def __init__ (self, source):
Synapse.__init__ (self, source, None, None)
# Remove some unused member variables.
del self.source, self.layer, self.target
# The lock owner ;). Who`s got the right to change the inputs.
self.lockOwner = None
# The starting point of the synapse.
self.startPoint = source
# The ending point of the synapse.
self.endPoint = None
def __init__(self, source):
Synapse.__init__(self, source, None, None)
# Remove some unused member variables.
del self.source, self.layer, self.target
# The lock owner ;). Who`s got the right to change the inputs.
self.lockOwner = None
# The starting point of the synapse.
self.startPoint = source
# The ending point of the synapse.
self.endPoint = None
def synapseFired (self, Synapse):
self.numberOfSynapsesFired += 1
if self.numberOfSynapsesFired <= self.numberOfInputs:
prev = self.get_property ("value")
self.set_property ("value", prev + Synapse.getValue ())
# When _all_ incoming synapses have fired, activate the neuron!
if self.numberOfSynapsesFired == self.numberOfInputs:
val = StepActivation.sigmoid (self.get_property ("value"))
self.set_property ("value", val)
self.emit ("activation")
def createSynapse (self, Layer, Neuron):
layer_id = None
neuron_id= Neuron.Id
# The layer id
if isinstance (Layer, int):
layer_id = Layer
else:
layer_id = Layer._Id
if layer_id not in self.synapses.keys ():
self.synapses [layer_id] = dict ()
s = Synapse (self)
s.connect ("input-updated", Neuron.synapseInputUpdated)
s.connect ("weight-updated", Neuron.synapseWeightsUpdated)
s.connect ("notify-src-connect", self.synapseConnectionEstablised)
s.connect ("notify-target-connect", Neuron.synapseAddedAsTarget)
s.connect ("notify-target-disconnect", Neuron.synapseConnectionDestroyed)
s.connect ("fire", Neuron.synapseFired)
s.connectTo (Layer, Neuron)
if neuron_id not in self.synapses [layer_id].keys ():
self.synapses [layer_id][neuron_id] = s
self.numberOfSynapses += 1
