Literature DB >> 14570253

Strategies of shape representation in macaque visual area V2.

Jay Hegdé1, David C Van Essen.   

Abstract

Contours and surface textures provide powerful cues used in image segmentation and the analysis of object shape. To learn more about how the visual system extracts and represents these visual cues, we studied the responses of V2 neurons in awake, fixating monkeys to complex contour stimuli (angles, intersections, arcs, and circles) and texture patterns such as non-Cartesian gratings, along with conventional bars and sinusoidal gratings. Substantial proportions of V2 cells conveyed information about many contour and texture characteristics associated with our stimuli, including shape, size, orientation, and spatial frequency. However, the cells differed considerably in terms of their degree of selectivity for the various stimulus characteristics. On average, V2 cells responded better to grating stimuli but were more selective for contour stimuli. Metric multidimensional scaling and principal components analysis showed that, as a population, V2 cells show strong correlations in how they respond to different stimulus types. The first two and five principal components accounted for 69% and 85% of the overall response variation, respectively, suggesting that the response correlations simplified the population representation of shape information with relatively little loss of information. Moreover, smaller random subsets of the population carried response correlation patterns very similar to the population as a whole, indicating that the response correlations were a widespread property of V2 cells. Thus, V2 cells extract information about a number of higher order shape cues related to contours and surface textures and about similarities among many of these shape cues. This may reflect an efficient strategy of representing cues for image segmentation and object shape using finite neuronal resources.

Mesh:

Year:  2003        PMID: 14570253     DOI: 10.1017/s0952523803203102

Source DB:  PubMed          Journal:  Vis Neurosci        ISSN: 0952-5238            Impact factor:   3.241


  19 in total

1.  Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet.

Authors:  Edmund T Rolls
Journal:  Front Comput Neurosci       Date:  2012-06-19       Impact factor: 2.380

2.  Orientation-selective adaptation to first- and second-order patterns in human visual cortex.

Authors:  Jonas Larsson; Michael S Landy; David J Heeger
Journal:  J Neurophysiol       Date:  2005-10-12       Impact factor: 2.714

3.  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

4.  Eye dominance predicts fMRI signals in human retinotopic cortex.

Authors:  Janine D Mendola; Ian P Conner
Journal:  Neurosci Lett       Date:  2006-12-15       Impact factor: 3.046

5.  Glass pattern responses in macaque V2 neurons.

Authors:  Matthew A Smith; Adam Kohn; J Anthony Movshon
Journal:  J Vis       Date:  2007-02-27       Impact factor: 2.240

6.  Visual response properties of V1 neurons projecting to V2 in macaque.

Authors:  Yasmine El-Shamayleh; Romesh D Kumbhani; Neel T Dhruv; J Anthony Movshon
Journal:  J Neurosci       Date:  2013-10-16       Impact factor: 6.167

7.  Laminar and orientation-dependent characteristics of spatial nonlinearities: implications for the computational architecture of visual cortex.

Authors:  Jonathan D Victor; Ferenc Mechler; Ifije Ohiorhenuan; Anita M Schmid; Keith P Purpura
Journal:  J Neurophysiol       Date:  2009-10-07       Impact factor: 2.714

8.  Neural Correlate of Visual Familiarity in Macaque Area V2.

Authors:  Ge Huang; Suchitra Ramachandran; Tai Sing Lee; Carl R Olson
Journal:  J Neurosci       Date:  2018-09-04       Impact factor: 6.167

9.  Early monocular defocus disrupts the normal development of receptive-field structure in V2 neurons of macaque monkeys.

Authors:  Xiaofeng Tao; Bin Zhang; Guofu Shen; Janice Wensveen; Earl L Smith; Shinji Nishimoto; Izumi Ohzawa; Yuzo M Chino
Journal:  J Neurosci       Date:  2014-10-08       Impact factor: 6.167

10.  Curvature domains in V4 of macaque monkey.

Authors:  Jia Ming Hu; Xue Mei Song; Qiannan Wang; Anna Wang Roe
Journal:  Elife       Date:  2020-11-19       Impact factor: 8.140

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