/// <summary>
/// Sets the permanences for each {@link Synapse} specified by the indexes passed in which identify the input vector indexes associated with the
/// <see cref="Synapse"/>. The permanences passed in are understood to be in "sparse" format and therefore require the int array identify their
/// corresponding indexes.
/// </summary>
/// <param name="connectedCounts"></param>
/// <param name="htmConfig"></param>
/// <param name="perms">the floating point degree of connectedness</param>
/// <param name="inputIndexes"></param>
/// <remarks>
/// Note: This is the "sparse" version of this method.
/// </remarks>
public void SetPermanences(AbstractSparseBinaryMatrix connectedCounts, HtmConfig htmConfig, double[] perms, int[] inputIndexes)
{
var permConnThreshold = htmConfig.SynPermConnected;
RFPool.ResetConnections();
// c.getConnectedCounts().clearStatistics(ParentColumnIndex);
connectedCounts.ClearStatistics(0 /*this.ParentColumnIndex*/);
for (int i = 0; i < inputIndexes.Length; i++)
{
var synapse = RFPool.GetSynapseForInput(inputIndexes[i]);
synapse.Permanence = perms[i];
if (perms[i] >= permConnThreshold)
{
connectedCounts.set(1, 0 /*ParentColumnIndex*/, i);
}
}
}
public bool Equals(ProximalDendrite obj)
{
if (this == obj)
{
return(true);
}
if (obj == null)
{
return(false);
}
ProximalDendrite other = (ProximalDendrite)obj;
if (RFPool == null)
{
if (other.RFPool != null)
{
return(false);
}
}
else if (!RFPool.Equals(other.RFPool))
{
return(false);
}
if (SegmentIndex != other.SegmentIndex)
{
return(false);
}
if (Synapses == null)
{
if (other.Synapses != null)
{
return(false);
}
}
else if (!Synapses.SequenceEqual(other.Synapses))
{
return(false);
}
//if (boxedIndex == null)
//{
// if (other.boxedIndex != null)
// return false;
//}
//else if (!boxedIndex.Equals(other.boxedIndex))
// return false;
if (SynapsePermConnected != other.SynapsePermConnected)
{
return(false);
}
if (NumInputs != other.NumInputs)
{
return(false);
}
return(true);
}
