Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 123]

CclassIzh
Cclassol	This class cpontains the methods for running the MBody1 example model
CCodeHelper
CCStopWatch
▼Cdpclass
CexpDecayDp	Class defining the dependent parameter for exponential decay
CpwSTDP	TODO This class definition may be code-generated in a future release
CpwSTDP_userdef	TODO This class definition may be code-generated in a future release
Crulkovdp	Class defining the dependent parameters of the Rulkov map neuron
CerrTupel
CinputSpec
CneuronModel	Class for specifying a neuron model
Cneuronpop
CNNmodel
CParameter
CpostSynModel	Class 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"
CQTIsaac< ALPHA, T >
CQTIsaac< 8, unsigned long >
CQTIsaac< ALPHA, T >::randctx
CrandomGauss	Class random Gauss encapsulates the methods for generating random neumbers with Gaussian distribution
CrandomGen	Class randomGen which implements the ISAAC random number generator for uniformely distributed random numbers
CSchmuker2014_classifier	This class cpontains the methods for running the Schmuker_2014_classifier example model
CSimulationNeuronPolicyPrePostVar
CSimulationNeuronPolicyPreVar
▼CSimulationSynapsePolicyDense
▼CSimulationSynapsePolicySparse
CSimulationSynapsePolicy
CSimulationSynapsePolicyNone
CSparseProjection	Class (struct) for defining a spars connectivity projection
CstdRG
CstopWatch
CSynDelay
▼CTestWithParam
▼CSimulationTest
CSimulationTestVars< NeuronPolicy, SynapsePolicy >
CweightUpdateModel	Class 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