ca.nengo.model.neuron.impl

Class ExpandableSpikingNeuron

java.lang.Object

ca.nengo.model.neuron.impl.SpikingNeuron

ca.nengo.model.neuron.impl.ExpandableSpikingNeuron

All Implemented Interfaces:

ExpandableNode, NEFNode, Neuron, Node, Probeable, Resettable, SimulationMode.ModeConfigurable, VisiblyMutable, java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

GruberNeuronFactory.GruberNeuron

public class ExpandableSpikingNeuron
extends SpikingNeuron
implements ExpandableNode

A SpikingNeuron with an ExpandableSynapticIntegrator.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from interface ca.nengo.util.VisiblyMutable

VisiblyMutable.Event, VisiblyMutable.Listener, VisiblyMutable.NameChangeEvent, VisiblyMutable.NodeRemovedEvent

Field Summary

Fields inherited from class ca.nengo.model.neuron.impl.SpikingNeuron

CURRENT

Fields inherited from interface ca.nengo.model.neuron.Neuron

AXON

Constructor Summary

Constructors

Constructor and Description
ExpandableSpikingNeuron(SynapticIntegrator integrator, SpikeGenerator generator, float scale, float bias, java.lang.String name) Note: current = scale * (weighted sum of inputs at each termination) * (radial input) + bias.

Method Summary

Methods

Modifier and Type	Method and Description
Termination	addDelayedTermination(java.lang.String name, float[][] weights, float tauPSC, float delay, boolean modulatory)
Termination	addTermination(java.lang.String name, float[][] weights, float tauPSC, boolean modulatory) Adds a new Termination onto this Node.
ExpandableSpikingNeuron	clone()
int	getDimension()
ExpandableSynapticIntegrator	getSynapticIntegrator()
Termination	removeTermination(java.lang.String name)

Methods inherited from class ca.nengo.model.neuron.impl.SpikingNeuron

addChangeListener, fireVisibleChangeEvent, getBias, getChildren, getDocumentation, getGenerator, getHistory, getIntegrator, getMode, getName, getNoise, getOrigin, getOrigins, getScale, getTermination, getTerminations, listStates, notifyAboutDeletion, removeChangeListener, reset, run, setBias, setDocumentation, setGenerator, setIntegrator, setMode, setName, setNoise, setRadialInput, setScale, toScript

Methods inherited from class java.lang.Object

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

Methods inherited from interface ca.nengo.model.Node

getChildren, getDocumentation, getName, getOrigin, getOrigins, getTermination, getTerminations, notifyAboutDeletion, run, setDocumentation, setName, toScript

Methods inherited from interface ca.nengo.model.Resettable

reset

Methods inherited from interface ca.nengo.model.SimulationMode.ModeConfigurable

getMode, setMode

Methods inherited from interface ca.nengo.util.VisiblyMutable

addChangeListener, removeChangeListener

Constructor Detail

ExpandableSpikingNeuron

public ExpandableSpikingNeuron(SynapticIntegrator integrator,
                       SpikeGenerator generator,
                       float scale,
                       float bias,
                       java.lang.String name)

Note: current = scale * (weighted sum of inputs at each termination) * (radial input) + bias.

Parameters:

integrator - SynapticIntegrator used to model dendritic/somatic integration of inputs to this Neuron (must be Plastic)

generator - SpikeGenerator used to model spike generation at the axon hillock of this Neuron

scale - A coefficient that scales summed input

bias - A bias current that models unaccounted-for inputs and/or intrinsic currents

name - A unique name for this neuron in the context of the Network or Ensemble to which it belongs

Method Detail

addTermination

public Termination addTermination(java.lang.String name,
                         float[][] weights,
                         float tauPSC,
                         boolean modulatory)
                           throws StructuralException

Description copied from interface: ExpandableNode

Adds a new Termination onto this Node.

Specified by:

addTermination in interface ExpandableNode

Parameters:

name - Unique name for the Termination (in the scope of this Node)

weights - Connection weights. Length must equal getDimension(). Each component must have length equal to the dimension of the Origin that will connect to this Termination.

tauPSC - Time constant with which incoming signals are filtered. (All Terminations have this property, but it may have slightly different interpretations per implementation.)

modulatory - If true, inputs to the Termination are not summed with other inputs (they only have modulatory effects, eg on plasticity, which must be defined elsewhere).

Returns:

resulting Termination

Throws:

StructuralException - if length of weights doesn't equal getDimension(), or if there are different numbers of weights given in different rows.

See Also:

ExpandableNode.addTermination(java.lang.String, float[][], float, boolean)

addDelayedTermination

public Termination addDelayedTermination(java.lang.String name,
                                float[][] weights,
                                float tauPSC,
                                float delay,
                                boolean modulatory)
                                  throws StructuralException

Throws:

StructuralException

getDimension

public int getDimension()

Specified by:

getDimension in interface ExpandableNode

Returns:

Output dimension of Terminations onto this Node

See Also:

ExpandableNode.getDimension()

removeTermination

public Termination removeTermination(java.lang.String name)
                              throws StructuralException

Specified by:

removeTermination in interface ExpandableNode

Parameters:

name - Name of Termination to remove.

Returns:

The removed Termination

Throws:

StructuralException - if the Termination doesn't exist

See Also:

ExpandableNode.removeTermination(java.lang.String)

getSynapticIntegrator

public ExpandableSynapticIntegrator getSynapticIntegrator()

Returns:

SynapticIntegrator for this neuron

clone

public ExpandableSpikingNeuron clone()
                              throws java.lang.CloneNotSupportedException

Specified by:

clone in interface ExpandableNode

Specified by:

clone in interface Node

Overrides:

clone in class SpikingNeuron

Returns:

An independent copy of the Node

Throws:

java.lang.CloneNotSupportedException - if clone can't be made