| DM | |
| ITUniformRandomGenerator | Specification of a random generator interface for generation of random numbers uniformly distributed in (0;1). |
| TAlias | Alias, for example for easyily referencing ports. |
| TBigFloat | numerical type for floating point numbers with arbitrary size and precision. |
| TBigInteger | numeric type for arbitrary large (non-negative) integer numbers. |
| TCompSource | represents composite sources, i.e., sources that consist of a set of other sources. |
| TComponent | Base class for all simulation components such as neurons or connections. |
| TConstantLibrary | Library class for important mathematical functions. |
| TCuboidLT | class for multi-dimensional cuboid layouts (e.g. points, lines, grids, cuboids, etc.). |
| TCuboidLT::TPos | |
| TCuboidLT::TzcPos | |
| TDefBlockSource | represents a definition block #def def_id(par_1,...,par_n) {text}. |
| TDefSource | represents modified definitions conveyed by arguments of main(). |
| TDelay | Base class for all multi-modal Delays. |
| TDelayDist | Base class for specification of distance dependence for synaptic delays according to various distance measures. |
| TDelayNoise | Base class for specification of noisy synaptic delays. |
| TFileSource | represents content of a file. |
| TFunctionLibrary | Library class for important mathematical functions. |
| TGNeuron | Gradual Neuron model comparable to the SSNeuron model. |
| TIFNeuron | Simple Integrate-And-Fire-Neuron. |
| TKernel | base type for kernels. |
| TKernelDescriptor | specifies the kernel type. |
| TKernelMapping | specifies information about the mapping of a set of kernels onto a layout. |
| TLayout | base type for layouts for defining spatial arrangements of elements. |
| TMAssoConnection | template for topographical delayed connections with kernels according to the Willshaw associative memory. |
| TMAssociation | base template for association connections for technical associative memory (TAM). |
| TMAssociationPopulation | base template for neuron populations for association connections for technical associative memory (TAM). |
| TMAutoWillshawTAMP | TAM-population including auto-associative Willshaw connection. |
| TMAxisPG | Template class for patterns representating an axis system in space. |
| TMBinaryRandomPG | Template class for pattern groups with parsed patterns. |
| TMBlankPG | Template class for pattern groups with parsed patterns. |
| TMBlankTopoConnection | template for topographical delayed connections with BlankTopo kernels. |
| TMCompartment | template for state variables of a neuron compartment. |
| TMCompartmentReceptors | parseable container class for receptors of a compartment. |
| TMConfSpacePG | Template class for pattern groups defined by configurations of a TMConfigurationSpace space. |
| TMConfigurationSpace | |
| TMConnectionPG | Template class for pattern groups defined by output of a connection. |
| TMCorrelatedNoise | |
| TMCubeParameter | Template for 3d array of numerical parameters. |
| TMDelayKernelConnection | |
| TMDemoBlankTopoConnection | |
| TMDerivScope | Definition of derivation scopes for components integrating state variables using Integrator objects. |
| TMDiscreteSR | |
| TMDummyPatternContainer | |
| TMEllipsoidLT | definition of a ellipsoid subspace of a TCuboidLT. |
| TMEllipsoidLT::TPos | |
| TMEulerIntegrator | Template for integration of ODEs using the simple (first order) Euler method with constant step size. |
| TMFileIH | |
| TMFileInpNeuron | |
| TMGaussConnection | |
| TMGradualRandomPG | Template class for pattern groups with parsed patterns. |
| TMGroupingPRU | |
| TMHuffmanCode | Huffman code for compressed binary packed matrix. |
| TMHuffmanNode | Huffman node for TMHuffmanCode. |
| TMImageObject | |
| TMImageSegment | |
| TMInpNeuron | |
| TMInputHandle | |
| TMInputHandleNeuron | |
| TMIntegrator | Abstract template base class for Integrators of ordinary differential equations dy/dt = f(t,y). |
| TMIntegratorClient | Base class for clients of the integrator classes (e.g. components). |
| TMKernel | base template type for kernels. |
| TMKernelDY | Kernelled Delays, e.g. for topographic connections. |
| TMLineSegment | |
| TMLookUpTable | look-up tables for looking-up or linear interpolation of mathematical functions. |
| TMMarray | template for multi-dimensional arrays of any type T. |
| TMMarrayParameter | Template for multidim-array parameters. |
| TMMatrixParameter | Template for two-dimensional array of numerical parameters. |
| TMMirrorBotSimpleEnvironment | Dummy environment for test of the language, goal, and motor areas of the MirrorBot project. |
| TMNoise | Base class for all noise populations. |
| TMNumMarray | template for numerical multi-arrays of numerical type TNum. |
