def __init__ (self, Id, LayerId):
Neuron.__init__ (self, Id, LayerId)
# Input value
self.input = None
# The associated feature map.
self.featureMap = list ()
# The number of inputs also define the length of the feature map.
self.numberOfInputs = 0
def __init__(self, Id, LayerId):
Neuron.__init__(self, Id, LayerId)
# Input value
self.input = None
# The associated feature map.
self.featureMap = list()
# The number of inputs also define the length of the feature map.
self.numberOfInputs = 0
def __init__(self, Id, LayerId, Name=None):
Neuron.__init__(self, Id, LayerId, Name)
# Bidirectional Synapses
self.inputBidiSynapses = dict()
self.outputBidiSynapses = dict()
# Total number of bidirectional synapses
self.numberOfBidiSynapses = 0
self.numberOfInputBidiSynapses = 0
self.numberOfOutputBidiSynapses = 0
# The current number of number of synapses.
# that have "fired".
self.numberOfBidiSynapsesFired = 0
self.numberOfInputBidiSynapsesFired = 0
self.numberOfOutputBidiSynapsesFired = 0
# The current bidi synapses that have
# successfuly fired (an in "input"), so
# that we release the lock ;)
self.indexOfFiredBidiSynapses = list()
def __init__ (self, Id, LayerId, Name=None):
Neuron.__init__ (self, Id, LayerId, Name)
# Bidirectional Synapses
self.inputBidiSynapses = dict ()
self.outputBidiSynapses= dict ()
# Total number of bidirectional synapses
self.numberOfBidiSynapses = 0
self.numberOfInputBidiSynapses = 0
self.numberOfOutputBidiSynapses= 0
# The current number of number of synapses.
# that have "fired".
self.numberOfBidiSynapsesFired = 0
self.numberOfInputBidiSynapsesFired = 0
self.numberOfOutputBidiSynapsesFired= 0
# The current bidi synapses that have
# successfuly fired (an in "input"), so
# that we release the lock ;)
self.indexOfFiredBidiSynapses = list ()
