/**
* Create a new synapse for this segment attached to the specified input source.
* @param inputSource: the input source of the synapse to create.
* @return the newly created synapse.
*/
Synapse* createSynapse(Segment* seg, Cell* inputSource, int initPerm) {
/*if synapse array is full, need to increase capacity to add more*/
if(seg->numSynapses == seg->allocatedSynapses) {
int newAllocation = seg->allocatedSynapses*2;
seg->synapses = realloc(seg->synapses, newAllocation * sizeof(Synapse));
seg->allocatedSynapses = newAllocation;
}
initSynapse(&seg->synapses[seg->numSynapses], inputSource, initPerm);
seg->numSynapses += 1;
return &(seg->synapses[seg->numSynapses-1]);
}
void Network::createMultiLayer(int M, int N, double weight, double parameter)
{
int nbNeurons = (M+N)*(M-N+1)/2;
createNetwork(nbNeurons);
// init neurons
_neuronParameters.fill(parameter);
// init synapses
// for all layer
for (int i=M,k=0; i>N; i--)
{
// select a neuron of this main layer
for (int j=0; j<i; j++)
{
// add synapses from neurons of the main layer to all neurons of the sub-layer
for (int l=0; l<i-1; l++)
{
initSynapse(k+j, k+i+l, weight);
}
}
k += i;
}
// input neurons
for (int i=0; i<M; i++)
{
addInput(i);
}
// output neurons
for (int i=0; i<N; i++)
{
addOutput(nbNeurons - N + i);
}
}
