Classes
struct	AbsSigmoidFunction
	Rational (absolute-value) sigmoid — cedar's default activation function. More...

struct	ActivationFunction
	Abstract base for activation functions applied to a neural field. More...

class	AsymmetricGaussKernel
	Spatially shifted Gaussian kernel that induces directional peak drift. More...

class	AsymmetricGaussKernel2D
	2D asymmetric Gaussian kernel that induces directional peak drift. More...

struct	AsymmetricGaussKernel2DParameters
	Parameters for AsymmetricGaussKernel2D. More...

struct	AsymmetricGaussKernelParameters
	Parameters for an asymmetric (shifted) Gaussian convolution kernel. More...

class	BoostStimulus
	Spatially uniform (homogeneous) input stimulus. More...

class	BoostStimulus2D
	Spatially uniform constant stimulus for 2D neural fields. More...

struct	BoostStimulus2DParameters

struct	BoostStimulusParameters
	Parameters for a spatially homogeneous boost stimulus. More...

class	Collapse
	Collapses a 2D input field to a 1D output by reducing along one axis. More...

struct	CollapseParameters
	Parameters for a Collapse (2D -> 1D) element. More...

class	CorrelatedNormalNoise
	Spatially correlated Gaussian noise source — cedar-compatible. More...

class	CorrelatedNormalNoise2D

struct	CorrelatedNormalNoise2DParameters

struct	CorrelatedNormalNoiseParameters
	Parameters for a spatially correlated Gaussian noise source. More...

class	Element
	Abstract base class for all simulation elements. More...

struct	ElementCategoryInfo
	Category + RGBA colour (0..255) used to render an element's type chip. More...

struct	ElementCommonParameters

struct	ElementDimensions

class	ElementFactory
	Factory that creates concrete Element objects from type labels and parameters. More...

struct	ElementIdentifiers

struct	ElementSpecificParameters

class	Expand
	Expands a 1D input field to a 2D output by broadcasting along one axis. More...

struct	ExpandParameters
	Parameters for an Expand (1D -> 2D) element. More...

class	FieldCoupling
	Full-matrix learned coupling between two neural fields. More...

struct	FieldCouplingParameters
	Parameters for a learned full-matrix field coupling. More...

struct	GaussCoupling
	A single sparse Gaussian point-coupling between two spatial locations. More...

class	GaussFieldCoupling
	Sparse Gaussian field coupling with a fixed, user-defined projection. More...

struct	GaussFieldCouplingParameters
	Parameters for a sparse Gaussian field coupling (fixed projection). More...

class	GaussKernel
	Gaussian convolution kernel providing local excitation and optional global inhibition. More...

class	GaussKernel2D

struct	GaussKernel2DParameters

struct	GaussKernelParameters
	Parameters for a Gaussian lateral interaction kernel. More...

class	GaussStimulus
	Localized Gaussian input stimulus applied to a neural field. More...

class	GaussStimulus2D

struct	GaussStimulus2DParameters

struct	GaussStimulusParameters
	Parameters for a Gaussian-shaped external stimulus. More...

struct	HeavisideFunction
	Heaviside step function. More...

class	Kernel
	Abstract base class for all convolution-based interaction kernels. More...

class	MemoryTrace
	Persistent spatial memory that accumulates and decays field activity. More...

class	MemoryTrace2D
	Persistent 2D spatial memory that accumulates and decays field activity. More...

struct	MemoryTrace2DParameters
	Parameters governing MemoryTrace2D build-up and decay dynamics. More...

struct	MemoryTraceParameters
	Parameters governing MemoryTrace build-up and decay dynamics. More...

class	MexicanHatKernel
	Difference-of-Gaussians convolution kernel for DFT lateral interactions. More...

class	MexicanHatKernel2D

struct	MexicanHatKernel2DParameters

struct	MexicanHatKernelParameters
	Parameters for a Mexican-hat lateral interaction kernel. More...

class	NeuralField
	Continuous attractor neural field — the core DFT building block. More...

class	NeuralField2D

struct	NeuralField2DBump

struct	NeuralField2DParameters

struct	NeuralField2DState

struct	NeuralFieldBump
	Describes a single activation bump (peak) in a neural field. More...

struct	NeuralFieldParameters
	Parameters that govern a NeuralField's dynamics. More...

