Spike::PIFAC Class Reference

Implement a perfect integrate-and-fire neuron with an adaptation current (PIFAC). More...

#include <IFAC.h>

Public Member Functions
	PIFAC (double mu, double D, double tau_a, double Delta)
	Construct PIFAC from parameters.
	PIFAC (const std::string &input_file)
	Construct PIFAC from .ini file.
double	drift (double v) const override
	Returns drift of the PIFAC neuron, i.e. mu.
void	print (std::ostream &out) const override
	Prints the PIFAC neuron to out stream.
Public Member Functions inherited from Spike::IFAC
	IFAC (const std::string &input_file)
	Construct IFAC from .ini file.
	IFAC (double mu, double D, double tau_a, double Delta)
	Construct IFAC from given parameters.
void	get_spikes (SpikeTrain &spike_train) override
	Obtains spikes by integrating the Langevin equation using an Euler-Maruyama scheme.
void	get_spikes (Signal &signal, SpikeTrain &spike_train) override
	Obtains spikes by integrating the Langevin equation using an Euler-Maruyama scheme. Neuron is subject to an applied signal.
void	get_voltage_curve (const TimeFrame &time, std::vector< double > &v, std::vector< double > &a)
	Calculates the trajectory, i.e. v(t) and a(t) for a given time frame.
void	set_tau_a (double tau_a_new)
	Sets a new adaptation time constant.
void	set_Delta (double Delta_new)
	Sets a new kick size.
Public Member Functions inherited from Spike::IF
	IF (const std::string &input_file)
	Constructs an IF neuron from a .ini file.
	IF (double mu, double D)
	Construct an IF neuron from given parameters.
double	diffusion () const
	Calculates the diffusion of the IF neurons, i.e. sqrt(2D).
void	get_voltage_curve (const TimeFrame &time, std::vector< double > &v)
	Calculates the trajectory, i.e. v(t) for a given time frame.
void	set_mu (double mu_new)
	Set new mean input current.
void	set_D (double D_new)
	Set new diffusion coefficient.
double	get_D () const
	Returns the diffusion coefficient.

Additional Inherited Members
Protected Attributes inherited from Spike::IFAC
double	tau_a
	adaptation time constant
double	Delta
	kick size of the adaptation
Protected Attributes inherited from Spike::IF
double	mu
	mean input current
double	D
	diffusion coefficient
std::random_device	rd
	random device (seeding)
std::mt19937	generator
	random number generator
std::normal_distribution< double >	dist
	normal distribution

Detailed Description

Implement a perfect integrate-and-fire neuron with an adaptation current (PIFAC).

Constructor & Destructor Documentation

PIFAC() [1/2]

Spike::PIFAC::PIFAC	(	double	mu,
		double	D,
		double	tau_a,
		double	Delta )

Construct PIFAC from parameters.

Parameters

mu	Mean input current
D	Diffusion coefficient
tau_a	adaptation time constant
Delta	kick size

PIFAC() [2/2]

Spike::PIFAC::PIFAC ( const std::string & input_file )

explicit

Construct PIFAC from .ini file.

Parameters

input_file

Path to .ini file.

Member Function Documentation

drift()

double Spike::PIFAC::drift ( double v ) const

overridevirtual

Returns drift of the PIFAC neuron, i.e. mu.

Parameters

v

Voltage

Returns

Drift of PIFAC, i.e. mu

Implements Spike::IF.

print()

void Spike::PIFAC::print ( std::ostream & out ) const

inlineoverridevirtual

Prints the PIFAC neuron to out stream.

Parameters

out	out stream

Implements Spike::IF.

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The documentation for this class was generated from the following files:

• /github/workspace/Spike/Neuron/IFAC.h
• /github/workspace/Spike/Neuron/IFAC.cpp