Uses of Class
network.aika.neuron.Neuron
Package
Description
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Uses of Neuron in network.aika
Modifier and TypeMethodDescriptionStream<BindingSignal<?>>
Thought.getLooselyRelatedBindingSignals
(BindingSignal<?> fromBindingSignal, Integer looseLinkingRange, Neuron toNeuron) -
Uses of Neuron in network.aika.direction
Modifier and TypeMethodDescriptionModifier and TypeMethodDescriptionDirection.getSynapses
(Neuron n) Input.getSynapses
(Neuron n) Output.getSynapses
(Neuron n) -
Uses of Neuron in network.aika.neuron
Modifier and TypeClassDescriptionclass
Synapse<S extends Synapse,
I extends Neuron & Axon, O extends Neuron<?, OA>, L extends Link<S, IA, OA>, IA extends Activation, OA extends Activation> class
Synapse<S extends Synapse,
I extends Neuron & Axon, O extends Neuron<?, OA>, L extends Link<S, IA, OA>, IA extends Activation, OA extends Activation> Modifier and TypeMethodDescriptionNeuronProvider.getIfNotSuspended()
NeuronProvider.getNeuron()
Neuron.getTemplate()
Templates.getTemplateNeuron
(byte templateNeuronId) abstract Neuron<?,
?> Neuron.instantiateTemplate
(boolean addProvider) static Neuron
Modifier and TypeMethodDescriptionTemplates.getAllTemplates()
Neuron.getTemplateGroup()
TemplateNeuronInfo.getTemplateGroup()
Modifier and TypeMethodDescriptionprotected void
Neuron.initFromTemplate
(Neuron n) void
boolean
Neuron.templateNeuronMatches
(Neuron<?, ?> targetN) Modifier and TypeMethodDescriptionvoid
TemplateNeuronInfo.setTemplateGroup
(Set<Neuron> templateGroup) -
Uses of Neuron in network.aika.neuron.activation
Modifier and TypeClassDescriptionclass
Activation<N extends Neuron>
class
ConjunctiveActivation<N extends Neuron>
Modifier and TypeMethodDescriptionActivation.getInputLink
(Neuron n) Activation.getReverseBindingSignals
(Neuron toNeuron) BindingActivation.getReverseBindingSignals
(Neuron toNeuron) DisjunctiveActivation.getReverseBindingSignals
(Neuron toNeuron) Stream<? extends BindingSignal<?>>
DummyActivation.getReverseBindingSignals
(Neuron toNeuron) ModifierConstructorDescriptionDummyActivation
(int id, Neuron neuron) DummyActivation
(Neuron neuron) -
Uses of Neuron in network.aika.neuron.conjunctive
Modifier and TypeClassDescriptionclass
BindingNeuronSynapse<S extends BindingNeuronSynapse,
I extends Neuron & Axon, L extends Link<S, IA, BindingActivation>, IA extends Activation> class
ConjunctiveSynapse<S extends ConjunctiveSynapse,
I extends Neuron & Axon, O extends ConjunctiveNeuron<?, OA>, L extends Link<S, IA, OA>, IA extends Activation, OA extends ConjunctiveActivation> class
PrimaryInputSynapse<I extends Neuron & PatternAxon,
IA extends Activation> Modifier and TypeClassDescriptionclass
class
ConjunctiveNeuron<S extends ConjunctiveSynapse,
A extends ConjunctiveActivation> class
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Uses of Neuron in network.aika.neuron.disjunctive
Modifier and TypeClassDescriptionclass
CategorySynapse<N extends Neuron & PatternAxon>
class
DisjunctiveSynapse<S extends DisjunctiveSynapse,
I extends Neuron & Axon, O extends DisjunctiveNeuron<?, OA>, L extends Link<S, IA, OA>, IA extends Activation, OA extends DisjunctiveActivation> Modifier and TypeClassDescriptionclass
class
DisjunctiveNeuron<S extends DisjunctiveSynapse,
A extends Activation> class
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Uses of Neuron in network.aika.steps.activation
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Uses of Neuron in network.aika.text
Modifier and TypeMethodDescriptionStream<BindingSignal<?>>
Document.getLooselyRelatedBindingSignals
(BindingSignal<?> fromBindingSignal, Integer looseLinkingRange, Neuron toNeuron) -
Uses of Neuron in network.aika.utils
Modifier and TypeMethodDescriptionstatic <N extends Neuron>
NTestUtils.createNeuron
(Neuron templateNeuron, String label) static <N extends Neuron>
NTestUtils.createNeuron
(Neuron templateNeuron, String label, boolean inputNeuron) Modifier and TypeMethodDescriptionstatic <N extends Neuron>
NTestUtils.createNeuron
(Neuron templateNeuron, String label) static <N extends Neuron>
NTestUtils.createNeuron
(Neuron templateNeuron, String label, boolean inputNeuron) static <S extends Synapse>
STestUtils.createSynapse
(Synapse templateSynapse, Neuron input, Neuron output, double weight) static void
TestUtils.setStatistic
(Neuron n, double frequency, int N, long lastPosition) static void
TestUtils.updateBias
(Neuron n, double bias)