Gestalt Models for Data Decomposition and Functional Architecture in Visual Neuroscience

The claims to bring back Gestalt theory into the Neurosciences research field have been laid on both theoretical and experimental grounds. The constraints upon which things look as they do are commonly held as explanatory and predictive phenomenological conditions that supposedly contribute to a better understanding of brain mechanisms underlying the perceptual world structures. On the other side, some views of Gestalt theory have been claimed to fit with interpretations of structures of receptive fields, and of long-range neuronal connection pathways.