/// <summary>
/// Prepares and stores transmission signal
/// </summary>
public void PrepareTransmissionSignal()
{
_transmissionSignal = _signal;
TransmissionSignalStat.AddSampleValue(_transmissionSignal);
TransmissionFreqStat.AddSampleValue((_transmissionSignal == 0) ? 0 : 1);
return;
}
/// <summary>
/// Prepares and stores transmission signal
/// </summary>
public void PrepareTransmissionSignal()
{
_transmissionSignal = _spike;
TransmissionSignalStat.AddSampleValue(_transmissionSignal);
TransmissionFreqStat.AddSampleValue((_transmissionSignal == 0) ? 0 : 1);
//Primary readout
_readout = _firingRate.GetRate();
return;
}
/// <summary>
/// Computes the neuron.
/// </summary>
/// <param name="stimuli">Input stimulation</param>
/// <param name="collectStatistics">Specifies whether to update internal statistics</param>
public void Compute(double stimuli, bool collectStatistics)
{
stimuli = stimuli.Bound();
if (collectStatistics)
{
StimuliStat.AddSampleValue(stimuli);
}
_signal = stimuli;
TransmissionFreqStat.AddSampleValue((_signal == 0) ? 0 : 1);
return;
}
//Methods
/// <summary>
/// Resets the neuron to its initial state
/// </summary>
/// <param name="statistics">Specifies whether to reset also internal statistics</param>
public void Reset(bool statistics)
{
_activation.Reset();
_state = 0;
_rescaledState = 0;
_transmissionSignal = 0;
if (statistics)
{
StimuliStat.Reset();
StatesStat.Reset();
TransmissionSignalStat.Reset();
TransmissionFreqStat.Reset();
}
return;
}
