class NeuralTractUnit(object):
'''
Class that implements a neural tract unit.
It consists of a point process generator.
'''
def __init__(self, conf, pool, index):
'''
Constructor
- Inputs:
+ **conf**: Configuration object with the simulation parameters.
+ **pool**: string with the name of the Neural tract.
+ **index**: integer corresponding to the neural tract unit identification.
'''
## A PointProcessGenerator object, corresponding the generator of
## spikes of the neural tract unit.
self.spikesGenerator = PointProcessGenerator(index)
## List of the spikes of the neural tract unit.
self.terminalSpikeTrain = self.spikesGenerator.points
self.kind = ''
# Build synapses
##
self.SynapsesOut = []
self.transmitSpikesThroughSynapses = []
self.indicesOfSynapsesOnTarget = []
## Integer corresponding to the neural tract unit identification.
self.index = index
def atualizeNeuralTractUnit(self, t, FR, GammaOrder):
'''
- Inputs:
+ **t**: current instant, in ms.
+ **FR**:
'''
self.spikesGenerator.atualizeGenerator(t, FR, GammaOrder)
if self.terminalSpikeTrain and -1e-3 < (
t - self.terminalSpikeTrain[-1][0]) < 1e-3:
self.transmitSpikes(t)
def transmitSpikes(self, t):
'''
- Inputs:
+ **t**: current instant, in ms.
'''
for i in xrange(len(self.indicesOfSynapsesOnTarget)):
self.transmitSpikesThroughSynapses[i].receiveSpike(
t, self.indicesOfSynapsesOnTarget[i])
def reset(self):
self.spikesGenerator.reset()
self.terminalSpikeTrain = self.spikesGenerator.points
