org.simnet.neurons
Class IzhikevichNeuron

java.lang.Object
  org.simnet.interfaces.Neuron
      org.simnet.neurons.IzhikevichNeuron

All Implemented Interfaces:

GaugeSource, SpikingNeuron

public class IzhikevichNeuron
extends Neuron
implements SpikingNeuron

IzhikevichNeuron.

Field Summary

Fields inherited from class org.simnet.interfaces.Neuron

activation, fanIn, fanOut, lowerBound, upperBound

Constructor Summary

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

IzhikevichNeuron(Neuron n)
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

Neuron	duplicate()
double	getA()
boolean	getAddNoise()
double	getB()
double	getC()
double	getD()
static String	getName()
RandomSource	getNoiseGenerator()
int	getTimeType()
boolean	hasSpiked()
void	setA(double a)
void	setAddNoise(boolean addNoise)
void	setB(double b)
void	setC(double c)
void	setD(double d)
void	setNoiseGenerator(RandomSource noiseGenerator)
void	update() Updates the neuron.

Methods inherited from class org.simnet.interfaces.Neuron

addActivation, addSource, addTarget, checkBounds, clear, clip, connectedToWeight, containsString, debug, decrementActivation, deleteConnectedSynapses, deleteFanIn, deleteFanOut, duplicate, getActivation, getAverageInput, getBuffer, getFanIn, getFanOut, getGaugeValue, getHelp, getId, getIncrement, getInputValue, getLowerBound, getMotorCoupling, getNeuronTypeIndex, getNumberOfActiveInputs, getParentNetwork, getSensoryCoupling, getSummedIncomingWeights, getToolTipText, getTotalInput, getType, getTypeList, getUpperBound, getWeightedInputs, getX, getY, incrementActivation, initCastor, isInput, isOutput, randomize, randomizeBuffer, round, setActivation, setBuffer, setFanIn, setFanOut, setId, setIncrement, setInputValue, setLowerBound, setMotorCoupling, setParentNetwork, setSensoryCoupling, setTypeList, setUpperBound, setX, setY, toString, updateConnectedOutward

Methods inherited from class java.lang.Object

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

Constructor Detail

IzhikevichNeuron

public IzhikevichNeuron()

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

IzhikevichNeuron

public IzhikevichNeuron(Neuron n)

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:

n - Neuron to make of the type

Method Detail

getTimeType

public int getTimeType()

Specified by:

getTimeType in class Neuron

Returns:

Time type.

duplicate

public Neuron duplicate()

Specified by:

duplicate in class Neuron

Returns:

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

update

public void update()

Updates the neuron.

Specified by:

update in class Neuron

hasSpiked

public boolean hasSpiked()

Specified by:

hasSpiked in interface SpikingNeuron

Returns:

Has the neuron spiked.

getA

public double getA()

Returns:

Returns the a.

setA

public void setA(double a)

Parameters:

a - The a to set.

getB

public double getB()

Returns:

Returns the b.

setB

public void setB(double b)

Parameters:

b - The b to set.

getC

public double getC()

Returns:

Returns the c.

setC

public void setC(double c)

Parameters:

c - The c to set.

getD

public double getD()

Returns:

Returns the d.

setD

public void setD(double d)

Parameters:

d - The d to set.

getName

public static String getName()

Returns:

Name of the neuron type.

getAddNoise

public boolean getAddNoise()

Returns:

Returns the addNoise.

setAddNoise

public void setAddNoise(boolean addNoise)

Parameters:

addNoise - The addNoise to set.

getNoiseGenerator

public RandomSource getNoiseGenerator()

Returns:

Returns the noiseGenerator.

setNoiseGenerator

public void setNoiseGenerator(RandomSource noiseGenerator)

Parameters:

noiseGenerator - The noiseGenerator to set.