Cortical Dynamics of Feature Binding and Reset: Control of Visual Persistence


Autoria(s): Francis, Gregory; Grossberg, Stephen; Mingolla, Ennio
Data(s)

14/11/2011

14/11/2011

01/06/1993

Resumo

An analysis of the reset of visual cortical circuits responsible for the binding or segmentation of visual features into coherent visual forms yields a model that explains properties of visual persistence. The reset mechanisms prevent massive smearing or visual percepts in response to rapidly moving images. The model simulates relationships among psychophysical data showing inverse relations of persistence to flash luminance and duration, greaterr persistence of illusory contours than real contours, a U-shaped temporal function for persistence of illusory contours, a reduction of persistence: due to adaptation with a stimulus of like orientation, an increase or persistence due to adaptation with a stimulus of perpendicular orientation, and an increase of persistence with spatial separation of a masking stimulus. The model suggests that a combination of habituative, opponent, and endstopping mechanisms prevent smearing and limit persistence. Earlier work with the model has analyzed data about boundary formation, texture segregation, shape-from-shading, and figure-ground separation. Thus, several types of data support each model mechanism and new predictions are made.

National Science Foundation (Graduate Fellowship); Air Force Office of Scientific Research (90-0175); Office of Naval Research (N00014-91-J-4100); Defense Advanced Research Projects Agency (90-0083)

Identificador

http://hdl.handle.net/2144/2106

Idioma(s)

en_US

Publicador

Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems

Relação

BU CAS/CNS Technical Reports;CAS/CNS-TR-1992-026

Direitos

Copyright 1992 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.

Boston University Trustees

Palavras-Chave #Vision #Neural networks #Visual cortex #Visual persistence #Feature binding #Illusory contours #Off-cells
Tipo

Technical Report