GeNN
3.3.0
GPU enhanced Neuronal Networks (GeNN)
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#include <newNeuronModels.h>
Public Types | |
typedef Snippet::ValueBase< 1 > | ParamValues |
typedef NewModels::VarInitContainerBase< 1 > | 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 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... | |
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... | |
virtual DerivedParamVec | getDerivedParams () const override |
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 () |
Static Public Member Functions | |
static const NeuronModels::PoissonNew * | getInstance () |
Additional Inherited Members | |
Static Protected Member Functions inherited from NewModels::Base | |
static size_t | getVarIndex (const std::string &varName, const StringPairVec &vars) |
Poisson neurons.
It has 1 state variable:
timeStepToSpike
- Number of timesteps to next spikeand 1 parameter:
rate
- Mean firing rate (Hz)typedef Snippet::ValueBase< 1 > NeuronModels::PoissonNew::ParamValues |
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inlineoverridevirtual |
Gets names of derived model parameters and the function objects to call to Calculate their value from a vector of model parameter values
Reimplemented from Snippet::Base.
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inlinestatic |
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inlineoverridevirtual |
Gets names of of (independent) model parameters.
Reimplemented from Snippet::Base.
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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::Base.
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inlineoverridevirtual |
Gets code which defines the condition for a true spike in the described neuron model.
This evaluates to a bool (e.g. "V > 20").
Reimplemented from NeuronModels::Base.
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inlineoverridevirtual |
Gets names and types (as strings) of model variables.
Reimplemented from NewModels::Base.