public void CreateBasalSynapses(List <Column> potentialColumns, double zoneCoveragePerc)
{
zoneCoveragePerc = zoneCoveragePerc < 0 ? 1.0 : zoneCoveragePerc;
//create random list of columns to connect
int numSynapsesRequired = (int)(potentialColumns.Count * zoneCoveragePerc);
int numNewSynapses = numSynapsesRequired - BasalDendrite.Synapses.Count;
if (numNewSynapses > 0) //add synapses
{
//remove columns already connected from the potential list
List <Column> alreadyConnected = BasalDendrite.GetConnectedColumnsList();
potentialColumns.RemoveAll(x => alreadyConnected.Contains(x));
IEnumerable <Column> connectColumns = potentialColumns.RandomSample(numNewSynapses, false);
foreach (Column col in connectColumns)
{
BasalDendrite.CreateSynapse(col);
}
}
if (numNewSynapses < 0) //remove synapses
{
while (BasalDendrite.Synapses.Count > 0 && BasalDendrite.Synapses.Count > numSynapsesRequired)
{
//remove random synapse
BasalDendrite.RemoveSynapseAt(Global.rnd.Next(BasalDendrite.Synapses.Count));
}
}
}
public void OverridePredicting(bool predicting, int depth)
{
IsPredicting = predicting;
if (depth < Global.OVERRIDE_DEPTH)
{
BasalDendrite.Override(predicting, depth);
}
}
//Main function to update all cell states
public void Update()
{
BasalDendrite.Update();
IsPredicting = BasalDendrite.IsActive;
}
public void OverrideBasalDendriteActivationThreshold(int threshold)
{
BasalDendrite.OverrideActivationThreshold(threshold);
}
public int CountActiveBasalSynapses()
{
return(BasalDendrite.CountActiveSynapses());
}
public int CountBasalSynapses()
{
return(BasalDendrite.CountSynapses());
}