Literature DB >> 16776584

Cortical algorithms for perceptual grouping.

Pieter R Roelfsema1.   

Abstract

A fundamental task of vision is to group the image elements that belong to one object and to segregate them from other objects and the background. This review provides a conceptual framework of how perceptual grouping may be implemented in the visual cortex. According to this framework, two mechanisms are responsible for perceptual grouping: base-grouping and incremental grouping. Base-groupings are coded by single neurons tuned to multiple features, like the combination of a color and an orientation. They are computed rapidly because they reflect the selectivity of feedforward connections. However, not all conceivable feature combinations are coded by dedicated neurons. Therefore, a second, flexible form of grouping is required called incremental grouping. Incremental grouping enhances the responses of neurons coding features that are bound in perception, but it takes more time than does base-grouping because it relies also on horizontal and feedback connections. The modulation of neuronal response strength during incremental grouping has a correlate in psychology because attention is directed to those features that are labeled by the enhanced neuronal response.

Mesh:

Year:  2006        PMID: 16776584     DOI: 10.1146/annurev.neuro.29.051605.112939

Source DB:  PubMed          Journal:  Annu Rev Neurosci        ISSN: 0147-006X            Impact factor:   12.449


  124 in total

1.  Precise spatiotemporal patterns among visual cortical areas and their relation to visual stimulus processing.

Authors:  Inbal Ayzenshtat; Elhanan Meirovithz; Hadar Edelman; Uri Werner-Reiss; Elie Bienenstock; Moshe Abeles; Hamutal Slovin
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

2.  Learning-dependent plasticity with and without training in the human brain.

Authors:  Jiaxiang Zhang; Zoe Kourtzi
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-13       Impact factor: 11.205

3.  Neuronal activity in the visual cortex reveals the temporal order of cognitive operations.

Authors:  Sancho I Moro; Michiel Tolboom; Paul S Khayat; Pieter R Roelfsema
Journal:  J Neurosci       Date:  2010-12-01       Impact factor: 6.167

4.  The primary visual cortex, and feedback to it, are not necessary for conscious vision.

Authors:  Dominic H Ffytche; Semir Zeki
Journal:  Brain       Date:  2010-11-19       Impact factor: 13.501

5.  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

6.  Learning to link visual contours.

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

7.  Receptive field focus of visual area V4 neurons determines responses to illusory surfaces.

Authors:  Michele A Cox; Michael C Schmid; Andrew J Peters; Richard C Saunders; David A Leopold; Alexander Maier
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-01       Impact factor: 11.205

8.  Feature selection in the human brain: electrophysiological correlates of sensory enhancement and feature integration.

Authors:  Andreas Keil; Matthias M Müller
Journal:  Brain Res       Date:  2009-12-11       Impact factor: 3.252

Review 9.  Steady-state visual evoked potentials as a research tool in social affective neuroscience.

Authors:  Matthias J Wieser; Vladimir Miskovic; Andreas Keil
Journal:  Psychophysiology       Date:  2016-10-04       Impact factor: 4.016

10.  Feature integration across space, time, and orientation.

Authors:  Thomas U Otto; Haluk Ogmen; Michael H Herzog
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-12       Impact factor: 3.332

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.