dnf_composer::element::NeuralFieldState Struct Reference

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

#include <neural_field.h>

Collaboration diagram for dnf_composer::element::NeuralFieldState:

Public Member Functions
	NeuralFieldState ()
void	print () const
std::string	toString () const

Public Attributes
std::vector< NeuralFieldBump >	bumps
	Currently active above-threshold peaks.
double	highestActivation
	Maximum activation across the field.
double	lowestActivation
	Minimum activation across the field.
double	previousActivationAvg = 0.0
	Activation average at the previous step — used to detect convergence.
double	previousActivationNorm = 0.0
	L2 norm of activation at the previous step — used to detect convergence.
double	previousActivationSum = 0.0
	Activation sum at the previous step — used to detect convergence.
bool	stable
	True when the activation change falls below the stability threshold.
double	thresholdForStability
	Convergence criterion (default 0.895).

Detailed Description

Snapshot of a neural field's observable state.

Constructor & Destructor Documentation

NeuralFieldState()

dnf_composer::element::NeuralFieldState::NeuralFieldState ( )

inline

Member Function Documentation

print()

void dnf_composer::element::NeuralFieldState::print

(

)

const

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toString()

std::string dnf_composer::element::NeuralFieldState::toString ( ) const

inline

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Member Data Documentation

bumps

std::vector<NeuralFieldBump> dnf_composer::element::NeuralFieldState::bumps

Currently active above-threshold peaks.

highestActivation

double dnf_composer::element::NeuralFieldState::highestActivation

Maximum activation across the field.

lowestActivation

double dnf_composer::element::NeuralFieldState::lowestActivation

Minimum activation across the field.

previousActivationAvg

double dnf_composer::element::NeuralFieldState::previousActivationAvg = 0.0

Activation average at the previous step — used to detect convergence.

previousActivationNorm

double dnf_composer::element::NeuralFieldState::previousActivationNorm = 0.0

L2 norm of activation at the previous step — used to detect convergence.

previousActivationSum

double dnf_composer::element::NeuralFieldState::previousActivationSum = 0.0

Activation sum at the previous step — used to detect convergence.

stable

bool dnf_composer::element::NeuralFieldState::stable

True when the activation change falls below the stability threshold.

thresholdForStability

double dnf_composer::element::NeuralFieldState::thresholdForStability

Convergence criterion (default 0.895).

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The documentation for this struct was generated from the following files:

• include/elements/neural_field.h
• src/element_parameters/neural_field_parameters.cpp
• src/elements/neural_field.cpp