org.simbrain.network.subnetworks

Class KWTA

java.lang.Object

org.simbrain.network.groups.Group

org.simbrain.network.groups.NeuronGroup

org.simbrain.network.subnetworks.KWTA

All Implemented Interfaces:

CopyableGroup<NeuronGroup>

public class KWTA
extends NeuronGroup

KwtaNetwork implements a k Winner Take All network. The k neurons receiving the most excitatory input will become active. The network determines what level of inhibition across all network neurons will result in those k neurons being active about threshold. From O'Reilley and Munakata, Computational Explorations in Cognitive Neuroscience, p. 110. All page references below are are to this book. TODO: This has been temporarilty disabled. When re-enabled, it's name should reflect its' connection to the Leabra framework, since generic kwta is possible and is slated to be implemented in a regular WTA network.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
(package private) class	KWTA.PointNeuronComparator Used to sort PointNeurons by excitatory conductance.

Field Summary

Fields inherited from class org.simbrain.network.groups.NeuronGroup

DEFAULT_GROUP_SIZE, DEFAULT_LAYOUT, FLUSH_FREQUENCY

Constructor Summary

Constructors

Constructor and Description
KWTA(Network root, int k) Default constructor.

Method Summary

Modifier and Type	Method and Description
int	getK() Returns the initial number of neurons.
void	setK(int k)
void	update() Updates all the neurons in the neuron group according to their NeuronUpdateRule(s).

Methods inherited from class org.simbrain.network.groups.NeuronGroup

addIncomingSg, addNeuron, addNeuron, addOutgoingSg, applyInputs, applyLayout, applyLayout, clearActivations, clearNeuronList, containsAsIncoming, containsAsOutgoing, containsNeuron, copyActivations, deepCopy, delete, forceSetActivationLevels, forceSetActivations, getActivations, getBetweenNeuronInterval, getBiases, getCenterX, getCenterY, getExternalActivations, getFourCorners, getGridThreshold, getHeight, getIncomingSgs, getIncomingWeights, getLabelsOfActiveNeurons, getLayout, getMaxDim, getMaxX, getMaxY, getMinX, getMinY, getMostActiveNeuron, getNeuronList, getNeuronsInRadius, getNeuronType, getNumSubSamples, getOutgoingSg, getOutgoingWeights, getPosition, getSpikeIndexes, getTestData, getTypeDescription, getUpdateMethodDesecription, getWidth, inFanInOfSomeNode, isAllClamped, isAllUnclamped, isEmpty, isInputMode, isRecordAsSpikes, isRecording, isSpikingNeuronGroup, isUseSubSampling, offset, printActivations, prune, randomize, randomizeBiases, randomizeIncomingWeights, randomizeOutgoingWeights, readNextInputs, removeIncomingSg, removeNeuron, removeOutgoingSg, resetSubsamplingIndices, setActivationLevels, setActivations, setBetweenNeuronInterval, setClamped, setGridThreshold, setIncrement, setInputMode, setInputValues, setLayout, setLayoutBasedOnSize, setLayoutBasedOnSize, setLocation, setLowerBound, setNeuronType, setNeuronType, setNumSubSamples, setRecordAsSpikes, setSpikingNeuronGroup, setTestData, setUpperBound, setUseSubSampling, setXYZCoordinatesFromFile, size, startRecording, stopRecording, testAndSetIfSpiking, toString, writeActsToFile

Methods inherited from class org.simbrain.network.groups.Group

getId, getLabel, getParentGroup, getParentNetwork, getStateInfo, hasParentGroup, isMarkedForDeletion, isTopLevelGroup, recursivelySetIds, setId, setLabel, setMarkedForDeletion, setParentGroup, setStateInfo

Methods inherited from class java.lang.Object

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

Constructor Detail

KWTA

public KWTA(Network root,
            int k)

Default constructor.

Parameters:

k - for the number of Neurons in the Kwta Network.

root - reference to Network.

Method Detail

update

public void update()

Description copied from class: NeuronGroup

Updates all the neurons in the neuron group according to their NeuronUpdateRule(s). If the group is in input mode reads in the next set of values from the input table and sets the neuron values accordingly.

Overrides:

update in class NeuronGroup

getK

public int getK()

Returns the initial number of neurons.

Returns:

the initial number of neurons

setK

public void setK(int k)

Parameters:

k - The k to set.