Nest 2.10 min_delay, max_delay

[uahic]

Using the most recent pyNN version (from git) I encounter the following issues:

import pyNN.nest as sim sim.setup()

pop1 = sim.Population(1, sim.ACSource())
which works fine with nest 2.6.0 but gives in nest 2.10
`
80 kernel_delay = nest.GetKernelStatus('min_delay')
---> 81 syn_delay = nest.GetDefaults('static_synapse')['min_delay']
82 if syn_delay == numpy.inf or syn_delay > 1e300:
83 return kernel_delay

KeyError: 'min_delay'
`
Examining the defaults of nest 2.10 reveals that there is no min_delay, possibly they removed it permanently.

Setting the min_delay in setup(min_delay=0.1, max_delay=10.0, timestep=0.01) does not work either

NESTError: DictError in SetDefaults_l_D: Unused dictionary items: min_delay max_delay

Specifying it in a synapse
pop1 = sim.Population(1, sim.ACSource(), sim.StaticSynapse(min_delay=0.1))

did not work

[apdavison]

At present it is not possible to create populations of current sources, i.e., the code should be:

pop1 = sim.ACSource()

not

pop1 = sim.Population(1, sim.ACSource())

If you want multiple current sources (e.g. one per neuron in a population), you have to create a list. I've created a new ticket (#407) proposing a current source array class which would behave more like a population.