Package network.aika.neuron

Class Neuron<S extends Synapse,A extends Activation>

java.lang.Object
network.aika.neuron.Neuron<S,A>
All Implemented Interfaces:
Writable
Direct Known Subclasses:
ConjunctiveNeuron, DisjunctiveNeuron
public abstract class Neuron<S extends Synapse,A extends Activation> extends Object implements Writable
Author:
Lukas Molzberger

  • Field Details

  • Constructor Details

    • Neuron

      protected Neuron()

    • Neuron

      public Neuron(NeuronProvider p)

    • Neuron

      public Neuron(Model m, boolean addProvider)

  • Method Details

    • register

      public void register(A act)

    • templateNeuronMatches

      public boolean templateNeuronMatches(Neuron<?,?> targetN)

    • getActivations

      public SortedSet<A> getActivations(Thought t)

    • getTemplateInfo

      public TemplateNeuronInfo getTemplateInfo()

    • initFromTemplate

      protected void initFromTemplate(Neuron n)

    • createActivation

      public abstract A createActivation(Thought t)

    • instantiateTemplate

      public abstract Neuron<?,?> instantiateTemplate(boolean addProvider)

    • addInactiveLinks

      public abstract void addInactiveLinks(Activation act)

    • getActivationFunction

      public abstract ActivationFunction getActivationFunction()

    • isAllowTraining

      public boolean isAllowTraining()

    • setAllowTraining

      public void setAllowTraining(boolean allowTraining)

    • isTemplate

      public boolean isTemplate()

    • getTemplate

      public Neuron getTemplate()

    • getTemplateGroup

      public Set<Neuron> getTemplateGroup()

    • getOutputSynapse

      public Synapse getOutputSynapse(NeuronProvider n)

    • biasUpdate

      protected void biasUpdate(double u)

    • getCandidateGradient

      public double getCandidateGradient(Activation act)

    • getSampleSpace

      public SampleSpace getSampleSpace()

    • getProvider

      public NeuronProvider getProvider()

    • setProvider

      public void setProvider(NeuronProvider p)

    • getInputSynapses

      public Stream<S> getInputSynapses()

    • getOutputSynapses

      public Stream<? extends Synapse> getOutputSynapses()

    • setNetworkInput

      public void setNetworkInput(boolean networkInput)

    • isNetworkInput

      public boolean isNetworkInput()

    • containsInputSynapse

      public boolean containsInputSynapse(Synapse s)

    • containsOutputSynapse

      public boolean containsOutputSynapse(Synapse s)

    • getTargetSynapses

      public Stream<? extends Synapse> getTargetSynapses(Direction dir, boolean template)

    • getInputSynapse

      public Synapse getInputSynapse(NeuronProvider n)

    • addInputSynapse

      public void addInputSynapse(S s)

    • removeInputSynapse

      public void removeInputSynapse(S s)

    • addOutputSynapse

      public void addOutputSynapse(Synapse s)

    • removeOutputSynapse

      public void removeOutputSynapse(Synapse s)

    • getId

      public Long getId()

    • getLabel

      public String getLabel()

    • setLabel

      public void setLabel(String label)

    • getCustomData

      public Writable getCustomData()

    • setCustomData

      public void setCustomData(Writable customData)

    • getModel

      public <M extends Model> M getModel()

    • getRetrievalCount

      public long getRetrievalCount()

    • setModified

      public void setModified()

    • resetModified

      public void resetModified()

    • isModified

      public boolean isModified()

    • limitBias

      public void limitBias()

    • getBias

      public DoubleField getBias()

    • getLock

      public ReadWriteLock getLock()

    • count

      public void count(Activation act)

    • applyMovingAverage

      public void applyMovingAverage(double alpha)

    • getSurprisal

      public double getSurprisal(Sign s, Range range, boolean addCurrentInstance)

    • getProbability

      public double getProbability(Sign s, double n, boolean addCurrentInstance)

    • getFrequency

      public double getFrequency()

    • getFrequency

      public double getFrequency(Sign s, double n)

    • setFrequency

      public void setFrequency(double f)

    • checkTemplateInductionThreshold

      public boolean checkTemplateInductionThreshold(Activation act)

    • reactivate

      public void reactivate(Model m)

    • suspend

      public void suspend()

    • updateAllowPropagate

      public void updateAllowPropagate()

    • write

      public void write(DataOutput out) throws IOException
      Description copied from interface: Writable
      Serialize the fields of this object to out.
      Specified by:
      write in interface Writable
      Parameters:
      out - DataOuput to serialize this object into.
      Throws:
      IOException

    • read

      public static Neuron read(DataInput in, Model m) throws Exception
      Throws:
      Exception

    • readFields

      public void readFields(DataInput in, Model m) throws Exception
      Description copied from interface: Writable
      Deserialize the fields of this object from in.

      For efficiency, implementations should attempt to re-use storage in the existing object where possible.

      Specified by:
      readFields in interface Writable
      Parameters:
      in - DataInput to deseriablize this object from.
      Throws:
      Exception

    • toKeyString

      public String toKeyString()

    • toString

      public String toString()
      Overrides:
      toString in class Object