GeNN
4.9.0
GPU enhanced Neuronal Networks (GeNN)
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Hodgkin-Huxley neurons with Traub & Miles algorithm: Original fast implementation, using 25 inner iterations. More...
#include <neuronModels.h>
Public Types | |
typedef Snippet::ValueBase< 7 > | ParamValues |
typedef Models::VarInitContainerBase< 4 > | VarValues |
typedef Models::VarInitContainerBase< 0 > | PreVarValues |
typedef Models::VarInitContainerBase< 0 > | PostVarValues |
Public Types inherited from NeuronModels::TraubMiles | |
typedef Snippet::ValueBase< 7 > | ParamValues |
typedef Models::VarInitContainerBase< 4 > | 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... | |
Public Member Functions inherited from NeuronModels::TraubMiles | |
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... | |
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 ¶mName) const |
Find the index of a named extra global parameter. More... | |
Static Public Member Functions | |
static const NeuronModels::TraubMilesFast * | getInstance () |
Static Public Member Functions inherited from NeuronModels::TraubMiles | |
static const NeuronModels::TraubMiles * | 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) |
Hodgkin-Huxley neurons with Traub & Miles algorithm: Original fast implementation, using 25 inner iterations.
There are singularities in this model, which can be easily hit in float precision
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inlinestatic |
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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::TraubMiles.