Uses of Class
network.aika.neuron.Synapse

Packages that use Synapse

Package	Description
network.aika
network.aika.neuron
network.aika.neuron.activation
network.aika.training

Uses of Synapse in network.aika

Fields in network.aika with type parameters of type Synapse

Modifier and Type	Field and Description
TreeMap<INeuron,Set<Synapse>>	Document.modifiedWeights
static Comparator<Synapse>	Converter.SYNAPSE_COMP

Methods in network.aika with parameters of type Synapse

Modifier and Type	Method and Description
double	PassiveInputFunction.getActivationValue(Synapse s, Activation outputActivation)
void	Document.notifyWeightModified(Synapse synapse)

Method parameters in network.aika with type arguments of type Synapse

Modifier and Type	Method and Description
static boolean	Converter.convert(int threadId, Document doc, INeuron neuron, Collection<Synapse> modifiedSynapses)

Uses of Synapse in network.aika.neuron

Fields in network.aika.neuron with type parameters of type Synapse

Modifier and Type	Field and Description
NavigableMap<Synapse,Synapse>	Neuron.inMemoryInputSynapses
NavigableMap<Synapse,Synapse>	Neuron.inMemoryInputSynapses
NavigableMap<Synapse,Synapse>	Neuron.inMemoryOutputSynapses
NavigableMap<Synapse,Synapse>	Neuron.inMemoryOutputSynapses
static Comparator<Synapse>	Synapse.INPUT_SYNAPSE_COMP
TreeMap<Synapse,Synapse>	INeuron.inputSynapses
TreeMap<Synapse,Synapse>	INeuron.inputSynapses
NavigableMap<Integer,Synapse>	Neuron.inputSynapsesById
static Comparator<Synapse>	Synapse.OUTPUT_SYNAPSE_COMP
TreeMap<Synapse,Synapse>	INeuron.outputSynapses
TreeMap<Synapse,Synapse>	INeuron.outputSynapses
TreeMap<Synapse,Synapse>	INeuron.passiveInputSynapses
TreeMap<Synapse,Synapse>	INeuron.passiveInputSynapses

Methods in network.aika.neuron that return Synapse

Modifier and Type	Method and Description
static Synapse	Synapse.createOrLookup(Document doc, Integer synapseId, Synapse.Key k, Map<Integer,Relation> relations, DistanceFunction distFunc, Neuron inputNeuron, Neuron outputNeuron)
Synapse	Synapse.Builder.getSynapse(Neuron outputNeuron)
Synapse	Neuron.getSynapseById(int synapseId)
static Synapse	Synapse.read(DataInput in, Model m)

Methods in network.aika.neuron with parameters of type Synapse

Modifier and Type	Method and Description
void	Neuron.addInMemoryInputSynapse(Synapse s)
void	Neuron.addInMemoryOutputSynapse(Synapse s)
void	INeuron.registerPassiveInputSynapse(Synapse s)
void	Neuron.removeInMemoryInputSynapse(Synapse s)
void	Neuron.removeInMemoryOutputSynapse(Synapse s)

Method parameters in network.aika.neuron with type arguments of type Synapse

Modifier and Type	Method and Description
static boolean	INeuron.update(int threadId, Document doc, Neuron pn, Double bias, Collection<Synapse> modifiedSynapses)

Uses of Synapse in network.aika.neuron.activation

Fields in network.aika.neuron.activation declared as Synapse

Modifier and Type	Field and Description
Synapse	Activation.Link.synapse

Constructors in network.aika.neuron.activation with parameters of type Synapse

Constructor and Description
Link(Synapse s, Activation input, Activation output)

Uses of Synapse in network.aika.training

Methods in network.aika.training with parameters of type Synapse

Modifier and Type	Method and Description
void	SynapseEvaluation.DeleteMode.checkIfDelete(Synapse s, boolean delete)
SynapseEvaluation.Result	SynapseEvaluation.evaluate(Synapse s, Activation iAct, Activation oAct) Determines whether a synapse should be created between two neurons during training.