Literature DB >> 1896085

Iso-orientation domains in cat visual cortex are arranged in pinwheel-like patterns.

T Bonhoeffer1, A Grinvald.   

Abstract

The mammalian cortex is organized in a columnar fashion: neurons lying below each other from the pia to the white matter usually share many functional properties. Across the cortical surface, cells with similar response properties are also clustered together, forming elongated bands or patches. Some response properties, such as orientation preference in the visual cortex, change gradually across the cortical surface forming 'orientation maps'. To determine the precise layout of iso-orientation domains, knowledge of responses not only to one but to many stimulus orientations is essential. Therefore, the exact depiction of orientation maps has been hampered by technical difficulties and remained controversial for almost thirty years. Here we use in vivo optical imaging based on intrinsic signals to gather information on the responses of a piece of cortex to gratings in many different orientations. This complete set of responses then provides detailed information on the structure of the orientation map in a large patch of cortex from area 18 of the cat. We find that cortical regions that respond best to one orientation form highly ordered patches rather than elongated bands. These iso-orientation patches are organized around 'orientation centres', producing pinwheel-like patterns in which the orientation preference of cells is changing continuously across the cortex. We have also analysed our data for fast changes in orientation preference and find that these 'fractures' are limited to the orientation centres. The pinwheels and orientation centres are such a prominent organizational feature that it should be important to understand their development as well as their function in the processing of visual information.

Entities:  

Mesh:

Year:  1991        PMID: 1896085     DOI: 10.1038/353429a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  227 in total

1.  Neurotrophin-4/5 alters responses and blocks the effect of monocular deprivation in cat visual cortex during the critical period.

Authors:  D C Gillespie; M C Crair; M P Stryker
Journal:  J Neurosci       Date:  2000-12-15       Impact factor: 6.167

2.  Functional specificity of callosal connections in tree shrew striate cortex.

Authors:  W H Bosking; R Kretz; M L Pucak; D Fitzpatrick
Journal:  J Neurosci       Date:  2000-03-15       Impact factor: 6.167

3.  A neuronal network model of macaque primary visual cortex (V1): orientation selectivity and dynamics in the input layer 4Calpha.

Authors:  D McLaughlin; R Shapley; M Shelley; D J Wielaard
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

4.  Coexistence of linear zones and pinwheels within orientation maps in cat visual cortex.

Authors:  A Shmuel; A Grinvald
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

Review 5.  Zonal organization of the mammalian main and accessory olfactory systems.

Authors:  K Mori; H von Campenhause; Y Yoshihara
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-12-29       Impact factor: 6.237

6.  Optical imaging of functional domains in the cortex of the awake and behaving monkey.

Authors:  N Vnek; B M Ramsden; C P Hung; P S Goldman-Rakic; A W Roe
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

7.  Functional micro-organization of primary visual cortex: receptive field analysis of nearby neurons.

Authors:  G C DeAngelis; G M Ghose; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  1999-05-15       Impact factor: 6.167

8.  Long-term optical imaging and spectroscopy reveal mechanisms underlying the intrinsic signal and stability of cortical maps in V1 of behaving monkeys.

Authors:  E Shtoyerman; A Arieli; H Slovin; I Vanzetta; A Grinvald
Journal:  J Neurosci       Date:  2000-11-01       Impact factor: 6.167

9.  Spatial frequency maps in cat visual cortex.

Authors:  N P Issa; C Trepel; M P Stryker
Journal:  J Neurosci       Date:  2000-11-15       Impact factor: 6.167

10.  How simple cells are made in a nonlinear network model of the visual cortex.

Authors:  D J Wielaard; M Shelley; D McLaughlin; R Shapley
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

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