A Century of Gestalt Psychology in Visual Perception: II. Conceptual and Theoretical Foundations

This article serves as the second part of a centennial review of Gestalt psychology, focusing on the conceptual and theoretical foundations of visual perception. While the first review (Wagemans et al., 2012) addressed perceptual grouping and figure-ground organization, this installment tackles the deeper, often criticized, foundational notions of Gestalt theory: holism, emergence, and the law of Prägnanz (the simplicity principle). The authors argue that while traditional Gestalt explanations—often relying on vague field-force metaphors—fell out of favor, the core phenomena remain central to vision science. By integrating modern computational, statistical, and dynamical frameworks, the authors demonstrate that these classic ideas can be operationalized and tested with contemporary rigor.

The authors review four major lines of progress that provide a scientific backbone to Gestalt principles:

• Dynamical Systems Theory: This approach models the brain as a complex adaptive system where perceptual states are attractors. It explains how the visual system balances robustness (stability) and flexibility (switching between interpretations) through mechanisms like noise-driven transitions and meta-stability.
• Measurement Principles: Drawing on Gabor’s uncertainty principle, this framework explains how visual sensors are optimized to measure both location and content. It resolves inconsistencies in apparent motion research by showing that perceptual sensitivity is governed by the economics of neural resource allocation.
• Bayesian Inference: This approach treats perception as an optimal estimation problem. It reinterprets Gestalt grouping principles as rational inferences, where the visual system combines image data with prior knowledge to select the most probable (or simplest) interpretation of a scene.
• Structural Information Theory (SIT): SIT quantifies simplicity through descriptive complexity. It proposes that the visual system captures transparent holographic regularities (like symmetry and repetition) to achieve internal efficiency, which, as a side effect, yields veridical perception of the external world.