Uses of Class
org.aika.neuron.Neuron

Packages that use Neuron

Package	Description
org.aika
org.aika.lattice
org.aika.neuron

Uses of Neuron in org.aika

Fields in org.aika declared as Neuron

Modifier and Type	Field and Description
Neuron	Iteration.Input.neuron

Fields in org.aika with type parameters of type Neuron

Modifier and Type	Field and Description
TreeSet<Neuron>	Iteration.activatedInputNeurons
TreeSet<Neuron>	Iteration.activatedNeurons
TreeSet<Neuron>	Iteration.finallyActivatedNeurons
Map<String,Neuron>	Model.labeledNeurons
Map<Integer,Neuron>	Model.neurons

Methods in org.aika that return Neuron

Modifier and Type	Method and Description
Neuron	Iteration.createAndNeuron(Neuron n, double threshold, Collection<Iteration.Input> inputs) Creates a neuron representing a conjunction of its inputs.
Neuron	Iteration.createAndNeuron(Neuron n, double threshold, Iteration.Input... inputs)
Neuron	Iteration.createCounterNeuron(Neuron n, Neuron clockSignal, boolean dirCS, Neuron startSignal, boolean dirSS, boolean direction) A cycle neuron is used to compute the relational id.
Neuron	Iteration.createNeuron(Neuron n, double bias, Collection<Iteration.Input> inputs)
Neuron	Iteration.createNeuron(Neuron n, double bias, Iteration.Input... inputs)
Neuron	Iteration.createOrNeuron(Neuron n, Iteration.Input... inputs)
Neuron	Iteration.createOrNeuron(Neuron n, Set<Iteration.Input> inputs) Creates a neuron representing a disjunction of its inputs.
Neuron	Iteration.createRelationalNeuron(Neuron n, Neuron ctn, Neuron inputSignal, boolean dirIS) A relational neuron combines the relational id created by a cycle neuron with an input signal.

Methods in org.aika with parameters of type Neuron

Modifier and Type	Method and Description
Neuron	Iteration.createAndNeuron(Neuron n, double threshold, Collection<Iteration.Input> inputs) Creates a neuron representing a conjunction of its inputs.
Neuron	Iteration.createAndNeuron(Neuron n, double threshold, Iteration.Input... inputs)
Neuron	Iteration.createCounterNeuron(Neuron n, Neuron clockSignal, boolean dirCS, Neuron startSignal, boolean dirSS, boolean direction) A cycle neuron is used to compute the relational id.
Neuron	Iteration.createNeuron(Neuron n, double bias, Collection<Iteration.Input> inputs)
Neuron	Iteration.createNeuron(Neuron n, double bias, Iteration.Input... inputs)
Neuron	Iteration.createOrNeuron(Neuron n, Iteration.Input... inputs)
Neuron	Iteration.createOrNeuron(Neuron n, Set<Iteration.Input> inputs) Creates a neuron representing a disjunction of its inputs.
Neuron	Iteration.createRelationalNeuron(Neuron n, Neuron ctn, Neuron inputSignal, boolean dirIS) A relational neuron combines the relational id created by a cycle neuron with an input signal.
Iteration.Input	Iteration.Input.setNeuron(Neuron neuron) Determines the input neuron.

Uses of Neuron in org.aika.lattice

Fields in org.aika.lattice declared as Neuron

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

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

Modifier and Type	Method and Description
static InputNode	InputNode.add(Iteration t, Synapse.Key key, Neuron input)
static boolean	Node.adjust(Iteration t, Neuron neuron, int dir)
double	AndNode.computeFMeasure(Node.Similarity sim, Neuron n)
static void	Node.computeRefinements(Iteration t, TreeSet<Node.RSKey> queue, Neuron n, Node.RSKey rsk, long v, List<Node.RSKey> outputs, List<Node.RSKey> cleanup)
double	OrNode.computeSynapseWeightSum(Integer offset, Neuron n)
abstract double	Node.computeSynapseWeightSum(Integer offset, Neuron n)
double	InputNode.computeSynapseWeightSum(Integer offset, Neuron n)
double	AndNode.computeSynapseWeightSum(Integer offset, Neuron n)
Synapse	AndNode.Refinement.getSynapse(Integer offset, Neuron n)
protected void	Node.prepareResultsForPredefinedNodes(Iteration t, TreeSet<Node.RSKey> queue, long v, List<Node.RSKey> outputs, List<Node.RSKey> cleanup, Neuron n, Synapse s, Integer offset)

Constructors in org.aika.lattice with parameters of type Neuron

Constructor and Description
SynapseKey(Integer rid, Neuron n)

Uses of Neuron in org.aika.neuron

Subclasses of Neuron in org.aika.neuron

Modifier and Type	Class and Description
class	InputNeuron

Fields in org.aika.neuron declared as Neuron

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

Methods in org.aika.neuron that return Neuron

Modifier and Type	Method and Description
static Neuron	Neuron.create(Iteration t, Neuron n, double bias, double negDirSum, double negRecSum, double posRecSum, Set<Synapse> inputs)
static Neuron	Neuron.read(DataInput in, Iteration t)

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

Modifier and Type	Method and Description
int	Neuron.compareTo(Neuron n)
static Neuron	Neuron.create(Iteration t, Neuron n, double bias, double negDirSum, double negRecSum, double posRecSum, Set<Synapse> inputs)

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

Constructor and Description
Synapse(Neuron input)
Synapse(Neuron input, Synapse.Key key)