//Constructor
/// <summary>
/// Creates an initialized instance
/// </summary>
/// <param name="sourceNeuron">Source neuron</param>
/// <param name="dynamicsCfg">Dynamics configuration</param>
public LinearEfficacy(INeuron sourceNeuron, LinearDynamicsSettings dynamicsCfg)
{
_sourceNeuronOutputData = sourceNeuron.OutputData;
_dynamicsCfg = (LinearDynamicsSettings)dynamicsCfg.DeepClone();
Reset();
return;
}
//Constructor
/// <summary>
/// Creates an initialized instance.
/// </summary>
/// <param name="presynapticNeuron">The presynaptic neuron.</param>
/// <param name="dynamicsCfg">The configuration of the dynamics.</param>
public NonlinearEfficacy(INeuron presynapticNeuron, NonlinearDynamicsSettings dynamicsCfg)
{
_presynapticNeuronOutputData = presynapticNeuron.OutputData;
_dynamicsCfg = (NonlinearDynamicsSettings)dynamicsCfg.DeepClone();
Reset();
return;
}
//Constructor
/// <summary>
/// Creates initialized instance
/// </summary>
/// <param name="sourceNeuron">Source neuron</param>
/// <param name="targetNeuron">Target neuron</param>
/// <param name="role">Synapse role</param>
/// <param name="synapseCfg">Synapse general configuration</param>
/// <param name="rand">Random object</param>
public Synapse(INeuron sourceNeuron,
INeuron targetNeuron,
SynRole role,
SynapseSettings synapseCfg,
Random rand
)
{
//Neurons to be connected
SourceNeuron = sourceNeuron;
TargetNeuron = targetNeuron;
//Synapse role
Role = role;
//Euclidean distance
Distance = EuclideanDistance.Compute(SourceNeuron.Location.ReservoirCoordinates, TargetNeuron.Location.ReservoirCoordinates);
//The rest
_efficacyComputer = null;
if (TargetNeuron.TypeOfActivation == ActivationType.Spiking)
{
//Spiking target
if (Role == SynRole.Input)
{
DelayMethod = synapseCfg.SpikingTargetCfg.InputSynCfg.DelayMethod;
_maxDelay = synapseCfg.SpikingTargetCfg.InputSynCfg.MaxDelay;
if (SourceNeuron.TypeOfActivation == ActivationType.Analog)
{
//Analog source
Weight = rand.NextDouble(synapseCfg.SpikingTargetCfg.InputSynCfg.AnalogSourceCfg.WeightCfg);
}
else
{
//Spiking source
Weight = rand.NextDouble(synapseCfg.SpikingTargetCfg.InputSynCfg.SpikingSourceCfg.WeightCfg);
_efficacyComputer = PlasticityCommon.GetEfficacyComputer(SourceNeuron,
synapseCfg.SpikingTargetCfg.InputSynCfg.SpikingSourceCfg.PlasticityCfg.DynamicsCfg
);
}
}
else if (Role == SynRole.Excitatory)
{
DelayMethod = synapseCfg.SpikingTargetCfg.ExcitatorySynCfg.DelayMethod;
_maxDelay = synapseCfg.SpikingTargetCfg.ExcitatorySynCfg.MaxDelay;
if (SourceNeuron.TypeOfActivation == ActivationType.Analog)
{
//Analog source
Weight = rand.NextDouble(synapseCfg.SpikingTargetCfg.ExcitatorySynCfg.AnalogSourceCfg.WeightCfg);
}
else
{
//Spiking source
Weight = rand.NextDouble(synapseCfg.SpikingTargetCfg.ExcitatorySynCfg.SpikingSourceCfg.WeightCfg);
_efficacyComputer = PlasticityCommon.GetEfficacyComputer(SourceNeuron,
synapseCfg.SpikingTargetCfg.ExcitatorySynCfg.SpikingSourceCfg.PlasticityCfg.DynamicsCfg
);
}
}
else if (Role == SynRole.Inhibitory)
{
DelayMethod = synapseCfg.SpikingTargetCfg.InhibitorySynCfg.DelayMethod;
_maxDelay = synapseCfg.SpikingTargetCfg.InhibitorySynCfg.MaxDelay;
if (SourceNeuron.TypeOfActivation == ActivationType.Analog)
{
//Analog source
Weight = -rand.NextDouble(synapseCfg.SpikingTargetCfg.InhibitorySynCfg.AnalogSourceCfg.WeightCfg);
}
else
{
//Spiking source
Weight = -rand.NextDouble(synapseCfg.SpikingTargetCfg.InhibitorySynCfg.SpikingSourceCfg.WeightCfg);
_efficacyComputer = PlasticityCommon.GetEfficacyComputer(SourceNeuron,
synapseCfg.SpikingTargetCfg.InhibitorySynCfg.SpikingSourceCfg.PlasticityCfg.DynamicsCfg
);
}
}
else
{
throw new ArgumentException($"Invalid synapse role {role}.", "role");
}
}
else
{
//Analog target
if (Role == SynRole.Input)
{
DelayMethod = synapseCfg.AnalogTargetCfg.InputSynCfg.DelayMethod;
_maxDelay = synapseCfg.AnalogTargetCfg.InputSynCfg.MaxDelay;
if (SourceNeuron.TypeOfActivation == ActivationType.Analog)
{
//Analog source
Weight = rand.NextDouble(synapseCfg.AnalogTargetCfg.InputSynCfg.AnalogSourceCfg.WeightCfg);
}
else
{
//Spiking source
Weight = rand.NextSign() * rand.NextDouble(synapseCfg.AnalogTargetCfg.InputSynCfg.SpikingSourceCfg.WeightCfg);
_efficacyComputer = PlasticityCommon.GetEfficacyComputer(SourceNeuron,
synapseCfg.AnalogTargetCfg.InputSynCfg.SpikingSourceCfg.PlasticityCfg.DynamicsCfg
);
}
}
else if (Role == SynRole.Indifferent)
{
DelayMethod = synapseCfg.AnalogTargetCfg.IndifferentSynCfg.DelayMethod;
_maxDelay = synapseCfg.AnalogTargetCfg.IndifferentSynCfg.MaxDelay;
if (SourceNeuron.TypeOfActivation == ActivationType.Analog)
{
//Analog source
Weight = rand.NextSign() * rand.NextDouble(synapseCfg.AnalogTargetCfg.IndifferentSynCfg.AnalogSourceCfg.WeightCfg);
}
else
{
//Spiking source
Weight = rand.NextSign() * rand.NextDouble(synapseCfg.AnalogTargetCfg.IndifferentSynCfg.SpikingSourceCfg.WeightCfg);
_efficacyComputer = PlasticityCommon.GetEfficacyComputer(SourceNeuron,
synapseCfg.AnalogTargetCfg.IndifferentSynCfg.SpikingSourceCfg.PlasticityCfg.DynamicsCfg
);
}
}
else
{
throw new ArgumentException($"Invalid synapse role {role}.", "role");
}
}
//Source neuron - output data and signal index
_sourceNeuronOutputData = SourceNeuron.OutputData;
_analogSourceSignal = TargetNeuron.TypeOfActivation == ActivationType.Analog;
//Efficacy statistics
EfficacyStat = new BasicStat(false);
Reset(true);
return;
}
