Package network.aika.utils

Class TestUtils

java.lang.Object

network.aika.utils.TestUtils

public class TestUtils
extends Object

Author:

Lukas Molzberger

Constructor Summary

Constructors

Constructor	Description
TestUtils()

Method Summary

Modifier and Type	Method	Description
static <N extends Neuron> N	createNeuron(Neuron templateNeuron, String label)
static <N extends Neuron> N	createNeuron(Neuron templateNeuron, String label, boolean inputNeuron)
static <S extends Synapse> S	createPositiveFeedbackSynapse(PositiveFeedbackSynapse templateSynapse, PatternNeuron input, BindingNeuron output, double weight, double feedbackWeight)
static <S extends Synapse> S	createSynapse(Synapse templateSynapse, Neuron input, Neuron output, double weight)
static Config	getConfig()
static CategoryNeuron	initCategory(Templates t, String label, PatternNeuron... inputPatterns)
static InhibitoryNeuron	initInhibitoryLoop(Templates t, String label, BindingNeuron... bns)
static PatternNeuron	initPatternLoop(Templates t, String label, BindingNeuron... bns)
static void	setStatistic(Neuron n, double frequency, int N, long lastPosition)
static void	updateBias(Neuron n, double bias)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

TestUtils

public TestUtils()

Method Details

getConfig

public static Config getConfig()

initCategory

public static CategoryNeuron initCategory(Templates t,
 String label,
 PatternNeuron... inputPatterns)

initInhibitoryLoop

public static InhibitoryNeuron initInhibitoryLoop(Templates t,
 String label,
 BindingNeuron... bns)

initPatternLoop

public static PatternNeuron initPatternLoop(Templates t,
 String label,
 BindingNeuron... bns)

createNeuron

public static <N extends Neuron> N createNeuron(Neuron templateNeuron,
 String label,
 boolean inputNeuron)

createNeuron

public static <N extends Neuron> N createNeuron(Neuron templateNeuron,
 String label)

updateBias

public static void updateBias(Neuron n,
 double bias)

createPositiveFeedbackSynapse

public static <S extends Synapse> S createPositiveFeedbackSynapse(PositiveFeedbackSynapse templateSynapse,
 PatternNeuron input,
 BindingNeuron output,
 double weight,
 double feedbackWeight)

createSynapse

public static <S extends Synapse> S createSynapse(Synapse templateSynapse,
 Neuron input,
 Neuron output,
 double weight)

setStatistic

public static void setStatistic(Neuron n,
 double frequency,
 int N,
 long lastPosition)