/// <summary>
/// This method updates the permanence matrix with a column's new permanence values. The column is identified by its index, which reflects the row in
/// the matrix, and the permanence is given in 'sparse' form, (i.e. an array whose members are associated with specific indexes). It is in charge of
/// implementing 'clipping' - ensuring that the permanence values are always between 0 and 1 - and 'trimming' - enforcing sparseness by zeroing out all
/// permanence values below 'synPermTrimThreshold'. Every method wishing to modify the permanence matrix should do so through this method.
/// </summary>
/// <param name="htmConfig"></param>
/// <param name="perm">An array of permanence values for a column. The array is "sparse", i.e. it contains an entry for each input bit, even if the permanence value is 0.</param>
/// <param name="maskPotential">Indexes of potential connections to input neurons.</param>
/// <param name="raisePerm">a boolean value indicating whether the permanence values</param>
public void UpdatePermanencesForColumnSparse(HtmConfig htmConfig, double[] perm, int[] maskPotential, bool raisePerm)
{
if (raisePerm)
{
HtmCompute.RaisePermanenceToThresholdSparse(htmConfig, perm);
}
ArrayUtils.LessOrEqualXThanSetToY(perm, htmConfig.SynPermTrimThreshold, 0);
ArrayUtils.EnsureBetweenMinAndMax(perm, htmConfig.SynPermMin, htmConfig.SynPermMax);
SetProximalPermanencesSparse(htmConfig, perm, maskPotential);
}
