN": { - "version": "NeuroMLlite v0.5.6", + "version": "NeuroMLlite v0.5.7", "network": "FN.json", "duration": 100.0, "dt": 0.05, diff --git a/examples/NeuroML/SimIzhikevichTest.yaml b/examples/NeuroML/SimIzhikevichTest.yaml index 2a693adc..6fe61ef2 100644 --- a/examples/NeuroML/SimIzhikevichTest.yaml +++ b/examples/NeuroML/SimIzhikevichTest.yaml @@ -1,5 +1,5 @@ SimIzhikevichTest: - version: NeuroMLlite v0.5.6 + version: NeuroMLlite v0.5.7 network: IzhikevichTest.nmllite.yaml duration: 700.0 dt: 0.025 From a397a8194754af222848c9feeeec16bdb6f2e446 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Fri, 15 Sep 2023 11:23:53 +0100 Subject: [PATCH 18/18] Add clickable image to quick start page --- docs/sphinx/source/api/QuickStart.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/docs/sphinx/source/api/QuickStart.md b/docs/sphinx/source/api/QuickStart.md index 42f582b8..119222e5 100644 --- a/docs/sphinx/source/api/QuickStart.md +++ b/docs/sphinx/source/api/QuickStart.md @@ -2,6 +2,12 @@ This is a quick guide to the various parts of the ModECI Model Description Format (MDF) specification, API and examples. + + + + + + ## Specification of MDF language The specification for the language, including the core types Graph, Node, Edge etc. is available here.

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zlhDP;fBri4#%e^inKp0k{CRI|AD~Yc`E+lc9*8V53zPhR+6uDU^$ diff --git a/examples/NeuroML/LEMS_SimFN.xml b/examples/NeuroML/LEMS_SimFN.xml index b8d74ec2..e3ae5764 100644 --- a/examples/NeuroML/LEMS_SimFN.xml +++ b/examples/NeuroML/LEMS_SimFN.xml @@ -2,7 +2,7 @@ diff --git a/examples/NeuroML/LEMS_SimIzhikevichTest.xml b/examples/NeuroML/LEMS_SimIzhikevichTest.xml index 0494c1b0..1bf4ac59 100644 --- a/examples/NeuroML/LEMS_SimIzhikevichTest.xml +++ b/examples/NeuroML/LEMS_SimIzhikevichTest.xml @@ -2,7 +2,7 @@ diff --git a/examples/NeuroML/SimABCD.json b/examples/NeuroML/SimABCD.json index c1764def..35bf02eb 100644 --- a/examples/NeuroML/SimABCD.json +++ b/examples/NeuroML/SimABCD.json @@ -1,6 +1,6 @@ { "SimABCD": { - "version": "NeuroMLlite v0.5.4", + "version": "NeuroMLlite v0.5.5", "network": "ABCD.json", "duration": 5000.0, "dt": 100.0, diff --git a/examples/NeuroML/SimFN.json b/examples/NeuroML/SimFN.json index a35953b6..cc8efc22 100644 --- a/examples/NeuroML/SimFN.json +++ b/examples/NeuroML/SimFN.json @@ -1,6 +1,6 @@ { "SimFN": { - "version": "NeuroMLlite v0.5.4", + "version": "NeuroMLlite v0.5.5", "network": "FN.json", "duration": 100.0, "dt": 0.05, diff --git a/examples/NeuroML/SimIzhikevichTest.yaml b/examples/NeuroML/SimIzhikevichTest.yaml index a5f01884..aa52243c 100644 --- a/examples/NeuroML/SimIzhikevichTest.yaml +++ b/examples/NeuroML/SimIzhikevichTest.yaml @@ -1,5 +1,5 @@ SimIzhikevichTest: - version: NeuroMLlite v0.5.4 + version: NeuroMLlite v0.5.5 network: IzhikevichTest.nmllite.yaml duration: 700.0 dt: 0.025 From c1b2fd2315eddff2dac7e71b04d33733687e3b41 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Fri, 19 May 2023 14:21:49 +0100 Subject: [PATCH 03/18] Fix issue with onnx trying to add int to float --- examples/NeuroML/FN__lems.xml | 2 +- examples/NeuroML/LEMS_SimFN.png | Bin 118725 -> 118733 bytes examples/ONNX/ab.json | 6 ++++-- examples/ONNX/ab.yaml | 2 ++ examples/ONNX/abc.json | 15 ++++++++++----- examples/ONNX/abc.yaml | 5 +++++ examples/ONNX/abcd.json | 21 ++++++++++++++------- examples/ONNX/abcd.yaml | 7 +++++++ examples/ONNX/simple_ab.py | 8 ++++---- src/modeci_mdf/execution_engine.py | 5 ++++- src/modeci_mdf/interfaces/onnx/importer.py | 2 +- tests/interfaces/onnx/test_importer.py | 7 +++---- 12 files changed, 55 insertions(+), 25 deletions(-) diff --git a/examples/NeuroML/FN__lems.xml b/examples/NeuroML/FN__lems.xml index 2caa2f49..96821ea0 100644 --- a/examples/NeuroML/FN__lems.xml +++ b/examples/NeuroML/FN__lems.xml @@ -54,5 +54,5 @@ - + diff --git a/examples/NeuroML/LEMS_SimFN.png b/examples/NeuroML/LEMS_SimFN.png index 97d9de1f1e548e79c90dc2c049189f34fea50373..2b558ab550ffd455b2b620206a79dccb80857866 100644 GIT binary patch literal 118733 zcmd43by!vH_cwS%L_h?j1e8*`q!Ew?rMtUZkd{WJRJyzKP|^(wDBay6&7q{5xi^02 zo!|S%Tr+dcT<>r8^LPpS>~qJu*ZQo_itT3wxi=5diP2#&*h5JPF(nub`4bFwFA5a} z+>wVLPlCTtjHKU)!ET`c(wp+4U@&r+q?oYE`{b=TH&2zZtDC9uN__+oeNJrbTWp_9@;qNJec 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zJRisWR`-atPwdA%ACx(~MD9OP2|s?`fr%xC?lW({=i>mK7Vv@2)oLlBsccEyC!B!=rYvQ8mef+N!38*Hf!NI{+FI{U_WiJSa8 z%X!`x4+&Q>C4;LlyStV7w%dbso#!m-23oWhD|#$aVmYt*=hGCs&A-U_@cQ5U$iE{F teE$Dt#Q(h5=bbS%bv(@9r_}JApIe<%f2aAeR|NAdnxg9AMENr}{|D?zoZ$cf diff --git a/examples/ONNX/ab.json b/examples/ONNX/ab.json index 260b05f5..b1a59fc1 100644 --- a/examples/ONNX/ab.json +++ b/examples/ONNX/ab.json @@ -11,7 +11,8 @@ "shape": [ 2, 3 - ] + ], + "type": "float" } }, "parameters": { @@ -38,7 +39,8 @@ "shape": [ 2, 3 - ] + ], + "type": "float" } }, "parameters": { diff --git a/examples/ONNX/ab.yaml b/examples/ONNX/ab.yaml index d550284e..f47d8185 100644 --- a/examples/ONNX/ab.yaml +++ b/examples/ONNX/ab.yaml @@ -10,6 +10,7 @@ ONNX Model: shape: - 2 - 3 + type: float parameters: B: value: 1.0 @@ -27,6 +28,7 @@ ONNX Model: shape: - 2 - 3 + type: float parameters: B: value: 5.0 diff --git a/examples/ONNX/abc.json b/examples/ONNX/abc.json index 44810622..1c047d71 100644 --- a/examples/ONNX/abc.json +++ b/examples/ONNX/abc.json @@ -11,7 +11,8 @@ "shape": [ 2, 3 - ] + ], + "type": "float" } }, "parameters": { @@ -37,13 +38,15 @@ "B_loop_count": { "shape": [ 1 - ] + ], + "type": "float" }, "onnx_Loop_3": { "shape": [ 2, 3 - ] + ], + "type": "float" } }, "parameters": { @@ -58,7 +61,8 @@ "shape": [ 2, 3 - ] + ], + "type": "float" } }, "parameters": { @@ -124,7 +128,8 @@ "x_3": { "shape": [ 1 - ] + ], + "type": "float" } }, "parameters": { diff --git a/examples/ONNX/abc.yaml b/examples/ONNX/abc.yaml index 6ea175c9..09e5e0a9 100644 --- a/examples/ONNX/abc.yaml +++ b/examples/ONNX/abc.yaml @@ -10,6 +10,7 @@ ONNX Model: shape: - 2 - 3 + type: float parameters: B: value: 1.0 @@ -26,10 +27,12 @@ ONNX Model: B_loop_count: shape: - 1 + type: float onnx_Loop_3: shape: - 2 - 3 + type: float parameters: body: value: @@ -42,6 +45,7 @@ ONNX Model: shape: - 2 - 3 + type: float