Literature DB >> 12410329

Contour integration in striate cortex. Classic cell responses or cooperative selection?

Roman Bauer1, Sabine Heinze.   

Abstract

Psychophysics has established various rules of contour integration in gestalt perception. We tested the rule of good continuation by stimulating behaving monkeys with simple figures composed of Gabor patches, while recording from upper layer cells in visual cortex (V1). By decomposing these figures into their components and stimulating receptive field centers and surrounds separately with this stimulus set, we tested center-surround interaction for linearity. In pure-fixation tasks, the interaction was negative for the early strong evoked response, i.e., in this phase figural context rather inhibited the cells. However, in the following tonic response phase, a subgroup of neurons showed positive interaction during the whole stimulus presentation period of at least 1,000 ms. Attention to the figure in discrimination tasks only slightly improved this positive interaction between 150 and 300 ms. We interpret these results as selective cooperation and mutual facilitation of cortical V1 cells, thereby supporting the saliency of borders and contours in perception of visual scenes.

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Year:  2002        PMID: 12410329     DOI: 10.1007/s00221-002-1178-6

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  20 in total

1.  Responses of V1 neurons to two-dimensional hermite functions.

Authors:  Jonathan D Victor; Ferenc Mechler; Michael A Repucci; Keith P Purpura; Tatyana Sharpee
Journal:  J Neurophysiol       Date:  2005-09-07       Impact factor: 2.714

2.  Dissociation of early evoked cortical activity in perceptual grouping.

Authors:  Andrey R Nikolaev; Sergei Gepshtein; Michael Kubovy; Cees van Leeuwen
Journal:  Exp Brain Res       Date:  2007-11-24       Impact factor: 1.972

3.  Learning to link visual contours.

Authors:  Wu Li; Valentin Piëch; Charles D Gilbert
Journal:  Neuron       Date:  2008-02-07       Impact factor: 17.173

4.  Adapting to altered image statistics using processed video.

Authors:  Michael Falconbridge; David Wozny; Ladan Shams; Stephen A Engel
Journal:  Vision Res       Date:  2009-04-11       Impact factor: 1.886

5.  Computing local edge probability in natural scenes from a population of oriented simple cells.

Authors:  Chaithanya A Ramachandra; Bartlett W Mel
Journal:  J Vis       Date:  2013-12-31       Impact factor: 2.240

6.  Network model of top-down influences on local gain and contextual interactions in visual cortex.

Authors:  Valentin Piëch; Wu Li; George N Reeke; Charles D Gilbert
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-07       Impact factor: 11.205

7.  Interactions between feedback and lateral connections in the primary visual cortex.

Authors:  Hualou Liang; Xiajing Gong; Minggui Chen; Yin Yan; Wu Li; Charles D Gilbert
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-24       Impact factor: 11.205

8.  Disambiguating the roles of area V1 and the lateral occipital complex (LOC) in contour integration.

Authors:  Marina Shpaner; Sophie Molholm; Emmajane Forde; John J Foxe
Journal:  Neuroimage       Date:  2012-11-28       Impact factor: 6.556

9.  Rapid processing of closure and viewpoint-invariant symmetry: behavioral criteria for feedforward processing.

Authors:  Filipp Schmidt; Thomas Schmidt
Journal:  Psychol Res       Date:  2013-02-13

10.  Spatio-temporal low-level neural networks account for visual masking.

Authors:  Uri Polat; Anna Sterkin; Oren Yehezkel
Journal:  Adv Cogn Psychol       Date:  2008-07-15
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