Class List

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

[detail level 123456]

▼Nknp	General framework namespace
▼Nbackends	Namespace for implementation of concrete backends
▼Ncpu	Namespace for CPU backends
Csubscribe_stdp_projection	The "null" subscriber
Csubscribe_stdp_projection< knp::synapse_traits::STDP< Rule, SynapseType > >	STDP projection subscriber
▼Ncpu_executors	Namespace for CPU backend executors
CThreadPool	Definition of thread pool
CThreadPoolContext	Service class used for creating pool executors
CThreadPoolExecutor	Definition of the interface to thread pool used for thread execution
▼Nmulti_threaded_cpu	Namespace for multi-threaded backend
CMultiThreadedCPUBackend	Definition of an interface to the multi-threaded CPU backend
▼Nsingle_threaded_cpu	Namespace for single-threaded backend
CSingleThreadedCPUBackend	Definition of an interface to the single-threaded CPU backend
▼Ncore	Core library namespace
▼Nmessaging	Messaging namespace
CMessageHeader	Common header for messages
CSpikeMessage	Structure of the spike message
CSynapticImpact	Structure that contains the synaptic impact value and indexes of presynaptic and postsynaptic neurons
CSynapticImpactMessage	Structure of the synaptic impact message
▼CBackend	Base class for backends
CBaseValueIterator	The BaseValueIterator class is a definition of an interface to the iterator used to access populations or projections by value
CDataRanges	Structure used to access population and projection data
CBaseData	Common parameters for several different entities
Ccontinuously_uid_generator	UID generator for entities
CDevice	Base class for devices supported by the device library
CMessageBus	Definition of an interface to a message bus
CMessageEndpoint	Definition of message endpoints
CPopulation	The Population class is a container of neurons of the same model
▼CProjection	The Projection class is a definition of similar connections between the neurons of two populations
CSharedSynapseParametersT	Shared synapse parameters for the non-STDP variant of the projection
CSharedSynapseParametersT< knp::synapse_traits::STDP< Rule, SynapseT > >	Structure for the parameters shared between synapses for STDP
CSubscription	The Subscription class is used for message exchange between the network entities
CTagMap	Definition of tags used by entity and their values
CUID	Definition of unique identifiers for entities
Cuid_hash	UID hash functor type
▼Ndevices	Namespace for implementation of concrete devices
▼Naltai	AltAI device namespace
CAltAI	Base class for AltAI devices
CAltAI_GM	The AltAI_GM class is a definition of an interface to the AltAI golden model device
CAltAI_HW	The AltAI_HW class is a definition of an interface to AltAI hardware device
CPort	Structure used to define location of input and output ports in a grid of AltAI cores
▼Ncpu	CPU device namespace
CCPU	Definition of an interface to the CPU device
▼Nframework	Framework namespace
▼Ncoordinates	Namespace for framework coordinates
►Nradial	Namespace for the radial coordinates
►Nd2	Namespace for polar coordinates
Ccoordinate	Polar coordinates
►Nd3	Namespace for spherical coordinates
Ccoordinate	Spherical coordinates
▼Nio	Input and output channel namespace
►Ninput	Input channel namespace
CIndexConverter	Definition of a converter that converts lines of integers into spiked neuron indexes
CInputChannel	Definition of an input channel
CSequenceConverter	The SequenceConverter class is a definition of a stream-like converter that converts a list of input values into spike messages
►Noutput	Output channel namespace
CConvertToSet	Definition of a converter that gets a set of spiked neuron indexes from spike messages
COutputChannel	Definition of an output channel
▼Nmonitoring	Monitoring namespace
CMessageObserver	The MessageObserver class is a definition of an observer that receives messages and processes them
▼Npopulation	Namespace for framework population routines
►Nneurons_generators	Namespace for generators of neurons with specific parameters
CMakeRandom	Generate neurons with random parameter values
▼Nprojection	Projection namespace
►Nparameters_generators	Namespace for framework projection connectors
CCopySynapseGen	The CopySynapseGen class is a definition of a synapse generator that copies parameters of the specified synapse
►Nsynapse_generators	Namespace for framework projection generators
CFixedNumberPost	The FixedNumberPost class is a definition of a generator that makes connections between each presynaptic neuron and a fixed number of random postsynaptic neurons
CFixedNumberPre	The FixedNumberPre class is a definition of a generator that makes connections between each postsynaptic neuron and a fixed number of random presynaptic neurons
CFixedProbability	The FixedProbability class is a definition of a generator that makes connections with some probability between each presynaptic population (source) neuron to each postsynaptic population (destination) neuron
CFromMap	The FromMap class is a defintion of a generator of synapses from std::map or std::unordered_map object
CBackendLoader	Definition of a backend loader
CModel	Definition of a model that contains a network, input and output channels, a monitor and a backend
CModelExecutor	Definition of an executor that runs the uploaded model on the specified backend
CModelLoader	Definition of a loader that uploads the model to the specified backend
CNetwork	Definition of a neural network that contains populations and projections
▼Nmeta	Metaprogramming library namespace
Cis_specialization	Specialization test template
Cis_specialization< Template< Args... >, Template >	Specialization test template.
Cvariant_cast_proxy	Convert from one set of arguments to another
▼Nneuron_traits	Namespace for neuron traits
Cdefault_values	Structure for neuron default values
Cdefault_values< AltAILIF >	Structure for AltAILIF neuron default values
Cdefault_values< BLIFATNeuron >	Structure for BLIFAT neuron default values
Cdefault_values< SynapticResourceSTDPNeuron< NeuronType > >	Template for neuron parameters supported by synaptic resource-based STDP
Cneuron_parameters	Structure for neuron parameters
Cneuron_parameters< AltAILIF >	Structure for AltAILIF neuron parameters
Cneuron_parameters< BLIFATNeuron >	Structure for BLIFAT neuron parameters
Cneuron_parameters< SynapticResourceSTDPNeuron< NeuronType > >	Template for neuron parameters supported by synaptic resource-based STDP
CSynapticResourceSTDPNeuron	Neuron type with resource-based STDP learning rule
▼Nsynapse_traits	Namespace for synapse traits
Cdefault_values	Structure for synapse default values
Cdefault_values< DeltaSynapse >	Default values for delta synapse parameters
Cshared_synapse_parameters	Structure for parameters shared between synapses
Cshared_synapse_parameters< STDP< Rule, SynapseType > >	Common STDP parameters
Cshared_synapse_parameters< STDP< STDPSynapticResourceRule, SynapseType > >	Shared parameters for the resource STDP
CSTDP	Common template for the all STDP implementations
CSTDPAdditiveRule	STDP additive rule parameters
CSTDPSynapticResourceRule	STDP rule with synaptic resource parameters
Csynapse_parameters	Structure for synapse parameters
Csynapse_parameters< DeltaSynapse >	Structure for delta synapse parameters
Csynapse_parameters< STDP< Rule, Synapse > >	Synapse with STDP rule
Cfalse_type	The integral_constant instance to represent the false bool value
Cnoncopyable	Ensure that objects cannot be copied
Ctrue_type	The integral_constant instance to represent the true bool value