class NeuronModels::IzhikevichVariable¶
Overview¶
Izhikevich neuron with variable parameters izhikevich2003simple. More…
#include <neuronModels.h> class IzhikevichVariable: public NeuronModels::Izhikevich { public: // typedefs typedef Snippet::ValueBase<0> ParamValues; typedef Models::VarInitContainerBase<6> VarValues; typedef Models::VarInitContainerBase<0> PreVarValues; typedef Models::VarInitContainerBase<0> PostVarValues; // methods static const NeuronModels::IzhikevichVariable* getInstance(); virtual StringVec getParamNames() const; virtual VarVec getVars() const; };
Inherited Members¶
public: // typedefs typedef std::vector<std::string> StringVec; typedef std::vector<EGP> EGPVec; typedef std::vector<ParamVal> ParamValVec; typedef std::vector<DerivedParam> DerivedParamVec; typedef std::vector<Var> VarVec; typedef Snippet::ValueBase<4> ParamValues; typedef Models::VarInitContainerBase<2> VarValues; typedef Models::VarInitContainerBase<0> PreVarValues; typedef Models::VarInitContainerBase<0> PostVarValues; // structs struct DerivedParam; struct EGP; struct ParamVal; struct Var; // methods virtual ~Base(); virtual StringVec getParamNames() const; virtual DerivedParamVec getDerivedParams() const; virtual VarVec getVars() const; virtual EGPVec getExtraGlobalParams() const; size_t getVarIndex(const std::string& varName) const; size_t getExtraGlobalParamIndex(const std::string& paramName) const; virtual std::string getSimCode() const; virtual std::string getThresholdConditionCode() const; virtual std::string getResetCode() const; virtual std::string getSupportCode() const; virtual Models::Base::ParamValVec getAdditionalInputVars() const; virtual bool isAutoRefractoryRequired() const; static const NeuronModels::Izhikevich* getInstance(); virtual std::string getSimCode() const; virtual std::string getThresholdConditionCode() const; virtual StringVec getParamNames() const; virtual VarVec getVars() const;
Detailed Documentation¶
Izhikevich neuron with variable parameters izhikevich2003simple.
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 U
and no parameters.