parameters: B: value: 10.0 @@ -80,6 +84,7 @@ ONNX Model: x_3: shape: - 1 + type: float parameters: B: value: 100.0 diff --git a/examples/ONNX/abcd.json b/examples/ONNX/abcd.json index e2ffef04..3f4cd28d 100644 --- a/examples/ONNX/abcd.json +++ b/examples/ONNX/abcd.json @@ -11,7 +11,8 @@ "shape": [ 1, 1 - ] + ], + "type": "float" } }, "parameters": { @@ -42,7 +43,8 @@ "shape": [ 1, 1 - ] + ], + "type": "float" } }, "parameters": { @@ -73,7 +75,8 @@ "shape": [ 1, 1 - ] + ], + "type": "float" } }, "parameters": { @@ -104,7 +107,8 @@ "shape": [ 1, 1 - ] + ], + "type": "float" } }, "parameters": { @@ -135,7 +139,8 @@ "shape": [ 1, 1 - ] + ], + "type": "float" } }, "parameters": { @@ -166,7 +171,8 @@ "shape": [ 1, 1 - ] + ], + "type": "float" } }, "parameters": { @@ -197,7 +203,8 @@ "shape": [ 1, 1 - ] + ], + "type": "float" } }, "parameters": { diff --git a/examples/ONNX/abcd.yaml b/examples/ONNX/abcd.yaml index 62547652..ca7fa6bc 100644 --- a/examples/ONNX/abcd.yaml +++ b/examples/ONNX/abcd.yaml @@ -10,6 +10,7 @@ ONNX Model: shape: - 1 - 1 + type: float parameters: A: value: @@ -28,6 +29,7 @@ ONNX Model: shape: - 1 - 1 + type: float parameters: B: value: @@ -46,6 +48,7 @@ ONNX Model: shape: - 1 - 1 + type: float parameters: A: value: @@ -64,6 +67,7 @@ ONNX Model: shape: - 1 - 1 + type: float parameters: B: value: @@ -82,6 +86,7 @@ ONNX Model: shape: - 1 - 1 + type: float parameters: A: value: @@ -100,6 +105,7 @@ ONNX Model: shape: - 1 - 1 + type: float parameters: B: value: @@ -118,6 +124,7 @@ ONNX Model: shape: - 1 - 1 + type: float parameters: B: value: diff --git a/examples/ONNX/simple_ab.py b/examples/ONNX/simple_ab.py index 105dbac5..3b4aa5d3 100644 --- a/examples/ONNX/simple_ab.py +++ b/examples/ONNX/simple_ab.py @@ -86,16 +86,16 @@ def main(): ), # Makes sure test of this doesn't fail on Windows on GitHub Actions ) if "-run" in sys.argv: - verbose = True - verbose = False + + verbose = "-v" in sys.argv from modeci_mdf.execution_engine import EvaluableGraph eg = EvaluableGraph(mdf_model.graphs[0], verbose=verbose) print("Evaluating graph...") - test_values = [0, 1, [1, 2], dummy_input.numpy()] - test_values = [0, 1, [1, 2]] + test_values = [0.0, 1.0, [1.0, 2.0], dummy_input.numpy()] + test_values = [0.0, 1.0, [1.0, 2.0]] for t in test_values: print("===================\nEvaluating MDF model with input: %s" % t) diff --git a/src/modeci_mdf/execution_engine.py b/src/modeci_mdf/execution_engine.py index b518aa87..a7cdb111 100644 --- a/src/modeci_mdf/execution_engine.py +++ b/src/modeci_mdf/execution_engine.py @@ -686,7 +686,10 @@ class EvaluableInput: def __init__(self, input_port: InputPort, verbose: Optional[bool] = False): self.verbose = verbose self.input_port = input_port - self.curr_value = np.full(input_port.shape, 0) + default = 0 + if input_port.type and "float" in input_port.type: + default = 0.0 + self.curr_value = np.full(input_port.shape, default) def set_input_value(self, value: Union[str, int, np.ndarray]): """Set a new value at input port diff --git a/src/modeci_mdf/interfaces/onnx/importer.py