def bidiSynapseFired(self, BidiSynapse):
lockOwner = BidiSynapse.lockOwner
if lockOwner is self:
self.numberOfOutputBidiSynapsesFired += 1
BidiSynapse.releaseLock()
else:
# Let`s find out to which neuron/direction the firing
# takes place :-)
neuron = None
if lockOwner is BidiSynapse.startPoint:
neuron = BidiSynapse.endPoint
numberOfWhatSynapses = self.numberOfInputBidiSynapses
numberOfWhatSynapsesFired = self.numberOfInputBidiSynapsesFired
#neuron.numberOfInputBidiSynapsesFired += 1
else:
neuron = lockOwner
numberOfWhatSynapses = self.numberOfOutputBidiSynapses
numberOfWhatSynapsesFired = self.numberOfOutputBidiSynapsesFired
#neuron.numberOfOutputBidiSynapsesFired += 1
BidiSynapse.acquireLock(self)
self.numberOfSynapsesFired += 1
if numberOfWhatSynapsesFired <= 1:
prev = self.get_property("value")
self.set_property("value", prev + BidiSynapse.getValue())
# Activate the neuron if all the input synapses have fired!
if numberOfWhatSynapsesFired == numberOfWhatSynapses:
val = StepActivation.sigmoid(self.get_property("value"))
self.set_property("value", val)
self.emit("activation")
def bidiSynapseFired (self, BidiSynapse):
lockOwner = BidiSynapse.lockOwner
if lockOwner is self:
self.numberOfOutputBidiSynapsesFired += 1
BidiSynapse.releaseLock ()
else:
# Let`s find out to which neuron/direction the firing
# takes place :-)
neuron = None
if lockOwner is BidiSynapse.startPoint:
neuron = BidiSynapse.endPoint
numberOfWhatSynapses = self.numberOfInputBidiSynapses
numberOfWhatSynapsesFired = self.numberOfInputBidiSynapsesFired
#neuron.numberOfInputBidiSynapsesFired += 1
else:
neuron = lockOwner
numberOfWhatSynapses = self.numberOfOutputBidiSynapses
numberOfWhatSynapsesFired = self.numberOfOutputBidiSynapsesFired
#neuron.numberOfOutputBidiSynapsesFired += 1
BidiSynapse.acquireLock (self)
self.numberOfSynapsesFired +=1
if numberOfWhatSynapsesFired <= 1:
prev = self.get_property ("value")
self.set_property ("value", prev + BidiSynapse.getValue ())
# Activate the neuron if all the input synapses have fired!
if numberOfWhatSynapsesFired == numberOfWhatSynapses:
val = StepActivation.sigmoid (self.get_property ("value"))
self.set_property ("value", val)
self.emit ("activation")
def bidiSynapseNotifyEndpointConnect(self, BidiSynapse):
"""
"""
BidiSynapse.endPoint = self
layer_id = BidiSynapse.startPoint.LayerId
neuron_id = BidiSynapse.startPoint.Id
if layer_id not in self.inputBidiSynapses.keys():
self.inputBidiSynapses[layer_id] = dict()
if neuron_id not in self.inputBidiSynapses[layer_id]:
self.inputBidiSynapses[layer_id][neuron_id] = BidiSynapse
# keep track of the total number of the synapses
self.numberOfInputBidiSynapses += 1
self.numberOfSynapses += 1
# update the number of inputs this neuron accepts
self.numberOfInputs += 1
BidiSynapse.emit("notify-bidisynapse-connected")
else:
BidiSynapse.emit("notify-bidisynapse-connection-failed")
def bidiSynapseNotifyEndpointConnect (self, BidiSynapse):
"""
"""
BidiSynapse.endPoint = self
layer_id = BidiSynapse.startPoint.LayerId
neuron_id= BidiSynapse.startPoint.Id
if layer_id not in self.inputBidiSynapses.keys ():
self.inputBidiSynapses [layer_id] = dict ()
if neuron_id not in self.inputBidiSynapses [layer_id]:
self.inputBidiSynapses [layer_id][neuron_id] = BidiSynapse
# keep track of the total number of the synapses
self.numberOfInputBidiSynapses += 1
self.numberOfSynapses += 1
# update the number of inputs this neuron accepts
self.numberOfInputs += 1
BidiSynapse.emit ("notify-bidisynapse-connected")
else:
BidiSynapse.emit ("notify-bidisynapse-connection-failed")
def createBidiSynapse(self, targetNeuron):
"""
Create a connection with the target neuron, using a bidirection synapse.
