//Methods
/// <summary>
/// Resets synapse.
/// </summary>
/// <param name="statistics">Specifies whether to reset also internal statistics</param>
public void Reset(bool statistics)
{
_facilitation = _restingEfficacy;
_depression = 1d;
if (statistics)
{
EfficacyStat.Reset();
}
return;
}
//Constructor
/// <summary>
/// Creates initialized instance
/// </summary>
/// <param name="sourceNeuron">Source neuron</param>
/// <param name="targetNeuron">Target neuron</param>
/// <param name="weight">Synapse weight</param>
public StaticSynapse(INeuron sourceNeuron,
INeuron targetNeuron,
double weight
)
: base(sourceNeuron, targetNeuron, weight)
{
_signalQueue = null;
//Initialize efficacy stat to constant 1 (static synapse has always efficacy 1)
EfficacyStat.AddSampleValue(1d);
return;
}
//Methods
/// <summary>
/// Resets synapse.
/// </summary>
/// <param name="statistics">Specifies whether to reset also internal statistics</param>
public void Reset(bool statistics)
{
//Reset queue if it is instantiated
_signalQueue?.Reset();
if (statistics)
{
EfficacyStat.Reset();
EfficacyStat.AddSampleValue(1d);
}
return;
}
//Methods
/// <summary>
/// Resets synapse.
/// </summary>
/// <param name="statistics">Specifies whether to reset also internal statistics</param>
public void Reset(bool statistics)
{
//Reset queue if it is instantiated
_signalQueue?.Reset();
_efficacyUtilization = _restingEfficacy;
_efficacyAvailableFraction = 1;
if (statistics)
{
EfficacyStat.Reset();
}
return;
}
/// <summary>
/// Returns signal to be delivered to target neuron.
/// </summary>
/// <param name="collectStatistics">Specifies whether to update internal statistics</param>
public double GetSignal(bool collectStatistics)
{
//Source neuron signal
double sourceSignal = SourceNeuron.GetSignal(TargetNeuron.TypeOfActivation);
if (sourceSignal == 0)
{
return(0);
}
else
{
//Compute synapse efficacy
double efficacy = ComputeEfficacy();
//Update statistics if necessary
if (collectStatistics)
{
EfficacyStat.AddSampleValue(efficacy);
}
//Return resulting signal
return(sourceSignal * Weight * efficacy);
}
}
/// <summary>
/// Returns signal to be delivered to target neuron.
/// Note that this function has to be invoked only once per reservoir cycle !!!
/// </summary>
/// <param name="collectStatistics">Specifies whether to update internal statistics</param>
public double GetSignal(bool collectStatistics)
{
//Source neuron signal
double sourceSignal = SourceNeuron.OutputSignal;
if (_signalQueue == null)
{
//No delay of the signal - do not use queue
if (sourceSignal == 0)
{
//No source signal so simply return 0
return(0);
}
else
{
//Compute synapse efficacy
double efficacy = GetPreSynapticEfficacy() * GetPostSynapticEfficacy();
//Update statistics if necessary
if (collectStatistics)
{
EfficacyStat.AddSampleValue(efficacy);
}
//Return resulting signal
return(sourceSignal * Weight * efficacy);
}
}
else
{
//Signal to be delayed so use queue
if (sourceSignal == 0)
{
//No signal adjustments
Signal sigObj = _signalQueue.GetElementOnEnqueuePosition();
if (sigObj != null)
{
sigObj._weightedSignal = 0d;
sigObj._preSynapticEfficacy = 1d;
}
else
{
sigObj = new Signal {
_weightedSignal = 0d, _preSynapticEfficacy = 1d
};
}
_signalQueue.Enqueue(sigObj);
}
else
{
//Signal to be delayed
Signal sigObj = _signalQueue.GetElementOnEnqueuePosition();
//Compute pre-synaptic efficacy
double preSynapticEfficacy = GetPreSynapticEfficacy();
//Compute constantly weighted signal and pre-synaptic part of efficacy and put them into the queue simulating the signal traveling
if (sigObj != null)
{
sigObj._weightedSignal = ((SourceNeuron.OutputSignal + _add) / _div) * Weight;
sigObj._preSynapticEfficacy = preSynapticEfficacy;
}
else
{
sigObj = new Signal {
_weightedSignal = ((SourceNeuron.OutputSignal + _add) / _div) * Weight, _preSynapticEfficacy = preSynapticEfficacy
};
}
_signalQueue.Enqueue(sigObj);
}
//Is there delayed signal to be delivered?
if (_signalQueue.Full)
{
//Queue is full, so synapse is ready to deliver delayed signal
//Pick up source signal and pre-synaptic part of efficacy
Signal sigObj = _signalQueue.Dequeue();
if (sigObj._weightedSignal == 0)
{
//No need of signal adjustment
return(0);
}
else
{
//Compute resulting efficacy
double efficacy = sigObj._preSynapticEfficacy * GetPostSynapticEfficacy();
//Update statistics if required
if (collectStatistics)
{
EfficacyStat.AddSampleValue(efficacy);
}
//Deliver the resulting signal
return(sigObj._weightedSignal * efficacy);
}
}
else
{
//No signal to be delivered, signal is still "on the road"
return(0);
}
}
}
