weightUpdateModels.h

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#pragma once

// GeNN includes
#include "models.h"

//----------------------------------------------------------------------------
// Macros
//----------------------------------------------------------------------------
#define DECLARE_WEIGHT_UPDATE_MODEL(TYPE, NUM_PARAMS, NUM_VARS, NUM_PRE_VARS, NUM_POST_VARS)    \
    DECLARE_SNIPPET(TYPE, NUM_PARAMS);                                                          \
    typedef Models::VarInitContainerBase<NUM_VARS> VarValues;                                \
    typedef Models::VarInitContainerBase<NUM_PRE_VARS> PreVarValues;                         \
    typedef Models::VarInitContainerBase<NUM_POST_VARS> PostVarValues

#define SET_SIM_CODE(SIM_CODE) virtual std::string getSimCode() const override{ return SIM_CODE; }
#define SET_EVENT_CODE(EVENT_CODE) virtual std::string getEventCode() const override{ return EVENT_CODE; }
#define SET_LEARN_POST_CODE(LEARN_POST_CODE) virtual std::string getLearnPostCode() const override{ return LEARN_POST_CODE; }
#define SET_SYNAPSE_DYNAMICS_CODE(SYNAPSE_DYNAMICS_CODE) virtual std::string getSynapseDynamicsCode() const override{ return SYNAPSE_DYNAMICS_CODE; }
#define SET_EVENT_THRESHOLD_CONDITION_CODE(EVENT_THRESHOLD_CONDITION_CODE) virtual std::string getEventThresholdConditionCode() const override{ return EVENT_THRESHOLD_CONDITION_CODE; }

#define SET_SIM_SUPPORT_CODE(SIM_SUPPORT_CODE) virtual std::string getSimSupportCode() const override{ return SIM_SUPPORT_CODE; }
#define SET_LEARN_POST_SUPPORT_CODE(LEARN_POST_SUPPORT_CODE) virtual std::string getLearnPostSupportCode() const override{ return LEARN_POST_SUPPORT_CODE; }
#define SET_SYNAPSE_DYNAMICS_SUPPORT_CODE(SYNAPSE_DYNAMICS_SUPPORT_CODE) virtual std::string getSynapseDynamicsSuppportCode() const override{ return SYNAPSE_DYNAMICS_SUPPORT_CODE; }
#define SET_PRE_SPIKE_CODE(PRE_SPIKE_CODE) virtual std::string getPreSpikeCode() const override{ return PRE_SPIKE_CODE; }
#define SET_POST_SPIKE_CODE(POST_SPIKE_CODE) virtual std::string getPostSpikeCode() const override{ return POST_SPIKE_CODE; }

#define SET_PRE_VARS(...) virtual VarVec getPreVars() const override{ return __VA_ARGS__; }
#define SET_POST_VARS(...) virtual VarVec getPostVars() const override{ return __VA_ARGS__; }

#define SET_NEEDS_PRE_SPIKE_TIME(PRE_SPIKE_TIME_REQUIRED) virtual bool isPreSpikeTimeRequired() const override{ return PRE_SPIKE_TIME_REQUIRED; }
#define SET_NEEDS_POST_SPIKE_TIME(POST_SPIKE_TIME_REQUIRED) virtual bool isPostSpikeTimeRequired() const override{ return POST_SPIKE_TIME_REQUIRED; }

//----------------------------------------------------------------------------
// WeightUpdateModels::Base
//----------------------------------------------------------------------------
namespace WeightUpdateModels
{
class Base : public Models::Base
{
public:
    //----------------------------------------------------------------------------
    // Declared virtuals
    //----------------------------------------------------------------------------
    virtual std::string getSimCode() const{ return ""; }

    virtual std::string getEventCode() const{ return ""; }


    virtual std::string getLearnPostCode() const{ return ""; }

    virtual std::string getSynapseDynamicsCode() const{ return ""; }

    virtual std::string getEventThresholdConditionCode() const{ return ""; }


    virtual std::string getSimSupportCode() const{ return ""; }


    virtual std::string getLearnPostSupportCode() const{ return ""; }


    virtual std::string getSynapseDynamicsSuppportCode() const{ return ""; }


    virtual std::string getPreSpikeCode() const{ return ""; }


    virtual std::string getPostSpikeCode() const{ return ""; }

    virtual VarVec getPreVars() const{ return {}; }

    virtual VarVec getPostVars() const{ return {}; }

    virtual bool isPreSpikeTimeRequired() const{ return false; }

    virtual bool isPostSpikeTimeRequired() const{ return false; }

    //------------------------------------------------------------------------
    // Public methods
    //------------------------------------------------------------------------
    size_t getPreVarIndex(const std::string &varName) const
    {
        return getVarVecIndex(varName, getPreVars());
    }

    size_t getPostVarIndex(const std::string &varName) const
    {
        return getVarVecIndex(varName, getPostVars());
    }

