modelSpec.h File Reference

Header file that contains the class (struct) definition of neuronModel for defining a neuron model and the class definition of NNmodel for defining a neuronal network model. Part of the code generation and generated code sections. More...

#include "neuronGroup.h"
#include "synapseGroup.h"
#include "currentSource.h"
#include "utils.h"
#include <map>
#include <set>
#include <string>
#include <vector>

Go to the source code of this file.

Classes
class	NNmodel

Macros
#define	_MODELSPEC_H_
	macro for avoiding multiple inclusion during compilation More...
#define	NO_DELAY   0
	Macro used to indicate no synapse delay for the group (only one queue slot will be generated) More...
#define	NOLEARNING   0
	Macro attaching the label "NOLEARNING" to flag 0. More...
#define	LEARNING   1
	Macro attaching the label "LEARNING" to flag 1. More...
#define	EXITSYN   0
	Macro attaching the label "EXITSYN" to flag 0 (excitatory synapse) More...
#define	INHIBSYN   1
	Macro attaching the label "INHIBSYN" to flag 1 (inhibitory synapse) More...
#define	CPU   0
	Macro attaching the label "CPU" to flag 0. More...
#define	GPU   1
	Macro attaching the label "GPU" to flag 1. More...
#define	AUTODEVICE   -1
	Macro attaching the label AUTODEVICE to flag -1. Used by setGPUDevice. More...

Enumerations
enum	SynapseConnType { ALLTOALL, DENSE, SPARSE }
enum	SynapseGType { INDIVIDUALG, GLOBALG, INDIVIDUALID }
enum	FloatType { , GENN_LONG_DOUBLE }
enum	TimePrecision { TimePrecision::DEFAULT, TimePrecision::FLOAT, TimePrecision::DOUBLE }

Functions
void	initGeNN ()
	Method for GeNN initialisation (by preparing standard models) More...
template<typename S >
NewModels::VarInit	initVar (const typename S::ParamValues &params)
template<typename S >
std::enable_if< std::is_same< typename S::ParamValues, Snippet::ValueBase< 0 > >::value, NewModels::VarInit >::type	initVar ()
NewModels::VarInit	uninitialisedVar ()
template<typename S >
InitSparseConnectivitySnippet::Init	initConnectivity (const typename S::ParamValues &params)
template<typename S >
std::enable_if< std::is_same< typename S::ParamValues, Snippet::ValueBase< 0 > >::value, InitSparseConnectivitySnippet::Init >::type	initConnectivity ()
InitSparseConnectivitySnippet::Init	uninitialisedConnectivity ()

Variables
unsigned int	GeNNReady

Detailed Description

Header file that contains the class (struct) definition of neuronModel for defining a neuron model and the class definition of NNmodel for defining a neuronal network model. Part of the code generation and generated code sections.

Macro Definition Documentation

_MODELSPEC_H_

#define _MODELSPEC_H_

macro for avoiding multiple inclusion during compilation

AUTODEVICE

#define AUTODEVICE   -1

Macro attaching the label AUTODEVICE to flag -1. Used by setGPUDevice.

CPU

#define CPU   0

Macro attaching the label "CPU" to flag 0.

EXITSYN

#define EXITSYN   0

Macro attaching the label "EXITSYN" to flag 0 (excitatory synapse)

GPU

#define GPU   1

Macro attaching the label "GPU" to flag 1.

Floating point precision to use for models

INHIBSYN

#define INHIBSYN   1

Macro attaching the label "INHIBSYN" to flag 1 (inhibitory synapse)

LEARNING

#define LEARNING   1

Macro attaching the label "LEARNING" to flag 1.

NO_DELAY

#define NO_DELAY   0

Macro used to indicate no synapse delay for the group (only one queue slot will be generated)

NOLEARNING

#define NOLEARNING   0

Macro attaching the label "NOLEARNING" to flag 0.

Enumeration Type Documentation

FloatType

enum FloatType

Enumerator
GENN_LONG_DOUBLE

SynapseConnType

enum SynapseConnType

Enumerator
ALLTOALL
DENSE
SPARSE

SynapseGType

enum SynapseGType

Enumerator
INDIVIDUALG
GLOBALG
INDIVIDUALID

TimePrecision

enum TimePrecision

strong

Enumerator
DEFAULT	Time uses default model precision.
FLOAT	Time uses single precision - not suitable for long simulations.
DOUBLE	Time uses double precision - may reduce performance.

Function Documentation

initConnectivity() [1/2]

template<typename S >

InitSparseConnectivitySnippet::Init initConnectivity ( const typename S::ParamValues &  params )

inline

initConnectivity() [2/2]

template<typename S >

std::enable_if<std::is_same<typename S::ParamValues, Snippet::ValueBase<0> >::value, InitSparseConnectivitySnippet::Init>::type initConnectivity ( )

inline

initGeNN()

void initGeNN

(

)

Method for GeNN initialisation (by preparing standard models)

initVar() [1/2]

template<typename S >

NewModels::VarInit initVar ( const typename S::ParamValues &  params )

inline

initVar() [2/2]

template<typename S >

std::enable_if<std::is_same<typename S::ParamValues, Snippet::ValueBase<0> >::value, NewModels::VarInit>::type initVar ( )

inline

uninitialisedConnectivity()

InitSparseConnectivitySnippet::Init uninitialisedConnectivity ( )

inline

uninitialisedVar()

NewModels::VarInit uninitialisedVar ( )

inline

Variable Documentation

GeNNReady

unsigned int GeNNReady