Literature DB >> 21543756

The speed of context integration in the visual cortex.

Tadashi Sugihara1, Fangtu T Qiu, Rüdiger von der Heydt.   

Abstract

The observation of figure-ground selectivity in neurons of the visual cortex shows that these neurons can be influenced by the image context far beyond the classical receptive field. To clarify the nature of the context integration mechanism, we studied the latencies of neural edge signals, comparing the emergence of context-dependent definition of border ownership with the onset of local edge definition (contrast polarity; stereoscopic depth order). Single-neuron activity was recorded in areas V1 and V2 of Macaca mulatta under behaviorally induced fixation. Whereas local edge definition emerged immediately (<13 ms) after the edge onset response, the context-dependent signal was delayed by about 30 ms. To see if the context influence was mediated by horizontal fibers within cortex, we measured the latencies of border ownership signals for two conditions in which the relevant context information was located at different distances from the receptive field and compared the latency difference with the difference predicted from horizontal signal propagation. The prediction was based on the increase in cortical distance, computed from the mapping of the test stimuli in the cortex, and the known conduction velocities of horizontal fibers. The measured latencies increased with cortical distance, but much less than predicted by the horizontal propagation hypothesis. Probability calculations showed that an explanation of the context influence by horizontal signal propagation alone is highly unlikely, whereas mechanisms involving back projections from other extrastriate areas are plausible.

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Year:  2011        PMID: 21543756      PMCID: PMC3129740          DOI: 10.1152/jn.00928.2010

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  45 in total

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Authors:  R von der Heydt; H Zhou; H S Friedman
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Review 2.  Integrated model of visual processing.

Authors:  J Bullier
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3.  Temperature sensitivity of thin unmyelinated fibers in rat hippocampal cortex.

Authors:  J Berg-Johnsen; I A Langmoen
Journal:  Brain Res       Date:  1992-04-03       Impact factor: 3.252

4.  Early and late mechanisms of surround suppression in striate cortex of macaque.

Authors:  Ben S Webb; Neel T Dhruv; Samuel G Solomon; Chris Tailby; Peter Lennie
Journal:  J Neurosci       Date:  2005-12-14       Impact factor: 6.167

5.  Figure and ground in the visual cortex: v2 combines stereoscopic cues with gestalt rules.

Authors:  Fangtu T Qiu; Rüdiger von der Heydt
Journal:  Neuron       Date:  2005-07-07       Impact factor: 17.173

6.  Contribution of feedforward thalamic afferents and corticogeniculate feedback to the spatial summation area of macaque V1 and LGN.

Authors:  Alessandra Angelucci; Kesi Sainsbury
Journal:  J Comp Neurol       Date:  2006-09-20       Impact factor: 3.215

7.  The mapping of visual space onto foveal striate cortex in the macaque monkey.

Authors:  B M Dow; R G Vautin; R Bauer
Journal:  J Neurosci       Date:  1985-04       Impact factor: 6.167

8.  Cortical hierarchy reflected in the organization of intrinsic connections in macaque monkey visual cortex.

Authors:  Y Amir; M Harel; R Malach
Journal:  J Comp Neurol       Date:  1993-08-01       Impact factor: 3.215

9.  Cortical point-spread function and long-range lateral interactions revealed by real-time optical imaging of macaque monkey primary visual cortex.

Authors:  A Grinvald; E E Lieke; R D Frostig; R Hildesheim
Journal:  J Neurosci       Date:  1994-05       Impact factor: 6.167

10.  Synaptic physiology of horizontal connections in the cat's visual cortex.

Authors:  J A Hirsch; C D Gilbert
Journal:  J Neurosci       Date:  1991-06       Impact factor: 6.167

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  24 in total

1.  Neurophysiological constraints on models of illusory contours.

Authors:  Rüdiger von der Heydt
Journal:  Cogn Neurosci       Date:  2013       Impact factor: 3.065

2.  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

3.  Corticocortical feedback contributes to surround suppression in V1 of the alert primate.

Authors:  Jonathan J Nassi; Stephen G Lomber; Richard T Born
Journal:  J Neurosci       Date:  2013-05-08       Impact factor: 6.167

4.  Spike synchrony reveals emergence of proto-objects in visual cortex.

Authors:  Anne B Martin; Rüdiger von der Heydt
Journal:  J Neurosci       Date:  2015-04-29       Impact factor: 6.167

5.  Temporal processing characteristics of the Ponzo illusion.

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Journal:  Psychol Res       Date:  2015-03-13

6.  Temporally evolving gain mechanisms of attention in macaque area V4.

Authors:  Ilaria Sani; Elisa Santandrea; Maria Concetta Morrone; Leonardo Chelazzi
Journal:  J Neurophysiol       Date:  2017-05-03       Impact factor: 2.714

7.  Figure and ground: how the visual cortex integrates local cues for global organization.

Authors:  Rüdiger von der Heydt; Nan R Zhang
Journal:  J Neurophysiol       Date:  2018-07-25       Impact factor: 2.714

8.  The role of visual area V4 in the discrimination of partially occluded shapes.

Authors:  Yoshito Kosai; Yasmine El-Shamayleh; Amber M Fyall; Anitha Pasupathy
Journal:  J Neurosci       Date:  2014-06-18       Impact factor: 6.167

9.  Spike synchrony generated by modulatory common input through NMDA-type synapses.

Authors:  Nobuhiko Wagatsuma; Rüdiger von der Heydt; Ernst Niebur
Journal:  J Neurophysiol       Date:  2016-07-13       Impact factor: 2.714

10.  Figure-ground organization in the visual cortex: does meaning matter?

Authors:  Hee-Kyoung Ko; Rüdiger von der Heydt
Journal:  J Neurophysiol       Date:  2017-10-04       Impact factor: 2.714

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