//Methods
/// <summary>
/// Resets the neuron to its initial state
/// </summary>
/// <param name="resetStatistics">Specifies whether to reset internal statistics</param>
public void Reset(bool resetStatistics)
{
_signal = 0;
if (resetStatistics)
{
StimuliStat.Reset();
}
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);
}
_signalConverter.EncodeAnalogValue(stimuli);
return;
}
//Constructor
/// <summary>
/// Creates an unitialized instance.
/// </summary>
/// <param name="groupName">The name of the group.</param>
public NeuronGroupStat(string groupName)
{
GroupName = groupName;
NumOfNeurons = 0;
Activation = new StandardStatSet();
Stimuli = new StimuliStat();
Synapses = new SynapsesByRoleStat();
Signal = new SignalStat();
NeuronsAnomalies = new NeuronsAnomaliesStat();
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;
}
/// <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 + Bias).Bound();
if (collectStatistics)
{
StimuliStat.AddSampleValue(stimuli);
}
//State and signal
_signal = (_retainmentRatio * _state) + (1d - _retainmentRatio) * _activation.Compute(stimuli);
_state = _signal;
//Compute rescaled state
_rescaledState = _rescalledStateRange.Rescale(_state, _activation.InternalStateRange);
//Statistics
if (collectStatistics)
{
StatesStat.AddSampleValue(_rescaledState);
}
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 + Bias).Bound();
if (collectStatistics)
{
StimuliStat.AddSampleValue(stimuli);
}
//State and spike
_spike = _activation.Compute(stimuli);
_state = _activation.InternalState;
_firingRate.Update(_spike > 0);
//Compute rescaled state
_rescaledState = _rescalledStateRange.Rescale(_state, _activation.InternalStateRange);
//Statistics
if (collectStatistics)
{
StatesStat.AddSampleValue(_rescaledState);
}
return;
}