org.simbrain.network.neuron_update_rules

Class IntegrateAndFireRule

java.lang.Object

org.simbrain.network.core.NeuronUpdateRule

org.simbrain.network.core.SpikingNeuronUpdateRule

org.simbrain.network.neuron_update_rules.IntegrateAndFireRule

All Implemented Interfaces:

NoisyUpdateRule

public class IntegrateAndFireRule
extends SpikingNeuronUpdateRule
implements NoisyUpdateRule

IntegrateAndFireNeuron implements an integrate and fire neuron. Parameters taken from recordings of rat cortex from: Maass (2002) Real Time Computing Without Stable States: A new framework for neural computations based on perturbations.

Author:

Zach Tosi TODO: Add custom tooltip

Nested Class Summary

Nested classes/interfaces inherited from class org.simbrain.network.core.NeuronUpdateRule

NeuronUpdateRule.InputType

Field Summary

Fields inherited from class org.simbrain.network.core.NeuronUpdateRule

DEFAULT_INCREMENT, increment, inputType

Constructor Summary

Constructors

Constructor and Description
IntegrateAndFireRule()

Method Summary

Modifier and Type	Method and Description
IntegrateAndFireRule	deepCopy() Returns a deep copy of the update rule.
boolean	getAddNoise() Return true if add noise is turned on.
double	getBackgroundCurrent()
java.lang.String	getDescription() Returns a brief description of this update rule.
double	getGraphicalLowerBound() Returns a value for lower bound to be used in computing the saturation of neuron nodes.
double	getGraphicalUpperBound() Returns a value for upper bound to be used in computing the saturation of neuron nodes.
Randomizer	getNoiseGenerator() Return the noise generator.
double	getRandomValue() Returns a random value between the upper and lower bounds of this neuron.
double	getResetPotential()
double	getResistance()
double	getRestingPotential()
double	getThreshold()
double	getTimeConstant()
void	setAddNoise(boolean addNoise) Set whether noise should be used.
void	setAddNoise(Randomizer noise)
void	setBackgroundCurrent(double backgroundCurrent)
void	setNoiseGenerator(Randomizer noiseGenerator) Set the noise generator.
void	setResetPotential(double resetPotential)
void	setResistance(double resistance)
void	setRestingPotential(double restingPotential)
void	setThreshold(double threshold)
void	setTimeConstant(double timeConstant)
void	update(Neuron neuron) Apply the update rule.

Methods inherited from class org.simbrain.network.core.SpikingNeuronUpdateRule

clear, getLastSpikeTime, getTimeType, isSpikingNeuron, setHasSpiked, setLastSpikeTime

Methods inherited from class org.simbrain.network.core.NeuronUpdateRule

contextualDecrement, contextualIncrement, decrementActivation, getDefaultIncrement, getIncrement, getInputType, getToolTipText, incrementActivation, isSkipsSynapticUpdates, setIncrement, setInputType

Methods inherited from class java.lang.Object

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

Constructor Detail

IntegrateAndFireRule

public IntegrateAndFireRule()

Method Detail

deepCopy

public IntegrateAndFireRule deepCopy()

Returns a deep copy of the update rule.

Specified by:

deepCopy in class NeuronUpdateRule

Returns:

Duplicated update rule

update

public void update(Neuron neuron)

Apply the update rule.

Specified by:

update in class SpikingNeuronUpdateRule

Parameters:

neuron - parent neuron

getRandomValue

public double getRandomValue()

Returns a random value between the upper and lower bounds of this neuron. Update rules that require special randomization should override this method.

Overrides:

getRandomValue in class NeuronUpdateRule

Returns:

the random value.

getRestingPotential

public double getRestingPotential()

Returns:

Returns the lowerValue.

setRestingPotential

public void setRestingPotential(double restingPotential)

Parameters:

restingPotential - The restingPotential to set.

getResistance

public double getResistance()

Returns:

Returns the upperValue.

setResistance

public void setResistance(double resistance)

Parameters:

resistance - The resistance to set.

getAddNoise

public boolean getAddNoise()

Description copied from interface: NoisyUpdateRule

Return true if add noise is turned on.

Specified by:

getAddNoise in interface NoisyUpdateRule

Returns:

Returns the lowerValue.

setAddNoise

public void setAddNoise(boolean addNoise)

Description copied from interface: NoisyUpdateRule

Set whether noise should be used.

Specified by:

setAddNoise in interface NoisyUpdateRule

Parameters:

addNoise - The addNoise to set.

setAddNoise

public void setAddNoise(Randomizer noise)

Parameters:

noise - The noise to set.

getNoiseGenerator

public Randomizer getNoiseGenerator()

Description copied from interface: NoisyUpdateRule

Return the noise generator.

Specified by:

getNoiseGenerator in interface NoisyUpdateRule

Returns:

Returns the noiseGenerator.

setNoiseGenerator

public void setNoiseGenerator(Randomizer noiseGenerator)

Description copied from interface: NoisyUpdateRule

Set the noise generator.

Specified by:

setNoiseGenerator in interface NoisyUpdateRule

Parameters:

noiseGenerator - The noiseGenerator to set.

getResetPotential

public double getResetPotential()

Returns:

Returns the resetPotential.

setResetPotential

public void setResetPotential(double resetPotential)

Parameters:

resetPotential - The resetPotential to set.

getBackgroundCurrent

public double getBackgroundCurrent()

Returns:

Returns the background current

setBackgroundCurrent

public void setBackgroundCurrent(double backgroundCurrent)

Parameters:

backgroundCurrent - The background current to set

getThreshold

public double getThreshold()

Returns:

Returns the threshold.

setThreshold

public void setThreshold(double threshold)

Parameters:

threshold - The threshold to set.

getTimeConstant

public double getTimeConstant()

Returns:

Returns the timeConstant.

setTimeConstant

public void setTimeConstant(double timeConstant)

Parameters:

timeConstant - The timeConstant to set.

getDescription

public java.lang.String getDescription()

Description copied from class: NeuronUpdateRule

Returns a brief description of this update rule. Used in combo boxes in the GUI.

Specified by:

getDescription in class NeuronUpdateRule

Returns:

the description.

getGraphicalLowerBound

public double getGraphicalLowerBound()

Description copied from class: NeuronUpdateRule

Returns a value for lower bound to be used in computing the saturation of neuron nodes. Override this to produce nicer graphics, and fine tune based on display of neurons in common use cases for a given neuron type.

Overrides:

getGraphicalLowerBound in class NeuronUpdateRule

Returns:

the graphical lower bound

getGraphicalUpperBound

public double getGraphicalUpperBound()

Description copied from class: NeuronUpdateRule

Returns a value for upper bound to be used in computing the saturation of neuron nodes. Override this to produce nicer graphics, and fine tune based on display of neurons in common use cases for a given neuron type.

Overrides:

getGraphicalUpperBound in class NeuronUpdateRule

Returns:

the graphical upper bound