org.simnet.synapses
Class SubtractiveNormalizationSynapse

java.lang.Object
  org.simnet.interfaces.Synapse
      org.simnet.synapses.SubtractiveNormalizationSynapse

All Implemented Interfaces:

GaugeSource

public class SubtractiveNormalizationSynapse
extends Synapse

SubtractiveNormalizationSynapse.

Field Summary

Fields inherited from class org.simnet.interfaces.Synapse

id, increment, lowerBound, NUM_PARAMETERS, source, spikeResponder, strength, target, upperBound

Constructor Summary

SubtractiveNormalizationSynapse()
Default constructor needed for external calls which create neurons then set their parameters.

SubtractiveNormalizationSynapse(Neuron source, Neuron target)
Creates a weight connecting source and target neurons.

SubtractiveNormalizationSynapse(Synapse s)
This constructor is used when creating a neuron of one type from another neuron of another type Only values common to different types of neuron are copied.

Method Summary

Synapse	duplicate()
double	getLearningRate()
static String	getName()
void	setLearningRate(double momentum)
void	update() Updates the syanpse.

Methods inherited from class org.simnet.interfaces.Synapse

checkBounds, clip, decrementWeight, duplicate, getDelay, getGaugeValue, getId, getIncrement, getLowerBound, getParent, getSource, getSpikeResponder, getStrength, getSynapseTypeIndex, getTarget, getType, getTypeList, getUpperBound, getValue, incrementWeight, init, initSpikeResponder, randomize, reinforce, setDelay, setId, setIncrement, setLowerBound, setParent, setSource, setSpikeResponder, setStrength, setTarget, setUpperBound, toString, weaken

Methods inherited from class java.lang.Object

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

Constructor Detail

SubtractiveNormalizationSynapse

public SubtractiveNormalizationSynapse()

Default constructor needed for external calls which create neurons then set their parameters.

SubtractiveNormalizationSynapse

public SubtractiveNormalizationSynapse(Synapse s)

This constructor is used when creating a neuron of one type from another neuron of another type Only values common to different types of neuron are copied.

Parameters:

s - Synapse to make of the type

SubtractiveNormalizationSynapse

public SubtractiveNormalizationSynapse(Neuron source,
                                       Neuron target)

Creates a weight connecting source and target neurons.

Parameters:

source - source neuron

target - target neuron

Method Detail

getName

public static String getName()

Returns:

Name of synapse type.

duplicate

public Synapse duplicate()

Specified by:

duplicate in class Synapse

Returns:

duplicate SubtractiveNormalizationSynapse (used, e.g., in copy/paste).

update

public void update()

Updates the syanpse.

Specified by:

update in class Synapse

getLearningRate

public double getLearningRate()

Returns:

Returns the momentum.

setLearningRate

public void setLearningRate(double momentum)

Parameters:

momentum - The momentum to set.