//Constructor
/// <summary>
/// Creates an initialized instance
/// </summary>
/// <param name="inputEntryPoint">Input entry point coordinates within the reservoir.</param>
/// <param name="inputFieldIdx">Index of the corresponding reservoir's input field.</param>
/// <param name="inputRange">
/// Range of input value.
/// It is very recommended to have input values normalized and standardized before
/// they are passed as an input.
/// </param>
public InputNeuron(int[] inputEntryPoint, int inputFieldIdx, Interval inputRange)
{
Placement = new NeuronPlacement(-1, inputFieldIdx, -1, inputFieldIdx, 0, inputEntryPoint[0], inputEntryPoint[1], inputEntryPoint[2]);
OutputRange = inputRange.DeepClone();
Statistics = new NeuronStatistics(OutputRange);
Reset(false);
return;
}
//Constructor
/// <summary>
/// Creates an initialized instance
/// </summary>
/// <param name="placement">Home pool identificator and neuron placement within the pool.</param>
/// <param name="role">Neuron's signal role (Excitatory/Inhibitory).</param>
/// <param name="activation">Instantiated activation function.</param>
/// <param name="bias">Constant bias.</param>
public SpikingNeuron(NeuronPlacement placement,
CommonEnums.NeuronRole role,
IActivationFunction activation,
double bias
)
{
Placement = placement;
Role = role;
Bias = bias;
//Check whether function is spiking
if (activation.OutputSignalType != CommonEnums.NeuronSignalType.Spike)
{
throw new ArgumentException("Activation function is not spiking.", "activation");
}
_activation = activation;
_firingRate = new FiringRate();
Statistics = new NeuronStatistics(_activation.InternalStateRange);
Reset(false);
return;
}
//Constructor
/// <summary>
/// Creates an initialized instance
/// </summary>
/// <param name="placement">Home pool identificator and neuron placement within the pool.</param>
/// <param name="role">Neuron's signal role (Excitatory/Inhibitory).</param>
/// <param name="activation">Instantiated activation function.</param>
/// <param name="bias">Constant bias.</param>
/// <param name="retainmentRatio">Retainment ratio.</param>
public AnalogNeuron(NeuronPlacement placement,
CommonEnums.NeuronRole role,
IActivationFunction activation,
double bias,
double retainmentRatio
)
{
Placement = placement;
Role = role;
Bias = bias;
//Check whether function is analog
if (activation.OutputSignalType != CommonEnums.NeuronSignalType.Analog)
{
throw new ArgumentException("Activation function is not analog.", "activation");
}
_activation = activation;
_retainmentRatio = retainmentRatio;
Statistics = new NeuronStatistics(OutputRange);
Reset(false);
return;
}
//Constructor
/// <summary>
/// Creates an initialized instance
/// </summary>
/// <param name="placement">Home pool identificator and neuron placement within the pool.</param>
/// <param name="role">Neuron's role (Excitatory/Inhibitory).</param>
/// <param name="activation">Instantiated activation function.</param>
/// <param name="signalingRestriction">Output signaling restriction. Spiking activation causes output signal always restricted to SpikingOnly.</param>
/// <param name="predictorsCfg">Enabled/Disabled predictors for the neuron.</param>
/// <param name="bias">Constant bias to be applied.</param>
/// <param name="analogFiringThreshold">A number between 0 and 1 (LT1). Every time the new activation value is higher than the previous activation value by at least the threshold, it is evaluated as a firing event. Ignored in case of spiking activation.</param>
/// <param name="retainmentStrength">Strength of the analog neuron's retainment property. Ignored in case of spiking activation.</param>
public HiddenNeuron(NeuronPlacement placement,
NeuronCommon.NeuronRole role,
IActivationFunction activation,
NeuronCommon.NeuronSignalingRestrictionType signalingRestriction,
HiddenNeuronPredictorsSettings predictorsCfg,
double bias = 0,
double analogFiringThreshold = PoolSettings.NeuronGroupSettings.DefaultAnalogFiringThreshold,
double retainmentStrength = 0
)
{
Placement = placement;
Statistics = new NeuronStatistics();
if (role == NeuronCommon.NeuronRole.Input)
{
throw new ArgumentException("Role of the hidden neuron can not be Input.", "role");
}
Role = role;
Bias = bias;
PredictorsCfg = predictorsCfg;
//Activation specific
_activation = activation;
if (activation.TypeOfActivation == ActivationType.Spiking)
{
//Spiking
SignalingRestriction = NeuronCommon.NeuronSignalingRestrictionType.SpikingOnly;
_analogFiringThreshold = 0;
_retainmentStrength = 0;
}
else
{
//Analog
SignalingRestriction = signalingRestriction;
_analogFiringThreshold = analogFiringThreshold;
_retainmentStrength = retainmentStrength;
}
_predictors = predictorsCfg != null ? new HiddenNeuronPredictors(predictorsCfg) : null;
Reset(false);
return;
}