/// <summary>
/// Resets all associated input neurons to initial state
/// </summary>
/// <param name="statistics">Specifies whether to reset internal statistics of the associated neurons</param>
public void ResetNeurons(bool statistics)
{
_realSpikeCode?.Reset();
AnalogNeuron.Reset(statistics);
for (int i = 0; i < SpikingNeuronCollection.Length; i++)
{
SpikingNeuronCollection[i].Reset(statistics);
}
return;
}
/// <summary>
/// Fetches the next piece of current data.
/// </summary>
/// <param name="collectStatistics">Specifies whether to update internal statistics of input neurons.</param>
public bool Fetch(bool collectStatistics)
{
if (_currentDataIdx == 0 || (_spikesEncoder.Regime == InputEncoder.InputSpikesCoding.Vertical && _currentDataIdx < _spikesEncoder.LargestComponentLength))
{
switch (_spikesEncoder.Regime)
{
case InputEncoder.InputSpikesCoding.Horizontal:
{
//Analog neuron
AnalogNeuron.NewStimulation(_iAnalogStimuli, 0d);
AnalogNeuron.Recompute(collectStatistics);
//Spiking neurons
for (int i = 0; i < SpikingNeuronCollection.Length; i++)
{
SpikingNeuronCollection[i].NewStimulation(_spikesEncoder.AllSpikesFlatCollection[i], 0d);
SpikingNeuronCollection[i].Recompute(collectStatistics);
}
}
break;
case InputEncoder.InputSpikesCoding.Vertical:
{
//Analog neuron
AnalogNeuron.NewStimulation(_iAnalogStimuli, 0d);
AnalogNeuron.Recompute(collectStatistics);
//Spiking neurons
for (int i = 0; i < _spikesEncoder.ComponentSpikesCollection.Length; i++)
{
SpikingNeuronCollection[i].NewStimulation(_spikesEncoder.ComponentSpikesCollection[i][_currentDataIdx], 0d);
SpikingNeuronCollection[i].Recompute(collectStatistics);
}
}
break;
default:
//Only analog neuron
AnalogNeuron.NewStimulation(_iAnalogStimuli, 0d);
AnalogNeuron.Recompute(collectStatistics);
break;
}
++_currentDataIdx;
return(true);
}
return(false);
}
/// <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;
}