//Constructors
/// <summary>
/// Creates an initialized instance
/// </summary>
/// <param name="stimuliCoeff">Input stimuli coefficient (pA)</param>
/// <param name="role">Role of the neuron (excitatory or inhibitory)</param>
/// <param name="refractoryPeriods">Number of after spike computation cycles while an input stimuli is ignored (ms)</param>
/// <param name="solverMethod">ODE numerical solver method</param>
/// <param name="solverCompSteps">ODE numerical solver computation steps of the time step</param>
public AutoIzhikevichIFSettings(double stimuliCoeff,
CommonEnums.NeuronRole role,
int refractoryPeriods,
ODENumSolver.Method solverMethod,
int solverCompSteps
)
{
StimuliCoeff = stimuliCoeff;
Role = role;
RefractoryPeriods = refractoryPeriods;
SolverMethod = solverMethod;
SolverCompSteps = solverCompSteps;
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;
}
