"""
A single-compartment Hodgkin-Huxley neuron with exponential, conductance-based
synapses, fed by two spike sources.
Run as:
$ python HH_cond_exp.py <simulator>
where <simulator> is 'neuron', 'nest', etc
Andrew Davison, UNIC, CNRS
July 2007
"""
from pyNN.utility import get_script_args
simulator_name = get_script_args(1)[0]
exec("from pyNN.%s import *" % simulator_name)
setup(timestep=0.01, min_delay=0.1, max_delay=4.0, quit_on_end=False)
hhcell = create(HH_cond_exp)
spike_sourceE = create(SpikeSourceArray, {'spike_times': [float(i) for i in range(1,100,1)]})
spike_sourceI = create(SpikeSourceArray, {'spike_times': [float(i) for i in range(100,200,11)]})
connE = connect(spike_sourceE, hhcell, weight=0.02, synapse_type='excitatory', delay=2.0)
connI = connect(spike_sourceI, hhcell, weight=0.01, synapse_type='inhibitory', delay=4.0)
record_v(hhcell, "Results/HH_cond_exp_%s.v" % simulator_name)
record_gsyn(hhcell, "Results/HH_cond_exp_%s.gsyn" % simulator_name)
run(200.0)
end()
