brain
Class AdaptiveRelisi
java.lang.Object
brain.Module
brain.ModuleRelisi
brain.AdaptiveRelisi
- All Implemented Interfaces:
- java.io.Serializable
public class AdaptiveRelisi
- extends ModuleRelisi
This class extends the ModuleRelisi
by adaptive transfer functions in order to implement entropy maximization using intrinsic plasticity.
- See Also:
- Serialized Form
Methods inherited from class brain.ModuleRelisi |
calculateMembranePotential, calculateOneSelfConsistentIteration, fromXML, getLeak, getLeaks, getMembranePotential, getMembranePotentials, normalizeLinks, reset, setActivities, setActivity, setLeak, setLeaks, setMembranePotential, setMembranePotentials, transferFunction, transferFunctionInverse, updateActivities, updateActivity |
Methods inherited from class brain.Module |
addAfferentModule, addBias, addBias, addChangeListener, addForwardModule, addReceptor, cliqueGraph, createDotGraph, createGnuplotGraph, createGraphMLGraph, createTGFGraph, degreeDistribution, getActiveClique, getActivities, getActivity, getAfferentLink, getAfferentLinks, getAfferentModules, getBias, getBiases, getCliques, getElapsedTime, getElapsedTimeSteps, getForwardModules, getLink, getLinkProbability, getLinks, getName, getNodeDegree, getNodeDegrees, getNodeInDegree, getNodeInDegrees, getNodeOutDegree, getNodeOutDegrees, getPositiveLinkAverage, getReceptor, getReceptors, getSize, hasAfferentModule, hasForwardModule, neighbors, notifyStateChanged, performOneTimeStep, removeAfferentModule, removeAfferentModules, removeChangeListener, removeForwardModule, removeForwardModules, setAfferentLink, setAfferentLinks, setBias, setBias, setLink, setLink, setName, setPositiveLinkAverage, setSize, toString |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
transferFunctionParameterA
protected java.util.List<java.lang.Double> transferFunctionParameterA
transferFunctionParameterB
protected java.util.List<java.lang.Double> transferFunctionParameterB
AdaptiveRelisi
public AdaptiveRelisi(double[][] adjacencyMatrix,
java.util.Random random)
AdaptiveRelisi
public AdaptiveRelisi(int size,
double linkProbability)
AdaptiveRelisi
public AdaptiveRelisi(int size,
double linkProbability,
java.util.Random random)
AdaptiveRelisi
public AdaptiveRelisi()
AdaptiveRelisi
public AdaptiveRelisi(java.io.File file)
throws java.io.IOException
- Throws:
java.io.IOException
addNeuron
public void addNeuron(double activity)
- Overrides:
addNeuron
in class ModuleRelisi
removeNeuron
public void removeNeuron(int index)
- Overrides:
removeNeuron
in class ModuleRelisi
transferFunction
public double transferFunction(double potential,
int neuron)
- Maps the membrane potential x ∈ [0, ∞) to the rate coding activity y ∈ [0, 1].
g = \frac{z}{z+1}, z = \left( \frac{x}{b} \right)^{a b}
- Overrides:
transferFunction
in class ModuleRelisi
- Parameters:
potential
-
- Returns:
- activity
transferFunctionInverse
public double transferFunctionInverse(double activity,
int neuron)
- inverse of @see transferFunction
- Overrides:
transferFunctionInverse
in class ModuleRelisi
calculateOneTimeStep
public void calculateOneTimeStep(double deltaTime)
- Description copied from class:
Module
- calculates one time step of the simulation calculation
This method has to be implemented by subclasses.
- Overrides:
calculateOneTimeStep
in class ModuleRelisi
adaptTransferFunctionParameters
public void adaptTransferFunctionParameters(double deltaTime)
setTransferFunctionParameters
public void setTransferFunctionParameters(int neuron,
double a,
double b)
main
public static void main(java.lang.String[] args)
throws java.io.FileNotFoundException
- Throws:
java.io.FileNotFoundException