struct	NeuralFieldState
	Snapshot of a neural field's observable state. More...

class	NormalNoise
	Additive Gaussian noise source for neural fields. More...

class	NormalNoise2D

struct	NormalNoise2DParameters

struct	NormalNoiseParameters
	Parameters for an additive normal-noise input. More...

class	OscillatoryKernel
	Damped-cosine convolution kernel for oscillatory field dynamics. More...

class	OscillatoryKernel2D
	2D oscillatory lateral-interaction kernel using separable convolution. More...

struct	OscillatoryKernel2DParameters
	Parameters for OscillatoryKernel2D. More...

struct	OscillatoryKernelParameters
	Parameters for an oscillatory (damped-cosine) convolution kernel. More...

class	Resize
	Resamples a 1D input field of size N to this element's output size M. More...

class	Resize2D
	Resamples a 2D input field of size (Nx x Ny) to this element's output size (Mx x My). More...

struct	Resize2DParameters
	Parameters for a 2D Resize element. More...

struct	ResizeParameters
	Parameters for a 1D Resize element. More...

struct	SigmoidFunction
	Logistic (exponential) sigmoid. More...

class	TimedGaussStimulus
	Gaussian stimulus that is active only during specified time intervals. More...

class	TimedGaussStimulus2D
	2D Gaussian stimulus that is active only during specified time intervals. More...

struct	TimedGaussStimulus2DParameters

struct	TimedGaussStimulusParameters

Enumerations
enum	ActivationFunctionType : int { SIGMOID , HEAVISIDE , ABSSIGMOID }
	Identifies the concrete activation function type. More...

enum class	CompressionType : int { CompressionType::SUM , CompressionType::AVERAGE , CompressionType::MAXIMUM , CompressionType::MINIMUM }
	Reduction applied when collapsing one axis of a 2D field to 1D. More...

enum class	ElementCategory : int { FIELD , STIMULUS , KERNEL , NOISE , COUPLING , MEMORY , RESHAPE , UNKNOWN }
	Coarse functional grouping of an element, independent of dimensionality. Single source of truth for the "type" shown across UI panels. More...

enum	ElementLabel : int { UNINITIALIZED , NEURAL_FIELD , GAUSS_STIMULUS , BOOST_STIMULUS , GAUSS_KERNEL , MEXICAN_HAT_KERNEL , OSCILLATORY_KERNEL , ASYMMETRIC_GAUSS_KERNEL , NORMAL_NOISE , CORRELATED_NORMAL_NOISE , FIELD_COUPLING , GAUSS_FIELD_COUPLING , MEMORY_TRACE , NEURAL_FIELD_2D , GAUSS_STIMULUS_2D , GAUSS_KERNEL_2D , MEXICAN_HAT_KERNEL_2D , NORMAL_NOISE_2D , OSCILLATORY_KERNEL_2D , TIMED_GAUSS_STIMULUS , TIMED_GAUSS_STIMULUS_2D , BOOST_STIMULUS_2D , CORRELATED_NORMAL_NOISE_2D , ASYMMETRIC_GAUSS_KERNEL_2D , MEMORY_TRACE_2D , RESIZE , RESIZE_2D , COLLAPSE , EXPAND }

enum class	InterpolationMethod : int { InterpolationMethod::LINEAR , InterpolationMethod::NEAREST , InterpolationMethod::CUBIC }
	Interpolation method used when resampling an input field to a new size. More...

enum class	ProjectionAxis : int { ProjectionAxis::X , ProjectionAxis::Y }
	Spatial axis a projection acts on. More...

Functions
const std::map< ElementLabel, ElementCategoryInfo > &	elementCategoryTable ()
	Maps every ElementLabel to its category info. The one place UI panels resolve an element's type/category from — keep this table the single source of truth (no per-window label switches).

ElementCategoryInfo	getElementCategoryInfo (const ElementLabel label)
	Category info for a label, or an UNKNOWN/grey fallback.

tools::math::ReduceOp	toReduceOp (const CompressionType type)
	Maps a CompressionType to the corresponding math reduction op.

