classIzh Class Reference

#include <Izh_sparse_model.h>

Public Member Functions
	classIzh ()
	~classIzh ()
void	init (unsigned int)
void	allocate_device_mem_patterns ()
void	allocate_device_mem_input ()
void	copy_device_mem_input ()
void	read_sparsesyns_par (int, struct SparseProjection, FILE *, FILE *, FILE *, scalar *)
	Read sparse connectivity from a file. More...
void	gen_alltoall_syns (scalar *, unsigned int, unsigned int, scalar)
	Generate random conductivity values for an all to all network. More...
void	free_device_mem ()
void	write_input_to_file (FILE *)
void	read_input_values (FILE *)
void	create_input_values ()
void	run (double, unsigned int)
void	getSpikesFromGPU ()
	Method for copying all spikes of the last time step from the GPU. More...
void	getSpikeNumbersFromGPU ()
	Method for copying the number of spikes in all neuron populations that have occurred during the last time step. More...
void	output_state (FILE *, unsigned int)
void	output_spikes (FILE *, unsigned int)
void	output_params (FILE *, FILE *)
void	sum_spikes ()
void	setInput (unsigned int)
void	randomizeVar (scalar *, scalar, unsigned int)
void	randomizeVarSq (scalar *, scalar, unsigned int)
void	initializeAllVars (unsigned int)

Public Attributes
NNmodel	model
scalar *	input1
scalar *	input2
scalar *	d_input1
scalar *	d_input2
unsigned int	sumPExc
unsigned int	sumPInh

Constructor & Destructor Documentation

classIzh::classIzh

(

)

classIzh::~classIzh

(

)

Member Function Documentation

void classIzh::allocate_device_mem_input

(

)

void classIzh::allocate_device_mem_patterns

(

)

void classIzh::copy_device_mem_input

(

)

void classIzh::create_input_values

(

)

void classIzh::free_device_mem

(

)

void classIzh::gen_alltoall_syns	(	scalar *	g,
		unsigned int	nPre,
		unsigned int	nPost,
		scalar	gscale
	)

Generate random conductivity values for an all to all network.

Parameters

g	the resulting synaptic conductances
nPre	number of pre-synaptic neurons
nPost	number of post-synaptic neurons
gscale	the maximal conductance of generated synapses

void classIzh::getSpikeNumbersFromGPU

(

)

Method for copying the number of spikes in all neuron populations that have occurred during the last time step.

This method is a simple wrapper for the convenience function copySpikeNFromDevice() provided by GeNN.

void classIzh::getSpikesFromGPU

(

)

Method for copying all spikes of the last time step from the GPU.

This is a simple wrapper for the convenience function copySpikesFromDevice() which is provided by GeNN.

void classIzh::init

(

unsigned int

which

)

void classIzh::initializeAllVars

(

unsigned int

which

)

void classIzh::output_params	(	FILE *	f,
		FILE *	f2
	)

void classIzh::output_spikes	(	FILE *	f,
		unsigned int	which
	)

void classIzh::output_state	(	FILE *	f,
		unsigned int	which
	)

void classIzh::randomizeVar	(	scalar *	Var,
		scalar	strength,
		unsigned int	neuronGrp
	)

void classIzh::randomizeVarSq	(	scalar *	Var,
		scalar	strength,
		unsigned int	neuronGrp
	)

void classIzh::read_input_values

(

FILE *

)

void classIzh::read_sparsesyns_par	(	int	synInd,
		struct SparseProjection	C,
		FILE *	f_ind,
		FILE *	f_indInG,
		FILE *	f_g,
		scalar *	g
	)

Read sparse connectivity from a file.

Parameters

synInd	index of the synapse population to be worked on
C	contains teh arrays to be initialized from file
f_ind	file pointer for the indices of post-synaptic neurons
f_indInG	file pointer for the summed post-synaptic neurons numbers
f_g	File handle for a file containing sparse conductivity values
g	array to receive the conductance values

void classIzh::run	(	double	runtime,
		unsigned int	which
	)

void classIzh::setInput

(

unsigned int

which

)

void classIzh::sum_spikes

(

)

void classIzh::write_input_to_file

(

FILE *

f

)

Member Data Documentation

scalar* classIzh::d_input1

scalar * classIzh::d_input2

scalar* classIzh::input1

scalar * classIzh::input2

NNmodel classIzh::model

unsigned int classIzh::sumPExc

unsigned int classIzh::sumPInh

---

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

• Izh_sparse_model.h
• Izh_sparse_model.cc