Spiking Neuron Network Simulator  1.0
Simulation and training of spiking neuron networks, primarily theta neurons
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123]
 ▼CException
 CSpikingNeuronNetwork.Lib.MatrixExceptionMatrix Exception Class
 ▼CICollection< Spike >
 CSpikingNeuronNetwork.Lib.SpikePriorityQueueSpike Priority Queue used for determining what spike to process next based on spike timing
 ▼CIComparable
 CSpikingNeuronNetwork.Lib.SpikeStatsThe spike statistics class
 ▼CSpikingNeuronNetwork.Lib.Interfaces.IErrorDerivativeParametersError Derivative Parameters Interface
 CSpikingNeuronNetwork.Lib.Training.ErrorDerivativeParametersError Derivative Parameters Class
 CSpikingNeuronNetwork.Lib.Training.ErrorDerivativeParametersBatchError Derivative Parameters Batch Class For Tracking Running Totals in Error Derivatives
 ▼CSpikingNeuronNetwork.Lib.Interfaces.ISpikingErrorSpiking Error Interface
 CSpikingNeuronNetwork.Lib.SumOfSquaredSpikingErrorSum of Squared Spiking Error Class
 ▼CSpikingNeuronNetwork.Lib.Interfaces.ISpikingNeuronSpiking Neuron Interface
 ▼CSpikingNeuronNetwork.Lib.NeuronModels.SpikingNeuronSpiking Neuron Abstract Class, Inherits From ISpikingNeuron
 CSpikingNeuronNetwork.Lib.NeuronModels.QifNeuronQuadratic Integrate and Fire Spiking Neuron Class
 CSpikingNeuronNetwork.Lib.NeuronModels.ThetaNeuronTheta Neuron Class
 ▼CSpikingNeuronNetwork.Lib.Interfaces.ITrainingAlgorithmTraining Algorithm Interface
 CSpikingNeuronNetwork.Lib.Training.QuickPropTrainingQuick Prop Training Class, inherits from ITrainingAlgorithm
 CSpikingNeuronNetwork.Lib.Training.RpropTrainingRProp Training Class, inherits from ITrainingAlgorithm
 CSpikingNeuronNetwork.Lib.Training.SteepestDescentTrainingSteepest Descent Training Class, inherits from ITrainingAlgorithm
 CSpikingNeuronNetwork.Lib.Training.SteepestDescentWithMomentumTrainingSteepest Descent Training With Momentum Class, inherits from ITrainingAlgorithm
 CSpikingNeuronNetwork.Lib.MatrixMatrix Class
 CSpikingNeuronNetwork.Lib.Training.NeuronDerivativeParametersNeuron Derivative Parameters Class
 CSpikingNeuronNetwork.Lib.NeuronFiringHistoryNeuron Firing History Class
 CSpikingNeuronNetwork.Lib.NeuronStateNeuron State Class
 CSpikingNeuronNetwork.Console.ProgramConsole Program Class
 CSpikingNeuronNetwork.Lib.SpikeSpike Class
 CSpikingNeuronNetwork.Lib.SpikeSetSpike set class
 CSpikingNeuronNetwork.Lib.SpikingNeuronNetworkSpiking Neuron Network Class
 CSpikingNeuronNetwork.Test.SpikingNeuronNetworkRunningTestsTests ability to run a spiking neuron network
 CSpikingNeuronNetwork.Test.SpikingNeuronNetworkTrainingTestsTests ability to train a spiking neuron network
 CSpikingNeuronNetwork.Test.SumOfSquaredSpikingErrorTestsTests the sum of squared error calculation between spike trains
 CSpikingNeuronNetwork.Lib.SynapseSynapse Class
 CSpikingNeuronNetwork.Test.TestHelperSet of helper methods for various spiking neuron network tests
 CSpikingNeuronNetwork.Test.ThetaNeuronTestsTests theta neuron functionality
 CSpikingNeuronNetwork.Lib.Training.TrainingStatsTraining Statistics Class
 CSpikingNeuronNetwork.Lib.Training.TrainNetworkTrain Network Class
 ▼CTuple< double, List< int >>
 CSpikingNeuronNetwork.Lib.Training.TrainingStatsPerEpochTraining Stats Per Epoch Class, inherits from a tuple representing the error and non-firing neuron indices