};

//----------------------------------------------------------------------------
// WeightUpdateModels::StaticPulse
//----------------------------------------------------------------------------

class StaticPulse : public Base
{
public:
    DECLARE_WEIGHT_UPDATE_MODEL(StaticPulse, 0, 1, 0, 0);

    SET_VARS({{"g", "scalar"}});

    SET_SIM_CODE("$(addToInSyn, $(g));\n");
};

//----------------------------------------------------------------------------
// WeightUpdateModels::StaticPulseDendriticDelay
//----------------------------------------------------------------------------

class StaticPulseDendriticDelay : public Base
{
public:
    DECLARE_MODEL(StaticPulseDendriticDelay, 0, 2);

    SET_VARS({{"g", "scalar"},{"d", "uint8_t"}});

    SET_SIM_CODE("$(addToInSynDelay, $(g), $(d));\n");
};

//----------------------------------------------------------------------------
// WeightUpdateModels::StaticGraded
//----------------------------------------------------------------------------

class StaticGraded : public Base
{
public:
    DECLARE_WEIGHT_UPDATE_MODEL(StaticGraded, 2, 1, 0, 0);

    SET_PARAM_NAMES({"Epre", "Vslope"});
    SET_VARS({{"g", "scalar"}});

    SET_EVENT_CODE("$(addToInSyn, max(0.0, $(g) * tanh(($(V_pre) - $(Epre)) / $(Vslope))* DT));\n");

    SET_EVENT_THRESHOLD_CONDITION_CODE("$(V_pre) > $(Epre)");
};

//----------------------------------------------------------------------------
// PiecewiseSTDP
//----------------------------------------------------------------------------

class PiecewiseSTDP : public Base
{
public:
    DECLARE_WEIGHT_UPDATE_MODEL(PiecewiseSTDP, 10, 2, 0, 0);

    SET_PARAM_NAMES({"tLrn", "tChng", "tDecay", "tPunish10", "tPunish01",
        "gMax", "gMid", "gSlope", "tauShift", "gSyn0"});
    SET_VARS({{"g", "scalar"}, {"gRaw", "scalar"}});

    SET_SIM_CODE(
        "$(addToInSyn, $(g));\n"
        "scalar dt = $(sT_post) - $(t) - ($(tauShift)); \n"
        "scalar dg = 0;\n"
        "if (dt > $(lim0))  \n"
        "    dg = -($(off0)) ; \n"
        "else if (dt > 0)  \n"
        "    dg = $(slope0) * dt + ($(off1)); \n"
        "else if (dt > $(lim1))  \n"
        "    dg = $(slope1) * dt + ($(off1)); \n"
        "else dg = - ($(off2)) ; \n"
        "$(gRaw) += dg; \n"
        "$(g)=$(gMax)/2 *(tanh($(gSlope)*($(gRaw) - ($(gMid))))+1); \n");
    SET_LEARN_POST_CODE(
        "scalar dt = $(t) - ($(sT_pre)) - ($(tauShift)); \n"
        "scalar dg =0; \n"
        "if (dt > $(lim0))  \n"
        "    dg = -($(off0)) ; \n"
        "else if (dt > 0)  \n"
        "    dg = $(slope0) * dt + ($(off1)); \n"
        "else if (dt > $(lim1))  \n"
        "    dg = $(slope1) * dt + ($(off1)); \n"
        "else dg = -($(off2)) ; \n"
        "$(gRaw) += dg; \n"
        "$(g)=$(gMax)/2.0 *(tanh($(gSlope)*($(gRaw) - ($(gMid))))+1); \n");

    SET_DERIVED_PARAMS({
        {"lim0", [](const std::vector<double> &pars, double){ return (1/pars[4] + 1/pars[1]) * pars[0] / (2/pars[1]); }},
        {"lim1", [](const std::vector<double> &pars, double){ return  -((1/pars[3] + 1/pars[1]) * pars[0] / (2/pars[1])); }},
        {"slope0", [](const std::vector<double> &pars, double){ return  -2*pars[5]/(pars[1]*pars[0]); }},
        {"slope1", [](const std::vector<double> &pars, double){ return  2*pars[5]/(pars[1]*pars[0]); }},
        {"off0", [](const std::vector<double> &pars, double){ return  pars[5] / pars[4]; }},
        {"off1", [](const std::vector<double> &pars, double){ return  pars[5] / pars[1]; }},
        {"off2", [](const std::vector<double> &pars, double){ return  pars[5] / pars[3]; }}});

    SET_NEEDS_PRE_SPIKE_TIME(true);
    SET_NEEDS_POST_SPIKE_TIME(true);
};
} // WeightUpdateModels