Verve Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

verve::ActiveTDConnectionList	A dynamic list of "active" TDConnections (those with a non-zero eligibility trace)
verve::Agent	An Agent is an autonomous entity that learns from direct with its environment
verve::AgentDescriptor	A data structure used for Agent creation
verve::Connection	A synaptic connection between two Neurons
verve::ContinuousSensorDescriptor	A data structure describing a continuous sensor
verve::DiscreteSensorDescriptor	A data structure describing a discrete sensor
verve::Logger	This class is used to log any events, errors, or warnings that may come up
verve::Logger::Stream	A simple output stream structure
verve::Neuron	The basic Neuron class
verve::Observation	A simple data structure containing arrays of discrete and/or continuous sensory input data
verve::Population	An interface for a group of Neurons of similar function
verve::PredictiveModel	A PredictiveModel learns a predictive model of the environment dynamics (transitions) from direct experience
verve::Projection	An interface for a group of Connections from one group of Neurons to another
verve::RBFInputData	A convenient data structure for passing around common sets of data
verve::RBFNeuron	A "radial basis function" Neuron
verve::RBFPopulation	A group of RBFNeurons
verve::RLModule	An RLModule learns from reinforcements to improve its action selection in order to increase its future reinforcement intake
verve::TDConnection	A Connection that is trainable via temporal difference learning
verve::TDProjection	A Projection of TDConnections
verve::UltraSparseCodePopulation	A Population with only one active Neuron
verve::WinnerTakeAllPopulation	A Population with a single active Neuron

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