Literature DB >> 12003864

The organization of orientation selectivity throughout macaque visual cortex.

Wim Vanduffel1, Roger B H Tootell, Aniek A Schoups, Guy A Orban.   

Abstract

A double-label deoxyglucose technique was used to study orientation columns throughout visual cortex in awake behaving macaques. Four macaques were trained to fixate while contrastreversing, stationary gratings or one-dimensional noise of a single orientation or an orthogonal orientation were presented, during uptake of [14C]deoxyglucose ([14C]DG) or [3H]DG, respectively. The two orthogonal stimulus orientations produced DG-labeled columns that were maximally separated in the two isotope maps (inter-digitated) in four areas: V1, V2, V3 and VP. The topographic change from interdigitated to overlapping columns occurred abruptly rather than gradually, at corresponding cortical area borders (e.g. VP and V4v, respectively). In addition, the data suggest that orientation column topography systematically changes with retinotopic eccentricity. In V1, the orientation columns systematically avoided the cytochrome oxidase blobs in the parafoveal representation, but converged closer to the blobs in the foveal representation. A control experiment indicated that this was unlikely to reflect eccentricity-dependent differences in cortical spatial frequency sensitivity. A similar eccentricity-dependent change in the topography of orientation columns occurred in V2. In parafoveal but not foveal visual field representations of V2, the orientation columns were centered on the thick cytochrome oxidase stripes, extended into the adjacent interstripe region, but were virtually absent in the thin stripes.

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Year:  2002        PMID: 12003864     DOI: 10.1093/cercor/12.6.647

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  42 in total

1.  Projections from primary visual cortex to cytochrome oxidase thin stripes and interstripes of macaque visual area 2.

Authors:  Youping Xiao; Daniel J Felleman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-26       Impact factor: 11.205

2.  Generalization of learning by synchronous waves: from perceptual organization to invariant organization.

Authors:  David M Alexander; Chris Trengove; Phillip E Sheridan; Cees van Leeuwen
Journal:  Cogn Neurodyn       Date:  2010-12-10       Impact factor: 5.082

3.  The influence of cortical feature maps on the encoding of the orientation of a short line.

Authors:  K N Shokhirev; T Kumar; D A Glaser
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

4.  Functional organization of color domains in V1 and V2 of macaque monkey revealed by optical imaging.

Authors:  Haidong D Lu; Anna W Roe
Journal:  Cereb Cortex       Date:  2007-06-18       Impact factor: 5.357

5.  Two projection streams from macaque V1 to the pale cytochrome oxidase stripes of V2.

Authors:  Frederick Federer; Delaney Williams; Jennifer M Ichida; Sam Merlin; Alessandra Angelucci
Journal:  J Neurosci       Date:  2013-07-10       Impact factor: 6.167

6.  Mapping of contextual modulation in the population response of primary visual cortex.

Authors:  David M Alexander; Cees Van Leeuwen
Journal:  Cogn Neurodyn       Date:  2009-11-07       Impact factor: 5.082

7.  Four projection streams from primate V1 to the cytochrome oxidase stripes of V2.

Authors:  Frederick Federer; Jennifer M Ichida; Janelle Jeffs; Ingo Schiessl; Niall McLoughlin; Alessandra Angelucci
Journal:  J Neurosci       Date:  2009-12-09       Impact factor: 6.167

8.  Functional organization of visual cortex in the owl monkey.

Authors:  Xiangmin Xu; William Bosking; Gyula Sáry; James Stefansic; Daniel Shima; Vivien Casagrande
Journal:  J Neurosci       Date:  2004-07-14       Impact factor: 6.167

9.  Multiscale pattern analysis of orientation-selective activity in the primary visual cortex.

Authors:  Jascha D Swisher; J Christopher Gatenby; John C Gore; Benjamin A Wolfe; Chan-Hong Moon; Seong-Gi Kim; Frank Tong
Journal:  J Neurosci       Date:  2010-01-06       Impact factor: 6.167

10.  PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.

Authors:  Michael Hanke; Yaroslav O Halchenko; Per B Sederberg; Stephen José Hanson; James V Haxby; Stefan Pollmann
Journal:  Neuroinformatics       Date:  2009-01-28
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