NeuroLab
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
 CConditionalEstimatorEstimates conditional mean, var, etc. of a stochastic process
 CCovariationCovariation process
 CDataCollectorClass used to do user defined data collection in nested runs
 CDependanceEstimatorEstimating dependencies of conditional variables
 CDifferentialEquationA stochastic differential equation
 CDisplayClass for displaying matrix data and analytical functions
 CDisplayActionAn action object
 CEstimatorBase class for estimation of various stochastic properties
 CEventMultiplexer
 CFunctionClass for mathematical functions
 CGraphThe graph of a function
 CIfNeuronClass implementing a simple integrate-and-fire neuron
 CIntervalEstimatorEstimates interval distribution, mean, var, etc. of a time series
 CMatrixMatrix class
 CMlCalciumChannelClass implementing a calcium channel for a Morris-Lecar
 CMlNeuronClass implementing a Morris-Lecar neuron
 CMlPotassiumChannelClass implementing a potassium channel for a Morris-Lecar
 CNeuronClass implementing a simple integrate-and-fire neuron
 CNoiseA correlated noise source
 CNoiseSourceA set of mutually correlated noise sources (Wiener, Poisson and Ornstein-Uhlenbeck processes)
 CNullStreamClass used for piping output into nothingness
 CParametricClass describing objects which can be parametrized
 CPhysicalA physical value
 CPlotA plot descriptor used by the Display class
 CPoissonReturns delta peaks with a static rate
 CPoissonNoiseA poisson noise source
 CProcessEstimatorEstimates mean, var, etc. of a stochastic process
 CProductA product of the function input and a scalar
 CQueueSmall queue
 CRandNAn object which uses the randn function
 CRegularReturns delta peaks with a static rate
 CScalarReturns a scalar
 CScalarEstimatorEstimates mean, variance, etc. of a scalar stochastic variable
 CSeriesEstimatorRecorder for stochastic properties of series
 CSimpleSynapseA synapse
 CSpikingNeuronBase class for all spiking neurons
 CSquareReturns the product of Xt*Xt and a scalar
 CStochasticEventGeneratorAn object which generates events
 CStochasticFunctionA parametrized stochastic variable
 CStochasticProcessA stochastic variable
 CStochasticVariableA simple stochastic variable
 CSynapseA synapse
 CThetaMembraneTheta neuron membranedecay term
 CThetaNeuronA Theta Neuron
 CThetaStimulusTheta neuron stimulus term
 CThresholdDetectorDetects whether a value is above a threshold
 CTimeThe time
 CTimeDelayClass implementing time delay
 CTimeDependentTime dependent objects
 CUnitA physical unit
 CVoltageDependanceReturns a product of a difference of Xt
 CWienerProperties for all Wiener processes
 CWienerCppCondensed Poisson Process
 CWienerNoiseA Wiener process (white) noise source