"""
A single IF neuron with exponential, conductance-based synapses, fed by two
spike sources.
Run as:
$ python IF_cond_exp.py <simulator>
where <simulator> is 'neuron', 'nest', etc
Andrew Davison, UNIC, CNRS
May 2006
"""
from pyNN.utility import get_script_args
from pyNN.errors import RecordingError
simulator_name = get_script_args(1)[0]
exec("from pyNN.%s import *" % simulator_name)
setup(timestep=0.1,min_delay=0.1,max_delay=4.0)
ifcell = create(IF_cond_exp, { 'i_offset' : 0.1, 'tau_refrac' : 3.0,
'v_thresh' : -51.0, 'tau_syn_E' : 2.0,
'tau_syn_I': 5.0, 'v_reset' : -70.0,
'e_rev_E' : 0., 'e_rev_I' : -80.})
spike_sourceE = create(SpikeSourceArray, {'spike_times': [float(i) for i in range(5,105,10)]})
spike_sourceI = create(SpikeSourceArray, {'spike_times': [float(i) for i in range(155,255,10)]})
connE = connect(spike_sourceE, ifcell, weight=0.006, synapse_type='excitatory',delay=2.0)
connI = connect(spike_sourceI, ifcell, weight=0.02, synapse_type ='inhibitory',delay=4.0)
record_v(ifcell, "Results/IF_cond_exp_%s.v" % simulator_name)
try:
record_gsyn(ifcell, "Results/IF_cond_exp_%s.gsyn" % simulator_name)
except (NotImplementedError, RecordingError):
pass
run(200.0)
end()
