def _local_run(self):
'''
pyNN lazy array demands a minimum population size of 3. Why is that.
'''
import numpy as np
results = {}
#self.population.record('v')
#self.population.record('spikes')
# For ome reason you need to record from all three neurons in a population
# In order to get the membrane potential from only the stimulated neuron.
self.population[0:2].record(('v', 'spikes', 'u'))
'''
self.Iz.record('v')
self.Iz.record('spikes')
# For ome reason you need to record from all three neurons in a population
# In order to get the membrane potential from only the stimulated neuron.
self.Iz.record(('v', 'spikes','u'))
'''
#self.neuron.run(650.0)
DURATION = 1000.0
self.neuron.run(DURATION)
# run the simulation and retrieve the recorded data
sim.run(t_stop)
data = neuron.get_data().segments[0]
data = self.neuron.get_data().segments[0]
vm = data.filter(name="v")[0] #/10.0
results['vm'] = vm / 1000.0
#print(vm)
sample_freq = DURATION / len(vm)
results['t'] = vm.times #np.arange(0,len(vm),DURATION/len(vm))
results['run_number'] = results.get('run_number', 0) + 1
return results
def test_run():
simulator.reset()
simulator.run(12.3)
assert_almost_equal(h.t, 12.3, places=11)
simulator.run(7.7)
assert_almost_equal(h.t, 20.0, places=11)
def run(simtime):
"""Run the simulation for simtime ms."""
simulator.run(simtime)
return get_current_time()
def run(simtime):
"""Run the simulation for simtime ms."""
simulator.run(simtime)
return get_current_time()