"""
self.outputBidiSynapses[targetNeuron.LayerId] = dict()
# Create the bidisynapse
b = BidiSynapse(self)
# Connect the signals with the source neuron.
b.connect("input-updated", self.bidiSynapseInputUpdated)
b.connect("weight-updated", self.bidiSynapseWeightsUpdated)
b.connect("lock-acquired", self.bidiSynapseLockAcquired)
b.connect("lock-released", self.bidiSynapseLockReleased)
b.connect("bifire", self.bidiSynapseFired)
# Connect the signals with the target neuron, and then create the actual
# connection.
b.connect("input-updated", targetNeuron.bidiSynapseInputUpdated)
b.connect("weight-updated", targetNeuron.bidiSynapseWeightsUpdated)
b.connect("bifire", targetNeuron.bidiSynapseFired)
b.connect("notify-endpoint-connect",
targetNeuron.bidiSynapseNotifyEndpointConnect)
b.connect("lock-acquired", targetNeuron.bidiSynapseLockAcquired)
b.connect("lock-released", targetNeuron.bidiSynapseLockReleased)
b.connectTo(targetNeuron)
b.acquireLock(self)
# Store the actual bidi synapse.
self.outputBidiSynapses[targetNeuron.LayerId][targetNeuron.Id] = b
self.numberOfOutputBidiSynapses += 1
self.numberOfBidiSynapses += 1
return b
def bidiSynapseLockReleased(self, BidiSynapse):
if BidiSynapse.lockOwner is not self:
print "[Lock Released] by %s" % BidiSynapse.lockOwner
BidiSynapse.acquireLock(self)
def createBidiSynapse (self, targetNeuron):
"""
Create a connection with the target neuron, using a bidirection synapse.
"""
self.outputBidiSynapses [targetNeuron.LayerId] = dict ()
# Create the bidisynapse
b = BidiSynapse (self)
# Connect the signals with the source neuron.
b.connect ("input-updated", self.bidiSynapseInputUpdated)
b.connect ("weight-updated", self.bidiSynapseWeightsUpdated)
b.connect ("lock-acquired", self.bidiSynapseLockAcquired)
b.connect ("lock-released", self.bidiSynapseLockReleased)
b.connect ("bifire", self.bidiSynapseFired)
# Connect the signals with the target neuron, and then create the actual
# connection.
b.connect ("input-updated", targetNeuron.bidiSynapseInputUpdated)
b.connect ("weight-updated", targetNeuron.bidiSynapseWeightsUpdated)
b.connect ("bifire", targetNeuron.bidiSynapseFired)
b.connect ("notify-endpoint-connect", targetNeuron.bidiSynapseNotifyEndpointConnect)
b.connect ("lock-acquired", targetNeuron.bidiSynapseLockAcquired)
b.connect ("lock-released", targetNeuron.bidiSynapseLockReleased)
b.connectTo (targetNeuron)
b.acquireLock (self)
# Store the actual bidi synapse.
self.outputBidiSynapses [targetNeuron.LayerId][targetNeuron.Id] = b
self.numberOfOutputBidiSynapses += 1
self.numberOfBidiSynapses += 1
return b
def bidiSynapseLockReleased (self, BidiSynapse):
if BidiSynapse.lockOwner is not self:
print "[Lock Released] by %s" % BidiSynapse.lockOwner
BidiSynapse.acquireLock (self)
