/// <summary>
/// Sets the input field's new data.
/// </summary>
/// <param name="value">The value.</param>
public void SetNewData(double value)
{
_iAnalogStimuli = _featureFilter.ApplyFilter(value);
_currentDataIdx = 0;
_spikesEncoder.Encode(_iAnalogStimuli);
return;
}
/// <summary>
/// Prepares input neurons to provide new incoming data.
/// </summary>
/// <param name="value">External natural input data</param>
/// <param name="collectStatistics">Specifies whether to update internal statistics of associated input neurons</param>
public void SetNewData(double value, bool collectStatistics)
{
double iStimuli = _featureFilter.ApplyFilter(value);
//Analog neuron
AnalogNeuron.NewStimulation(iStimuli, 0d);
AnalogNeuron.Recompute(collectStatistics);
//Spiking neurons
switch (_featureFilter.Type)
{
case FeatureFilterBase.FeatureType.Real:
{
_realSpikeCode.Encode(iStimuli);
for (int i = 0; i < SpikingNeuronCollection.Length; i++)
{
SpikingNeuronCollection[i].NewStimulation(_realSpikeCode.Code[i], 0d);
SpikingNeuronCollection[i].Recompute(collectStatistics);
}
}
break;
case FeatureFilterBase.FeatureType.Binary:
{
SpikingNeuronCollection[0].NewStimulation(value, 0d);
SpikingNeuronCollection[0].Recompute(collectStatistics);
}
break;
case FeatureFilterBase.FeatureType.Enum:
{
int neuronIdx = ((int)Math.Round(value, 0)) - 1;
for (int i = 0; i < SpikingNeuronCollection.Length; i++)
{
double spikeVal = i == neuronIdx ? 1d : 0d;
SpikingNeuronCollection[i].NewStimulation(spikeVal, 0d);
SpikingNeuronCollection[i].Recompute(collectStatistics);
}
}
break;
}
return;
}