Variables
const std::map< CompressionType, std::string >	CompressionTypeToString
	Maps CompressionType values to human-readable strings.

const std::map< ElementLabel, std::string >	ElementLabelToString

const std::map< InterpolationMethod, std::string >	InterpolationMethodToString
	Maps InterpolationMethod values to human-readable strings.

const std::map< ProjectionAxis, std::string >	ProjectionAxisToString
	Maps ProjectionAxis values to human-readable strings.

Enumeration Type Documentation

◆ ElementCategory

enum class dnf_composer::element::ElementCategory : int

strong

Coarse functional grouping of an element, independent of dimensionality. Single source of truth for the "type" shown across UI panels.

Enumerator
FIELD
STIMULUS
KERNEL
NOISE
COUPLING
MEMORY
RESHAPE	Dimension/size-bridging elements: resize, collapse, expand.
UNKNOWN

◆ ElementLabel

enum dnf_composer::element::ElementLabel : int

Enumerator
UNINITIALIZED
NEURAL_FIELD
GAUSS_STIMULUS
BOOST_STIMULUS
GAUSS_KERNEL
MEXICAN_HAT_KERNEL
OSCILLATORY_KERNEL
ASYMMETRIC_GAUSS_KERNEL
NORMAL_NOISE
CORRELATED_NORMAL_NOISE
FIELD_COUPLING
GAUSS_FIELD_COUPLING
MEMORY_TRACE
NEURAL_FIELD_2D
GAUSS_STIMULUS_2D
GAUSS_KERNEL_2D
MEXICAN_HAT_KERNEL_2D
NORMAL_NOISE_2D
OSCILLATORY_KERNEL_2D
TIMED_GAUSS_STIMULUS
TIMED_GAUSS_STIMULUS_2D
BOOST_STIMULUS_2D
CORRELATED_NORMAL_NOISE_2D
ASYMMETRIC_GAUSS_KERNEL_2D
MEMORY_TRACE_2D
RESIZE
RESIZE_2D
COLLAPSE
EXPAND

Function Documentation

◆ elementCategoryTable()

const std::map< ElementLabel, ElementCategoryInfo > & dnf_composer::element::elementCategoryTable ( )

inline

Maps every ElementLabel to its category info. The one place UI panels resolve an element's type/category from — keep this table the single source of truth (no per-window label switches).

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◆ getElementCategoryInfo()

ElementCategoryInfo dnf_composer::element::getElementCategoryInfo ( const ElementLabel label )

inline

Category info for a label, or an UNKNOWN/grey fallback.

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◆ toReduceOp()

tools::math::ReduceOp dnf_composer::element::toReduceOp ( const CompressionType type )

inline

Maps a CompressionType to the corresponding math reduction op.

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Variable Documentation

◆ CompressionTypeToString

const std::map<CompressionType, std::string> dnf_composer::element::CompressionTypeToString

inline

Initial value:

= {
        {CompressionType::SUM, "sum"},
        {CompressionType::AVERAGE, "average"},
        {CompressionType::MAXIMUM, "maximum"},
        {CompressionType::MINIMUM, "minimum"}
    }

Maps CompressionType values to human-readable strings.

◆ ElementLabelToString

const std::map<ElementLabel, std::string> dnf_composer::element::ElementLabelToString

inline

◆ InterpolationMethodToString

const std::map<InterpolationMethod, std::string> dnf_composer::element::InterpolationMethodToString

inline

Initial value:

= {
        {InterpolationMethod::LINEAR, "linear"},
        {InterpolationMethod::NEAREST, "nearest"},
        {InterpolationMethod::CUBIC, "cubic"}
    }

Maps InterpolationMethod values to human-readable strings.

◆ ProjectionAxisToString

const std::map<ProjectionAxis, std::string> dnf_composer::element::ProjectionAxisToString

inline

Initial value:

= {
        {ProjectionAxis::X, "x"},
        {ProjectionAxis::Y, "y"}
    }

Maps ProjectionAxis values to human-readable strings.

Classes

Enumerations

Functions

Variables

Enumeration Type Documentation

◆ ElementCategory

◆ ElementLabel

Function Documentation

◆ elementCategoryTable()

◆ getElementCategoryInfo()

◆ toReduceOp()

Variable Documentation

◆ CompressionTypeToString

◆ ElementLabelToString

◆ InterpolationMethodToString

◆ ProjectionAxisToString