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);
}
}
}
}