Theoretical concepts

Position bias

Part–whole structure

Uncertainty-aware grouping

Category collapsing

Local consistency

Complexity proxy

Rolling evaluation window

Nonlinear interaction

Invariant

Path dependence

Higher-order representation

Identity reconstruction

Entropy

Locality

Hidden state

Image

Address map

Self-similarity

Temporal smoothing

Microstate

Contradiction

Perceptual constancy

Depth cues

Shape constancy

Boundary terms

Factor object

Paradigm

Counterexample

Parameter

Regression to the mean

Modality

Steady state

Internal consistency

Topological compactification

Dominated solution

Impact–effort thinking

Advantage

Bag semantics

distributed representations

data hunger

Underfitting

Feature space

Position evaluation heuristics

Selective search vs brute force

Differential Privacy

Bias-Variance Tradeoff

McCulloch–Pitts neuron

pattern recognition

parallel distributed processing

prior probability