org.aika.network.neuron

Class Neuron

java.lang.Object

org.aika.network.neuron.Neuron

All Implemented Interfaces:

Comparable<Neuron>

Direct Known Subclasses:

RecurrentNeuron, SimpleNeuron

public class Neuron
extends Object
implements Comparable<Neuron>

Author:

Lukas Molzberger

Field Summary

Fields

Modifier and Type	Field and Description
double	bias
static int	currentNeuronId
int	id
boolean	inferenceMode
SortedMap<Neuron,Synapse>	inputSynapses
boolean	isBlocked
boolean	isPredefined
boolean	isPublished
String	label
Model	m
static int	MAX_RECURRENT_ACTIVATIONS
Node	node
SortedMap<Input.InputKey,Input>	outputNodes
SortedMap<Neuron,Synapse>	outputSynapses

Constructor Summary

Constructors

Constructor and Description
Neuron()
Neuron(String label)
Neuron(String label, boolean isBlocked)

Method Summary

Modifier and Type	Method and Description
void	addInputActivation(Iteration t, int begin, int end)
void	addInputActivation(Iteration t, int begin, int end, Option o)
int	compareTo(Neuron n)
NegativeInputNode	getNegativeOutputNode(Integer rid)
PositiveInputNode	getPositiveOutputNode(Integer rid)
void	propagateAddedActivation(Iteration t, Activation act, Range addedRange)
void	propagateInputFrequencyChange(Iteration t)
void	propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	publish(Model m)
void	remove()
void	removeInputActivation(Iteration t, int begin, int end)
void	removeInputActivation(Iteration t, int begin, int end, Option o)
String	toString()
String	toStringWithSynapses()
void	unpublish()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

m

public Model m

MAX_RECURRENT_ACTIVATIONS

public static final int MAX_RECURRENT_ACTIVATIONS

See Also:

Constant Field Values

currentNeuronId

public static int currentNeuronId

id

public int id

label

public String label

bias

public double bias

inputSynapses

public SortedMap<Neuron,Synapse> inputSynapses

outputSynapses

public SortedMap<Neuron,Synapse> outputSynapses

outputNodes

public SortedMap<Input.InputKey,Input> outputNodes

node

public Node node

inferenceMode

public boolean inferenceMode

isPredefined

public boolean isPredefined

isPublished

public boolean isPublished

isBlocked

public boolean isBlocked

Constructor Detail

Neuron

public Neuron()

Neuron

public Neuron(String label)

Neuron

public Neuron(String label,
              boolean isBlocked)

Method Detail

publish

public void publish(Model m)

unpublish

public void unpublish()

getPositiveOutputNode

public PositiveInputNode getPositiveOutputNode(Integer rid)

getNegativeOutputNode

public NegativeInputNode getNegativeOutputNode(Integer rid)

addInputActivation

public void addInputActivation(Iteration t,
                               int begin,
                               int end)

addInputActivation

public void addInputActivation(Iteration t,
                               int begin,
                               int end,
                               Option o)

removeInputActivation

public void removeInputActivation(Iteration t,
                                  int begin,
                                  int end)

removeInputActivation

public void removeInputActivation(Iteration t,
                                  int begin,
                                  int end,
                                  Option o)

propagateAddedActivation

public void propagateAddedActivation(Iteration t,
                                     Activation act,
                                     Range addedRange)

propagateRemovedActivation

public void propagateRemovedActivation(Iteration t,
                                       Activation act,
                                       Range removedRange)

propagateInputFrequencyChange

public void propagateInputFrequencyChange(Iteration t)

remove

public void remove()

toString

public String toString()

Overrides:

toString in class Object

toStringWithSynapses

public String toStringWithSynapses()

compareTo

public int compareTo(Neuron n)

Specified by:

compareTo in interface Comparable<Neuron>