Uses of Class
org.aika.network.neuron.Neuron

Packages that use Neuron

Package	Description
org.aika.network
org.aika.network.neuron
org.aika.network.neuron.lattice
org.aika.predefinedrules

Uses of Neuron in org.aika.network

Fields in org.aika.network with type parameters of type Neuron

Modifier and Type	Field and Description
static Map<String,Neuron>	Network.labeledNeurons
static Set<Neuron>	Network.publishedNeurons

Uses of Neuron in org.aika.network.neuron

Fields in org.aika.network.neuron declared as Neuron

Modifier and Type	Field and Description
Neuron	Synapse.input
Neuron	Neuron.Input.inputNeuron
Neuron	Synapse.output

Fields in org.aika.network.neuron with type parameters of type Neuron

Modifier and Type	Field and Description
SortedMap<Neuron,Synapse>	Neuron.inputSynapses
SortedMap<Neuron,Synapse>	Neuron.outputSynapses

Methods in org.aika.network.neuron that return Neuron

Modifier and Type	Method and Description
static Neuron	Neuron.createAndNeuron(Neuron n, Set<Neuron.Input> inputs)
static Neuron	Neuron.createNegationNeuron(Neuron n, Neuron input, int posDelta)
static Neuron	Neuron.createNeuron(Neuron n, double bias, Set<Synapse> inputs, boolean predefined)
static Neuron	Neuron.createOrLookupInputSignal(String label)
static Neuron	Neuron.createOrLookupInputSignal(String label, boolean isBlocked)
static Neuron	Neuron.createOrNeuron(Neuron n, Set<Neuron.Input> inputs)
static Neuron	Neuron.createRecurrentNeuron(Neuron n, Neuron input, Neuron deactivatingSignal, int dsPosDelta, Integer deactivationCount, boolean firstIncluded, boolean direction)

Methods in org.aika.network.neuron with parameters of type Neuron

Modifier and Type	Method and Description
int	Neuron.compareTo(Neuron n)
static Neuron	Neuron.createAndNeuron(Neuron n, Set<Neuron.Input> inputs)
static Neuron	Neuron.createNegationNeuron(Neuron n, Neuron input, int posDelta)
static Neuron	Neuron.createNeuron(Neuron n, double bias, Set<Synapse> inputs, boolean predefined)
static Neuron	Neuron.createOrNeuron(Neuron n, Set<Neuron.Input> inputs)
static Neuron	Neuron.createRecurrentNeuron(Neuron n, Neuron input, Neuron deactivatingSignal, int dsPosDelta, Integer deactivationCount, boolean firstIncluded, boolean direction)

Constructors in org.aika.network.neuron with parameters of type Neuron

Constructor and Description
Input(boolean isNeg, int posDelta, Neuron inputNeuron)
Input(InputNode.Key ink, Neuron inputNeuron)
Synapse(Neuron input)
Synapse(Neuron input, int posDelta)
Synapse(Neuron input, int posDelta, Integer deactivationCount)

Uses of Neuron in org.aika.network.neuron.lattice

Fields in org.aika.network.neuron.lattice declared as Neuron

Modifier and Type	Field and Description
Neuron	InputNode.inputNeuron
Neuron	Node.neuron
Neuron	AndNode.publishedPatternNeuron

Methods in org.aika.network.neuron.lattice with parameters of type Neuron

Modifier and Type	Method and Description
static InputNode	InputNode.add(Neuron input, boolean isNeg, int posDelta, Integer deactivationCount)
static void	Node.addNeuron(Neuron n, Set<Synapse> inputs)
static Map<AndNode,Set<Synapse>>	Node.computePredefinedAndNodes(Neuron n, Set<Node> outputs, Map<AndNode,Set<Synapse>> previousLevel)
static Map<InputNode,Set<Synapse>>	Node.computePredefinedInputNodes(Neuron n, Set<Node> outputs, Set<Synapse> inputs)
static Map<AndNode,Set<Synapse>>	Node.computePredefinedSecondLevelAndNodes(Neuron n, Set<Node> outputs, Map<InputNode,Set<Synapse>> previousLevel)
double	OrNode.computeSynapseWeightSum(Neuron n)
abstract double	Node.computeSynapseWeightSum(Neuron n)
double	InputNode.computeSynapseWeightSum(Neuron n)
double	AndNode.computeSynapseWeightSum(Neuron n)

Uses of Neuron in org.aika.predefinedrules

Fields in org.aika.predefinedrules declared as Neuron

Modifier and Type	Field and Description
Neuron	PredefinedRules.earlySE
Neuron	PredefinedRules.lateSE