GeNN
3.3.0
GPU enhanced Neuronal Networks (GeNN)
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Izhikevich neuron with variable parameters [1]. More...
#include <newNeuronModels.h>
Public Types | |
typedef Snippet::ValueBase< 0 > | ParamValues |
typedef NewModels::VarInitContainerBase< 6 > | VarValues |
typedef NewModels::VarInitContainerBase< 0 > | PreVarValues |
typedef NewModels::VarInitContainerBase< 0 > | PostVarValues |
Public Types inherited from NeuronModels::Izhikevich | |
typedef Snippet::ValueBase< 4 > | ParamValues |
typedef NewModels::VarInitContainerBase< 2 > | VarValues |
typedef NewModels::VarInitContainerBase< 0 > | PreVarValues |
typedef NewModels::VarInitContainerBase< 0 > | PostVarValues |
Public Types inherited from Snippet::Base | |
typedef std::function< double(const std::vector< double > &, double)> | DerivedParamFunc |
typedef std::vector< std::string > | StringVec |
typedef std::vector< std::pair< std::string, std::string > > | StringPairVec |
typedef std::vector< std::pair< std::string, std::pair< std::string, double > > > | NameTypeValVec |
typedef std::vector< std::pair< std::string, DerivedParamFunc > > | DerivedParamVec |
Public Member Functions | |
virtual StringVec | getParamNames () const override |
Gets names of of (independent) model parameters. More... | |
virtual StringPairVec | getVars () const override |
Gets names and types (as strings) of model variables. More... | |
Public Member Functions inherited from NeuronModels::Izhikevich | |
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... | |
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 NewModels::Base::StringPairVec | getExtraGlobalParams () const |
virtual NewModels::Base::NameTypeValVec | getAdditionalInputVars () const |
Public Member Functions inherited from NewModels::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 |
Static Public Member Functions | |
static const NeuronModels::IzhikevichVariable * | getInstance () |
Static Public Member Functions inherited from NeuronModels::Izhikevich | |
static const NeuronModels::Izhikevich * | getInstance () |
Additional Inherited Members | |
Static Protected Member Functions inherited from NewModels::Base | |
static size_t | getVarIndex (const std::string &varName, const StringPairVec &vars) |
Izhikevich neuron with variable parameters [1].
This is the same model as Izhikevich but parameters are defined as "variables" in order to allow users to provide individual values for each individual neuron instead of fixed values for all neurons across the population.
Accordingly, the model has the Variables:
V
- Membrane potentialU
- Membrane recovery variablea
- time scale of Ub
- sensitivity of Uc
- after-spike reset value of Vd
- after-spike reset value of Uand no parameters.
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inlinestatic |
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inlineoverridevirtual |
Gets names of of (independent) model parameters.
Reimplemented from NeuronModels::Izhikevich.
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inlineoverridevirtual |
Gets names and types (as strings) of model variables.
Reimplemented from NeuronModels::Izhikevich.