| TMNumMarrayParameter | Template for numerical multi-dim-array parameters. |
| TMNumParameter | Base template for numerical parameters of TParamOwners. |
| TMObject | |
| TMOffDynamicsRP | receptor port with reversal-potential; input causes instantaeous conductance increase followed by exponential decay. |
| TMOnOffDynamicsRP | receptor port with reversal potential and on/off dynamics. |
| TMParameter0D | Template for a single (0-dim.) parameter. |
| TMParameter1D | Template for one-dimensional parameters. |
| TMParameter2D | Template for two-dimensional numerical parameters. |
| TMParsedPG | Template class for pattern groups with parsed patterns. |
| TMPattern | Base template class for patterns. |
| TMPatternContainer | Abstract template for access to pattern containers of classes TMPatternGroup or TMPatternStock. |
| TMPatternGroup | Base template class for pattern groups. |
| TMPatternHistogram | template class to view histograms of state variables corresponding to patterns. |
| TMPatternRanking | template class to compare and rank an activity pattern with the patterns of a pattern container. |
| TMPatternRecord | |
| TMPatternRecordUnit | |
| TMPatternStock | parseable container template class for pattern groups. |
| TMPointSegment | |
| TMPort | base template class for queued ports for communication between system components. |
| TMRK4cIntegrator | Template for integration of ODEs using forth order Runge-Kutta with constant step size. |
| TMRandomConnection | |
| TMRandomGenerator | Base template class for random generators. |
| TMRange | Class for specifying valid parameter range and the interface to (discrete valued) sliders. |
| TMReceptorPort | abstract base template for receptor ports. |
| TMSTDPLearnerFD2002 | |
| TMSTDPLearnerSMA2000 | |
| TMScalarParameter | Template for scalar numerical parameters. |
| TMSegment | |
| TMSimple121Connection | |
| TMSimpleNMDARP | NMDA receptor port with off-dynamics of receptor saturation. |
| TMSpace | |
| TMSpaceRepresentation | |
| TMSparsePRU | |
| TMTopoConnection | |
| TMTopoRandomPG | Template class for topographic random pattern groups. |
| TMUniformNoise | |
| TMV1Connection | |
| TMVector | |
| TMVectorArray | |
| TMVectorArrayPar | |
| TMVectorPar | |
| TMVectorParameter | Template for one-dimensional numerical parameter. |
| TMWillshawAssociation | template for clipped binary associative connections for technical associative memory (TAM), Willshaw'69,Palm'80. |
| TMbPattern | template class for binary patterns. |
| TMcWillshawAssociation | base template for Willshaw associative memory with binary clipped matrices using compressed packed matrices. |
| TMcpMatrix | compressed binary packed matrix. |
| TMpKernel | base template type for binary packed kernels. |
| TMpMatrix | binary packed matrix. |
| TMsKernel | base template type for sparse kernels. |
| TMsPattern | Template class for sparse patterns. |
| TMsbKernel | base template type for sparse binary kernels. |
| TMsbPattern | Template class for sparse binary patterns. |
| TMsbSTPattern | Template class for sparse binary spatio-temporal patterns. |
| TNeuron | Base class for all neuron populations. |
| TObjectMB | Object representation for the MirrorBotSimpleEnvironment. |
| TPRNeuron | |
| TParamOwner | Abstract base type for parameter owner. |
| TParameter | Base type for parameters of TComponents. |
| TParser | Parser class for parsing of Felix2 objects such as components or parameters. |
| TPersonMB | Representation of a person for the MirrorBotSimpleEnvironment. |
| TProjectionMap | projection information for two TCuboidLT layouts. |
| TRandGenLE0 | Long period (>2*10^18) random generator as proposed by L'Ecuyer.
|
| TRandGenLEs | Long period (>2*10^18) random generator as proposed by L'Ecuyer, incl. Bays-Durham shuffle and safeguards. |
| TRandGenLGM0 | Default uniform 32bit random generator as proposed by Lewis, Goodman, and Miller in 1969, see ran0() in Press'91. |
| TRandGenLGMs | Default uniform 32bit random generator as proposed by Lewis, Goodman, and Miller in 1969, see ran1() in Press'91. |
| TSGNeuron | |
| TSSCOscillator | |
| TSSNeuron | Simple Spiking Neuron. |
| TSimulationEnvironment | Simulation Environment for the Felix2 simulator containing all simulation components. |
| TSliderRange | Interface to control a TMNumParameter via an integer valued Slider as in Felix. |
| TSource | base class for parse sources. |
| TSourceAnchor | Utility class for TSource for localization of parse errors. |
| TSourcePos | Utility class for positions within TSource. |
| TTime | |
| TdRand48Generator | Default uniform 48bit random generator implementation as delivered by the system's xrand48() functions. |
| libasso | |