Spike::SusceptibilitySimulationNonlin Class Reference

A simulation where we measure the nonlinear (second order) susceptibility of an integrate-and-fire neuron. More...

#include <SusceptibilitySimulationNonlin.h>

Public Member Functions
	SusceptibilitySimulationNonlin (const std::string &input_file)
	Constructs susceptibility simulation from .ini file.
void	calculate (size_t trials) override
	Calculates the nonlinear susceptibility for a given number of trials. Each time the white noise signal is generated again, the neuron produces a new spike train and the susceptibility is calculated. The result is then added (!) to the susceptibility matrix suscept_nonlin.
void	add_to_suscepts (const std::vector< std::vector< std::complex< double > > > &tmp_nonlin)
	Adds the susceptibility matrix tmp_nonlin to suscept_nonlin.
size_t	get_size_nonlin () const
	Returns the size of the susceptibility matrix.
const std::vector< std::vector< std::complex< double > > > &	get_suscept_nonlin () const
	Returns the susceptibility matrix.
Public Member Functions inherited from Spike::SusceptibilitySimulation
	SusceptibilitySimulation (const std::string &input_file)
	Constructs susceptibility simulation from .ini file.
void	set_c (double c_new)
	Sets a new noise split coefficient.
size_t	get_N_neurons () const
	Returns the number of neurons (trials) for this simulation.
const TimeFrame &	get_time_frame () const
	Returns the time frame.

Additional Inherited Members
Protected Attributes inherited from Spike::SusceptibilitySimulation
TimeFrame	time_frame
	time frame
SpikeTrain	spike_train
	spike train
WhiteNoiseSignal	signal
	white noise signal
std::unique_ptr< IF >	neuron
	neuron
size_t	N_neurons
	number of neurons (trials)
double	c
	noise split coefficient
double	D
	total noise intensity

Detailed Description

A simulation where we measure the nonlinear (second order) susceptibility of an integrate-and-fire neuron.

Constructor & Destructor Documentation

SusceptibilitySimulationNonlin()

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

explicit

Constructs susceptibility simulation from .ini file.

Parameters

input_file

path to .ini file

Member Function Documentation

add_to_suscepts()

void Spike::SusceptibilitySimulationNonlin::add_to_suscepts

(

const std::vector< std::vector< std::complex< double > > > &

tmp_nonlin

)

Adds the susceptibility matrix tmp_nonlin to suscept_nonlin.

Parameters

tmp_nonlin

susceptibility matrix

calculate()

void Spike::SusceptibilitySimulationNonlin::calculate ( size_t trials )

overridevirtual

Calculates the nonlinear susceptibility for a given number of trials. Each time the white noise signal is generated again, the neuron produces a new spike train and the susceptibility is calculated. The result is then added (!) to the susceptibility matrix suscept_nonlin.

Parameters

trials

number of trials.

Implements Spike::SusceptibilitySimulation.

get_size_nonlin()

size_t Spike::SusceptibilitySimulationNonlin::get_size_nonlin ( ) const

inline

Returns the size of the susceptibility matrix.

Returns

size of susceptibility matrix

get_suscept_nonlin()

const std::vector< std::vector< std::complex< double > > > & Spike::SusceptibilitySimulationNonlin::get_suscept_nonlin ( ) const

inline

Returns the susceptibility matrix.

Returns

susceptibility matrix

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

• /github/workspace/Spike/Simulation/SusceptibilitySimulationNonlin.h
• /github/workspace/Spike/Simulation/SusceptibilitySimulationNonlin.cpp