NeuronModels::Izhikevich Class Reference

Izhikevich neuron with fixed parameters [1]. More...

#include <neuronModels.h>

Inheritance diagram for NeuronModels::Izhikevich:

Public Types
typedef Snippet::ValueBase< 4 >	ParamValues
typedef Models::VarInitContainerBase< 2 >	VarValues
typedef Models::VarInitContainerBase< 0 >	PreVarValues
typedef Models::VarInitContainerBase< 0 >	PostVarValues
Public Types inherited from Models::Base
typedef std::vector< Var >	VarVec
typedef std::vector< VarRef >	VarRefVec
typedef std::vector< EGPRef >	EGPRefVec
Public Types inherited from Snippet::Base
typedef std::vector< std::string >	StringVec
typedef std::vector< EGP >	EGPVec
typedef std::vector< ParamVal >	ParamValVec
typedef std::vector< DerivedParam >	DerivedParamVec

Public Member Functions
virtual std::string	getSimCode () const override
	Gets the code that defines the execution of one timestep of integration of the neuron model. More...
virtual std::string	getThresholdConditionCode () const override
	Gets code which defines the condition for a true spike in the described neuron model. More...
virtual StringVec	getParamNames () const override
	Gets names of of (independent) model parameters. More...
virtual VarVec	getVars () const override
	Gets names and types (as strings) of model variables. More...
	SET_NEEDS_AUTO_REFRACTORY (false)
Public Member Functions inherited from NeuronModels::Base
virtual std::string	getResetCode () const
	Gets code that defines the reset action taken after a spike occurred. This can be empty. More...
virtual std::string	getSupportCode () const
	Gets support code to be made available within the neuron kernel/funcion. More...
virtual Models::Base::ParamValVec	getAdditionalInputVars () const
virtual bool	isAutoRefractoryRequired () const
	Does this model require auto-refractory logic? More...
boost::uuids::detail::sha1::digest_type	getHashDigest () const
	Update hash from model. More...
void	validate () const
	Validate names of parameters etc. More...
Public Member Functions inherited from Models::Base
size_t	getVarIndex (const std::string &varName) const
	Find the index of a named variable. More...
Public Member Functions inherited from Snippet::Base
virtual	~Base ()
virtual DerivedParamVec	getDerivedParams () const
virtual EGPVec	getExtraGlobalParams () const
size_t	getExtraGlobalParamIndex (const std::string &paramName) const
	Find the index of a named extra global parameter. More...

Static Public Member Functions
static const NeuronModels::Izhikevich *	getInstance ()

Additional Inherited Members
Protected Member Functions inherited from Models::Base
void	updateHash (boost::uuids::detail::sha1 &hash) const
void	validate () const
	Validate names of parameters etc. More...
Protected Member Functions inherited from Snippet::Base
void	updateHash (boost::uuids::detail::sha1 &hash) const
void	validate () const
	Validate names of parameters etc. More...
Static Protected Member Functions inherited from Snippet::Base
template<typename T >
static size_t	getNamedVecIndex (const std::string &name, const std::vector< T > &vec)

Detailed Description

Izhikevich neuron with fixed parameters [1].

It is usually described as

I is an external input current and the voltage V is reset to parameter c and U incremented by parameter d, whenever V >= 30 mV. This is paired with a particular integration procedure of two 0.5 ms Euler time steps for the V equation followed by one 1 ms time step of the U equation. Because of its popularity we provide this model in this form here event though due to the details of the usual implementation it is strictly speaking inconsistent with the displayed equations.

Variables are:

• V - Membrane potential
• U - Membrane recovery variable

Parameters are:

• a - time scale of U
• b - sensitivity of U
• c - after-spike reset value of V
• d - after-spike reset value of U

Member Typedef Documentation

ParamValues

typedef Snippet::ValueBase< 4 > NeuronModels::Izhikevich::ParamValues

PostVarValues

typedef Models::VarInitContainerBase<0> NeuronModels::Izhikevich::PostVarValues

PreVarValues

typedef Models::VarInitContainerBase<0> NeuronModels::Izhikevich::PreVarValues

VarValues

typedef Models::VarInitContainerBase< 2 > NeuronModels::Izhikevich::VarValues

Member Function Documentation

getInstance()

static const NeuronModels::Izhikevich* NeuronModels::Izhikevich::getInstance ( )

inlinestatic

getParamNames()

virtual StringVec NeuronModels::Izhikevich::getParamNames ( ) const

inlineoverridevirtual

Gets names of of (independent) model parameters.

Reimplemented from Snippet::Base.

Reimplemented in NeuronModels::IzhikevichVariable.

getSimCode()

virtual std::string NeuronModels::Izhikevich::getSimCode ( ) const

inlineoverridevirtual

Gets the code that defines the execution of one timestep of integration of the neuron model.

The code will refer to for the value of the variable with name "NN". It needs to refer to the predefined variable "ISYN", i.e. contain , if it is to receive input.

Reimplemented from NeuronModels::Base.

getThresholdConditionCode()

virtual std::string NeuronModels::Izhikevich::getThresholdConditionCode ( ) const

inlineoverridevirtual

Gets code which defines the condition for a true spike in the described neuron model.

This evaluates to a bool (e.g. "V > 20").

Reimplemented from NeuronModels::Base.

getVars()

virtual VarVec NeuronModels::Izhikevich::getVars ( ) const

inlineoverridevirtual

Gets names and types (as strings) of model variables.

Reimplemented from Models::Base.

Reimplemented in NeuronModels::IzhikevichVariable.

SET_NEEDS_AUTO_REFRACTORY()

NeuronModels::Izhikevich::SET_NEEDS_AUTO_REFRACTORY

(

false

)

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

• neuronModels.h