class NeuronModels::PoissonNew¶

Overview¶

#include <neuronModels.h>

class PoissonNew: public NeuronModels::Base
{
public:
    // typedefs

    typedef Snippet::ValueBase<1> ParamValues;
    typedef Models::VarInitContainerBase<1> VarValues;
    typedef Models::VarInitContainerBase<0> PreVarValues;
    typedef Models::VarInitContainerBase<0> PostVarValues;

    // methods

    static const NeuronModels::PoissonNew* getInstance();
    virtual std::string getSimCode() const;
    virtual std::string getThresholdConditionCode() const;
    virtual StringVec getParamNames() const;
    virtual VarVec getVars() const;
    virtual DerivedParamVec getDerivedParams() const;
    SET_NEEDS_AUTO_REFRACTORY(false);
};

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;

    // 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;

Detailed Documentation¶

Poisson neurons.

It has 1 state variable:

timeStepToSpike - Number of timesteps to next spike

and 1 parameter:

rate - Mean firing rate (Hz)

Internally this samples from the exponential distribution using the C++ 11 <random> library on the CPU and by transforming the uniform distribution, generated using cuRAND, with a natural log on the GPU.

Methods¶

virtual std::string getSimCode() const

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.

virtual std::string getThresholdConditionCode() const

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

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

virtual StringVec getParamNames() const

Gets names of of (independent) model parameters.

virtual VarVec getVars() const

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

virtual DerivedParamVec getDerivedParams() const

Gets names of derived model parameters and the function objects to call to Calculate their value from a vector of model parameter values