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Wondering whether this type of summary might be useful.
Queried for connections between neurons of types in the set
L2, L3, Mi1, TM2, Tm4, T4 & T5
upstream_type
weight
downstream_type
Robustness
downstream neurons
L2
21
Tm4
93.95
2.37
L2
104
Tm2
54.54
1.11
L3
18
Mi1
40.25
1.03
Mi1
16
T4
99.77
7.25
Mi1
13
Tm3
93.58
2.42
Tm2
13
T5
99.55
4.5
Tm3
9
T4
99.32
4.38
Tm3
6
Tm3
64.32
1.48
Tm4
8
T5
97.84
3.64
Weight: mean number of synapses per pairwise connection. Robustness: percentage of cells of the upstream type connected to cells of the downstream type - the number connected to a neuron of the downstream type/number of neurons of the upstream type for which we have connectomic data. Downstream neurons: mean number of neurons of the downstream type that each neuron of the upstream type connects to (dividing the number of pairwise connections by the number of upstream neurons.)
Visualisations - connectivity matrix - could use something fancier than a heat map to allow a couple of values in each square. e.g. see visualisations from transcriptomics of %expressing cells + levels using colors and bars
Wondering whether this type of summary might be useful.
Queried for connections between neurons of types in the set
L2, L3, Mi1, TM2, Tm4, T4 & T5
Weight: mean number of synapses per pairwise connection. Robustness: percentage of cells of the upstream type connected to cells of the downstream type - the number connected to a neuron of the downstream type/number of neurons of the upstream type for which we have connectomic data. Downstream neurons: mean number of neurons of the downstream type that each neuron of the upstream type connects to (dividing the number of pairwise connections by the number of upstream neurons.)
Visualisations - connectivity matrix - could use something fancier than a heat map to allow a couple of values in each square. e.g. see visualisations from transcriptomics of %expressing cells + levels using colors and bars
queries used:
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