如何在 NEST 模拟器中设置 Connection 的突触类型？

Question

Following the tutorial for the Python interface to the NEST simulator I have created 2 neuron populations and connected them:

import nest
ndict = {"I_e": 200.0, "tau_m": 20.0}
nest.SetDefaults("iaf_psc_alpha", ndict)
neuronpop1 = nest.Create("iaf_psc_alpha", 100)
neuronpop2 = nest.Create("iaf_psc_alpha", 100)

nest.Connect(neuronpop1, neuronpop2, syn_spec={"weight":20.0})

But how could I connect them with a specific synapse model like the ones listed in the model directory ?

Answer 1

If I understand the question correctly, you want to connect neurons with specific connectivity patterns.

The default connection pattern of nest.Connect is "all_to_all".

More details about the available patterns are detailed in the Connect documentation .

You can also see the available rules by calling nest.ConnectionRules() .

If you're using ipython or jupyter, you can get the docstring locally by typing nest.Connect? .

EDIT: to change synapse type (how it transmits incoming signals), please see the "synapse types" documentation .

You can find examples for tsodyks or quantal_stdp synapses.

An example with your populations would be:

# connect populations with depressing synapses
dep_params = {"U": 0.67, "u": 0.67, 'x': 1.0, "tau_rec": 450.0,
              "tau_fac": 0.0, "weight": 250.}

nest.CopyModel("tsodyks_synapse", "dep_syn", syn_param)

nest.Connect(neuronpop1, neuronpop2, syn_spec="dep_syn")

for synapses where close subsequent spikes would have less and less effect on the post-synaptic neuron.