public static Synapse Connect(Neuron n1, Neuron n2, float weight, int delay, ILearningRule learningRule)
{
Synapse syn = new Synapse(n1, n2, weight, delay, learningRule.GetCopy());
n1.AddPostSynapse(syn);
n2.AddPreSynapse(syn);
return(syn);
}
public static void MakeConnection(Group sourceGroup, Group destinationGroup, float weight, int delay,
ConnectionPatternDelegate connectionPattern,
ILearningRule learningRule)
{
for (int i = 0; i < sourceGroup.Count; i++)
{
for (int j = 0; j < destinationGroup.Count; j++)
{
if (connectionPattern(i, j))
{
Synapse syn = new Synapse(sourceGroup[i], destinationGroup[j],
weight, delay, learningRule.GetCopy());
sourceGroup[i].AddPostSynapse(syn);
destinationGroup[j].AddPreSynapse(syn);
}
}
}
}
public static void MakeSharedConnection(Group sourceGroup, Group destinationGroup,
ConnectionPatternDelegate connectionPattern, List <SynapseCore> synapseCores)
{
int coreIdx = 0;
for (int i = 0; i < destinationGroup.Count; i++)
{
for (int j = 0; j < sourceGroup.Count; j++)
{
if (connectionPattern(j, i))
{
Synapse syn = new Synapse(sourceGroup[j], destinationGroup[i], synapseCores[coreIdx]);
sourceGroup[j].AddPostSynapse(syn);
destinationGroup[i].AddPreSynapse(syn);
coreIdx++;
}
}
}
}
public static void MakeRandomValueConnection(Group sourceGroup, Group destinationGroup,
float minWeight, float maxWeight, int minDelay, int maxDelay,
ConnectionPatternDelegate connectionPattern, ILearningRule learningRule)
{
float range = maxWeight - minWeight;
for (int i = 0; i < sourceGroup.Count; i++)
{
for (int j = 0; j < destinationGroup.Count; j++)
{
if (connectionPattern(i, j))
{
float randWeight = (float)rand.NextDouble() * range + minWeight;
int randDelay = rand.Next(minDelay, maxDelay + 1);
Synapse syn = new Synapse(sourceGroup[i], destinationGroup[j],
randWeight, randDelay, learningRule.GetCopy());
sourceGroup[i].AddPostSynapse(syn);
destinationGroup[j].AddPreSynapse(syn);
}
}
}
}
/// <summary>
/// Adds a new post synapse.
/// </summary>
/// <param name="postSynapse">Synapse information</param>
public void AddPostSynapse(Synapse postSynapse)
{
postSynapses.Add(postSynapse);
}
/// <summary>
/// Adds a new pre synapse.
/// </summary>
/// <param name="preSynapse">Synapse information</param>
public void AddPreSynapse(Synapse preSynapse)
{
preSynapses.Add(preSynapse);
}
public SynapseStatistics(Synapse targetSynapse)
{
this.synapse = targetSynapse;
}
public void ApplyLearningRule(Synapse synapse)
{
float dW = learningRule.GetWeightChange(synapse);
Weight += dW;
}
