Literature DB >> 2723747

Mechanisms of contour perception in monkey visual cortex. I. Lines of pattern discontinuity.

R von der Heydt1, E Peterhans.   

Abstract

We have studied the mechanism of contour perception by recording from neurons in the visual cortex of alert rhesus monkeys. In order to assess the relationship between neural signals and perception, we compared the responses to edges and lines with the responses to patterns in which human observers perceive a contour where no line or edge is given (anomalous contour), such as the border between gratings of thin lines offset by half a cycle. With only one exception out of 60, orientation-selective neurons in area V1 did not signal the anomalous contour. Many neurons failed to respond to this stimulus at all, others responded according to the orientation of the grating lines. In area V2, 45 of 103 neurons (44%) signaled the orientation of the anomalous contour. Sixteen did so without signaling the orientation of the inducing lines. Some responded better to anomalous contours than to the optimum bars or edges. Preferred orientations and widths of tuning for anomalous contour and bar or edge were found to be highly correlated, but not identical, in each neuron. Similar to perception, the neuronal responses depended on a minimum number of lines inducing the contour, but not so much on line spacing, and tended to be weaker when the lines were oblique rather than orthogonal to the border. With oblique lines, the orientations signaled were biased towards the orientation orthogonal to the lines, as in the Zöllner illusion. We conclude that contours may be defined first at the level of V2. While the unresponsiveness of neurons in V1 to this type of anomalous contour is in agreement with linear filter predictions, the responses of V2 neurons need to be explained. We assume that they sum the signals of 2 parallel paths, one that defines edges and lines and another that defines anomalous contours by pooling signals from end-stopped receptive fields oriented mainly orthogonal to the contour.

Entities:  

Mesh:

Year:  1989        PMID: 2723747      PMCID: PMC6569817     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  90 in total

1.  The representation of illusory and real contours in human cortical visual areas revealed by functional magnetic resonance imaging.

Authors:  J D Mendola; A M Dale; B Fischl; A K Liu; R B Tootell
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

2.  Asymmetric suppression outside the classical receptive field of the visual cortex.

Authors:  G A Walker; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  1999-12-01       Impact factor: 6.167

3.  Visual responses in monkey areas V1 and V2 to three-dimensional surface configurations.

Authors:  J S Bakin; K Nakayama; C D Gilbert
Journal:  J Neurosci       Date:  2000-11-01       Impact factor: 6.167

4.  Coding of border ownership in monkey visual cortex.

Authors:  H Zhou; H S Friedman; R von der Heydt
Journal:  J Neurosci       Date:  2000-09-01       Impact factor: 6.167

5.  The spatiotemporal dynamics of illusory contour processing: combined high-density electrical mapping, source analysis, and functional magnetic resonance imaging.

Authors:  Micah M Murray; Glenn R Wylie; Beth A Higgins; Daniel C Javitt; Charles E Schroeder; John J Foxe
Journal:  J Neurosci       Date:  2002-06-15       Impact factor: 6.167

6.  The perceived strength of illusory contours.

Authors:  T Banton; D M Levi
Journal:  Percept Psychophys       Date:  1992-12

7.  Parallel discrimination of subjective contours defined by offset gratings.

Authors:  R Gurnsey; G K Humphrey; P Kapitan
Journal:  Percept Psychophys       Date:  1992-09

8.  Dynamic changes in receptive-field size in cat primary visual cortex.

Authors:  M W Pettet; C D Gilbert
Journal:  Proc Natl Acad Sci U S A       Date:  1992-09-01       Impact factor: 11.205

9.  Visual interpolation for contour completion by the European cuttlefish (Sepia officinalis) and its use in dynamic camouflage.

Authors:  Sarah Zylinski; Anne-Sophie Darmaillacq; Nadav Shashar
Journal:  Proc Biol Sci       Date:  2012-02-15       Impact factor: 5.349

10.  Lorazepam and diazepam effects on memory acquisition in priming tasks.

Authors:  P Vidailhet; J M Danion; F Kauffmann-Muller; D Grangé; A Giersch; M van der Linden; J L Imbs
Journal:  Psychopharmacology (Berl)       Date:  1994-07       Impact factor: 4.530

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.