b/src/modeci_mdf/interfaces/onnx/importer.py index 4ebdae73..c9dcd567 100644 --- a/src/modeci_mdf/interfaces/onnx/importer.py +++ b/src/modeci_mdf/interfaces/onnx/importer.py @@ -141,7 +141,7 @@ def onnx_node_to_mdf( for inp in non_constant_inputs: param_info = onnx_initializer.get(inp, None) shape = param_info["shape"] if param_info else None - ip = InputPort(id=id_to_port(inp), shape=shape) + ip = InputPort(id=id_to_port(inp), shape=shape, type="float") mdf_node.input_ports.append(ip) for out in node.output: diff --git a/tests/interfaces/onnx/test_importer.py b/tests/interfaces/onnx/test_importer.py index e0784071..107e5870 100644 --- a/tests/interfaces/onnx/test_importer.py +++ b/tests/interfaces/onnx/test_importer.py @@ -20,13 +20,12 @@ def test_ab(): mdf_model = load_mdf(str(file_path)) # Test input - test_input = np.array([[0, 0, 0], [1, 1, 1]], dtype=np.float32) + test_input = np.array([[0.0, 0.0, 0.0], [1.0, 1.0, 1.0]], dtype=np.float32) # Get the result of MDF execution mdf_executable = EvaluableGraph(mdf_model.graphs[0], verbose=False) - # TODO: the int type cast is necessaryf or now because the nodes' parameters are constants and inputs must have - # the same type - mdf_executable.evaluate(initializer={"input": test_input.astype(int)}) + + mdf_executable.evaluate(initializer={"input": test_input}) mdf_output = mdf_executable.enodes["Mul_3"].evaluable_outputs["_4"].curr_value # Get the translated ONNX model From f2a5536f1cb613b15cc496e551956c7bc02bbc13 Mon Sep 17 00:00:00 2001 From: pgleeson Date: Fri, 19 May 2023 17:46:24 +0100 Subject: [PATCH 04/18] type info in input ports in generated graphs --- .../source/api/export_format/ONNX/ab.png | Bin 40743 -> 42678 bytes .../PyTorch/simple_pytorch_to_mdf.png | Bin 286189 -> 307789 bytes examples/ONNX/ab.png | Bin 40743 -> 42678 bytes examples/PyTorch/simple_pytorch_to_mdf.png | Bin 286189 -> 307789 bytes .../interfaces/graphviz/exporter.py | 17 ++++++++++++++--- tests/test_parameters.py | 12 ++++++++++++ 6 files changed, 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cell model - originally specified in NeuroML/LEMS", "parameters": { "initial_w": 0.0, diff --git a/examples/NeuroML/FN.net.nml b/examples/NeuroML/FN.net.nml index b976a567..bacd03af 100644 --- a/examples/NeuroML/FN.net.nml +++ b/examples/NeuroML/FN.net.nml @@ -1,5 +1,5 @@ - Generated by NeuroMLlite v0.5.4 + Generated by NeuroMLlite v0.5.5 Generated network: FN Generation seed: 1234 NeuroMLlite parameters: diff --git a/examples/NeuroML/Izh.png b/examples/NeuroML/Izh.png index 89225233e517349d2f661edb89c5e588e7cca990..6f99e9d92662ba26c7cb8627e32b40836f28a661 100644 GIT binary patch literal 109697 zcmb@u1z43^w>FHRgo+@FNXte*0YO??K|xZwU4W!?cPSxC3DQW3bayv`w1A85?(Y1@ za=-7X|D5lf>wKU4+SlH~V)3l!nRAT0#{4KFEsA@U{Y z@D-}>J0kEO%r_FE&(SVW|0GnWenCUKhbH#?nS#UD)iFnn-^lZpt%16{Cnnzt%9$tM zTQM8Gm$15GT|T5AIl7HtSP73V(s19)tm5iys~W4&w^cvY^GPq)h|s8`dGVs>@#P@} zh1)j?32#2@C!RlOQO5MqCccf?*}bzhdC7X-rTd^`ayxE^f5Ao3sTvW4FN96yg&$tn zoRRE&&kOapb$$XN?>}GuA%;!(=i7Hu%`$x2+S|FU=dTasyiO`BD@%|5^Q|(vGzEGx 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