Gestalt Theory, Data Decomposition and Functional Architecture in Visual Neuroscience

Abstract

Classical and recent result about neuronal properties, and their functions and architectural design prompted claims to bring gestalt theory to bear on neurosciences reserach. It is deemed to contribute to understand brain mechanism through descriptions of visual functions expected to be wired in the brain. The standard models of data decomposition and functional architecture in visual neuroscience are discussed. Such issues as visual primitives identification and neuronal activity integration in gestaltist terms are introduced.