def test_CopyModel(self): """CopyModel""" cynest.ResetKernel() cynest.CopyModel("sample_neuron", 'new_neuron', {'V_m': 10.0}) vm = cynest.GetDefaults('new_neuron')['V_m'] self.assertEqual(vm, 10.0) n = cynest.Create('new_neuron', 10) vm = cynest.GetStatus([n[0]])[0]['V_m'] self.assertEqual(vm, 10.0) cynest.CopyModel('static_synapse', 'new_synapse', {'weight': 10.}) cynest.Connect([n[0]], [n[1]], model='new_synapse') w = cynest.GetDefaults('new_synapse')['weight'] self.assertEqual(w, 10.0) try: cynest.CopyModel( "sample_neuron", 'new_neuron') # shouldn't be possible a second time self.fail('an error should have risen!') # should not be reached except: info = sys.exc_info()[1] if not "NewModelNameExists" in info.__str__(): self.fail('could not pass error message to cynest!')
def test_GetDefaults(self): """GetDefaults""" model = "sample_neuron" cynest.ResetKernel() d = cynest.GetDefaults(model)
def test_SetDefaults(self): """SetDefaults""" m = "sample_neuron" cynest.ResetKernel() cynest.SetDefaults(m, {'V_m': -1.}) self.assertEqual(cynest.GetDefaults(m)['V_m'], -1.) try: cynest.SetDefaults(m, {'DUMMY': 0}) except: info = sys.exc_info()[1] if not "DictError" in info.__str__(): self.fail('wrong error message')
model="inhibitory") endbuild = time.time() print("Simulating.") nest.Simulate(simtime) endsimulate = time.time() events_ex = nest.GetStatus(espikes, "n_events")[0] rate_ex = events_ex / simtime * 1000.0 / N_rec events_in = nest.GetStatus(ispikes, "n_events")[0] rate_in = events_in / simtime * 1000.0 / N_rec num_synapses = nest.GetDefaults("excitatory")["num_connections"]+\ nest.GetDefaults("inhibitory")["num_connections"] build_time = endbuild - startbuild sim_time = endsimulate - endbuild print("Brunel network simulation (Python)") print("Number of neurons :", N_neurons) print("Number of synapses:", num_synapses) print(" Exitatory :", int(CE * N_neurons) + N_neurons) print(" Inhibitory :", int(CI * N_neurons)) print("Excitatory rate : %.2f Hz" % rate_ex) print("Inhibitory rate : %.2f Hz" % rate_in) print("Building time : %.2f s" % build_time) print("Simulation time : %.2f s" % sim_time)
# Copyright (C) 2009-2010 The NEST Initiative ''' This file illustrates recording from a iaf_cond_alpha neuron using a multimeter. See multimeter_file.py for an example of how to record to file. ''' import cynest as nest import numpy as np import pylab as pl nest.ResetKernel() # display recordables for illustration print 'iaf_cond_alpha recordables: ', nest.GetDefaults( 'iaf_cond_alpha')['recordables'] # create neuron and multimeter n = nest.Create('iaf_cond_alpha', params={'tau_syn_ex': 1.0, 'V_reset': -70.0}) m = nest.Create('multimeter', params={ 'withtime': True, 'interval': 0.1, 'record_from': ['V_m', 'g_ex', 'g_in'] }) # Create spike generators and connect gex = nest.Create('spike_generator', params={'spike_times': np.array([10.0, 20.0, 50.0])}) gin = nest.Create('spike_generator',