Literature DB >> 16039568

The coordinated mapping of visual space and response features in visual cortex.

Hongbo Yu1, Brandon J Farley, Dezhe Z Jin, Mriganka Sur.   

Abstract

Whether general principles can explain the layouts of cortical maps remains unresolved. In primary visual cortex of ferret, the relationships between the maps of visual space and response features are predicted by a "dimension-reduction" model. The representation of visual space is anisotropic, with the elevation and azimuth axes having different magnification. This anisotropy is reflected in the orientation, ocular dominance, and spatial frequency domains, which are elongated such that their directions of rapid change, or high-gradient axes, are orthogonal to the high-gradient axis of the visual map. The feature maps are also strongly interdependent-their high-gradient regions avoid one another and intersect orthogonally where essential, so that overlap is minimized. Our results demonstrate a clear influence of the visual map on each feature map. In turn, the local representation of visual space is smooth, as predicted when many features are mapped within a cortical area.

Entities:  

Mesh:

Year:  2005        PMID: 16039568     DOI: 10.1016/j.neuron.2005.06.011

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  38 in total

1.  Rapid experience-dependent plasticity of synapse function and structure in ferret visual cortex in vivo.

Authors:  Hongbo Yu; Ania K Majewska; Mriganka Sur
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-12       Impact factor: 11.205

2.  Experience-dependent regulation of CaMKII activity within single visual cortex synapses in vivo.

Authors:  Amanda F Mower; Showming Kwok; Hongbo Yu; Ania K Majewska; Ken-Ichi Okamoto; Yasunori Hayashi; Mriganka Sur
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-12       Impact factor: 11.205

3.  Functional biases in visual cortex neurons with identified projections to higher cortical targets.

Authors:  Beata Jarosiewicz; James Schummers; Wasim Q Malik; Emery N Brown; Mriganka Sur
Journal:  Curr Biol       Date:  2012-02-02       Impact factor: 10.834

4.  Multimap formation in visual cortex.

Authors:  Rishabh Jain; Rachel Millin; Bartlett W Mel
Journal:  J Vis       Date:  2015       Impact factor: 2.240

5.  Cortical maps: where theory meets experiments.

Authors:  Aniruddha Das
Journal:  Neuron       Date:  2005-07-21       Impact factor: 17.173

6.  Two retinotopic visual areas in human lateral occipital cortex.

Authors:  Jonas Larsson; David J Heeger
Journal:  J Neurosci       Date:  2006-12-20       Impact factor: 6.167

Review 7.  Interpreting fMRI data: maps, modules and dimensions.

Authors:  Hans P Op de Beeck; Johannes Haushofer; Nancy G Kanwisher
Journal:  Nat Rev Neurosci       Date:  2008-02       Impact factor: 34.870

8.  Quantification of optical images of cortical responses for inferring functional maps.

Authors:  Gopathy Purushothaman; Ilya Khaytin; Vivien A Casagrande
Journal:  J Neurophysiol       Date:  2009-02-18       Impact factor: 2.714

9.  Organization and origin of spatial frequency maps in cat visual cortex.

Authors:  Jérôme Ribot; Yonane Aushana; Emmanuel Bui-Quoc; Chantal Milleret
Journal:  J Neurosci       Date:  2013-08-14       Impact factor: 6.167

Review 10.  Thalamocortical Circuits and Functional Architecture.

Authors:  Jens Kremkow; Jose-Manuel Alonso
Journal:  Annu Rev Vis Sci       Date:  2018-06-01       Impact factor: 6.422

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