Spike::IFAC Class Reference

An abstract base class for integrate-and-fire neurons with an adaptation current. More...

#include <IFAC.h>

Public Member Functions
	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.
virtual double	drift (double v) const =0
	Calculates the drift of the IF neuron.
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.
virtual void	print (std::ostream &out) const =0
	Prints the IF neuron to the outstream.

Protected Attributes
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

An abstract base class for integrate-and-fire neurons with an adaptation current.

Constructor & Destructor Documentation

IFAC() [1/2]

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

explicit

Construct IFAC from .ini file.

Parameters

input_file

Path to .ini file.

IFAC() [2/2]

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

Construct IFAC from given parameters.

Parameters

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

Member Function Documentation

get_spikes() [1/2]

void Spike::IFAC::get_spikes ( Signal & signal, SpikeTrain & spike_train )

overridevirtual

Obtains spikes by integrating the Langevin equation using an Euler-Maruyama scheme. Neuron is subject to an applied signal.

Parameters

signal	Signal
spike_train	Spike train

Reimplemented from Spike::IF.

get_spikes() [2/2]

void Spike::IFAC::get_spikes ( SpikeTrain & spike_train )

overridevirtual

Obtains spikes by integrating the Langevin equation using an Euler-Maruyama scheme.

Parameters

spike_train

Spike train

Reimplemented from Spike::IF.

get_voltage_curve()

void Spike::IFAC::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.

Parameters

time	Time frame
v	Voltage array
a	Adaptation variable array

set_Delta()

void Spike::IFAC::set_Delta ( double Delta_new )

inline

Sets a new kick size.

Parameters

Delta_new

new kick size

set_tau_a()

void Spike::IFAC::set_tau_a ( double tau_a_new )

inline

Sets a new adaptation time constant.

Parameters

tau_a_new

new adaptation time constant

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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