GeNN  2.2.3
GPU enhanced Neuronal Networks (GeNN)
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 12]
 CclassIzh
 CclassolThis class cpontains the methods for running the MBody1 example model
 CCodeHelper
 CCStopWatch
 Cdpclass
 CerrTupel
 CexpDecayDpClass defining the dependent parameter for exponential decay
 CinputSpec
 CneuronModelClass for specifying a neuron model
 Cneuronpop
 CNNmodel
 CParameter
 CpostSynModelClass to hold the information that defines a post-synaptic model (a model of how synapses affect post-synaptic neuron variables, classically in the form of a synaptic current). It also allows to define an equation for the dynamics that can be applied to the summed synaptic input variable "insyn"
 CpwSTDPTODO This class definition may be code-generated in a future release
 CpwSTDP_userdefTODO This class definition may be code-generated in a future release
 CQTIsaac
 Crandctx
 CrandomGaussClass random Gauss encapsulates the methods for generating random neumbers with Gaussian distribution
 CrandomGenClass randomGen which implements the ISAAC random number generator for uniformely distributed random numbers
 CrulkovdpClass defining the dependent parameters of the Rulkov map neuron
 CSchmuker2014_classifierThis class cpontains the methods for running the Schmuker_2014_classifier example model
 CSimulationNeuronPolicyPrePostVar
 CSimulationNeuronPolicyPreVar
 CSimulationSynapsePolicy
 CSimulationSynapsePolicyDense
 CSimulationSynapsePolicyNone
 CSimulationSynapsePolicySparse
 CSimulationTest
 CSimulationTestVars
 CSparseProjectionClass (struct) for defining a spars connectivity projection
 CstdRG
 CstopWatch
 CSynDelay
 CweightUpdateModelClass to hold the information that defines a weightupdate model (a model of how spikes affect synaptic (and/or) (mostly) post-synaptic neuron variables. It also allows to define changes in response to post-synaptic spikes/spike-like events