Literature DB >> 12097515

Orientation selectivity in macaque V1: diversity and laminar dependence.

Dario L Ringach1, Robert M Shapley, Michael J Hawken.   

Abstract

We studied the steady-state orientation selectivity of single neurons in macaque primary visual cortex (V1). To analyze the data, two measures of orientation tuning selectivity, circular variance and orientation bandwidth, were computed from the tuning curves. Circular variance is a global measure of the shape of the tuning curve, whereas orientation bandwidth is a local measure of the sharpness of the tuning curve around its peak. Circular variance in V1 was distributed broadly, indicating a great diversity of orientation selectivity. This diversity was also reflected in the individual cortical layers. However, there was a tendency for neurons with high circular variance, meaning low selectivity for orientation, to be concentrated in layers 4C, 3B, and 5. The relative variation of orientation bandwidth across the cortical layers was less than for circular variance, but it showed a similar laminar dependence. Neurons with large orientation bandwidth were found predominantly in layers 4C and 3B. There was a weak correlation between orientation selectivity and the level of spontaneous activity of the neurons. We also assigned a response modulation ratio for each cell, which is a measure of the linearity of spatial summation. Cells with low modulation ratios tended to have higher circular variance and bandwidth than those with high modulation ratios. These findings suggest a revision to the classical view that nonoriented receptive fields are principally found in layer 4C and the cytochrome oxidase-rich blobs in layer 2/3. Instead, a broad distribution of tuning selectivity is found in all cortical layers, and neurons that are weakly tuned for orientation are ubiquitous in V1 cortex.

Mesh:

Year:  2002        PMID: 12097515      PMCID: PMC6758222          DOI: 20026567

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


  50 in total

1.  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

2.  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

3.  Visual spatial characterization of macaque V1 neurons.

Authors:  M P Sceniak; M J Hawken; R Shapley
Journal:  J Neurophysiol       Date:  2001-05       Impact factor: 2.714

4.  Parallel pathways in macaque monkey striate cortex: anatomically defined columns in layer III.

Authors:  E A Lachica; P D Beck; V A Casagrande
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-15       Impact factor: 11.205

5.  Predictions of a recurrent model of orientation selectivity.

Authors:  M Carandini; D L Ringach
Journal:  Vision Res       Date:  1997-11       Impact factor: 1.886

6.  Theory of orientation tuning in visual cortex.

Authors:  R Ben-Yishai; R L Bar-Or; H Sompolinsky
Journal:  Proc Natl Acad Sci U S A       Date:  1995-04-25       Impact factor: 11.205

7.  Concomitant sensitivity to orientation, direction, and color of cells in layers 2, 3, and 4 of monkey striate cortex.

Authors:  A G Leventhal; K G Thompson; D Liu; Y Zhou; S J Ault
Journal:  J Neurosci       Date:  1995-03       Impact factor: 6.167

8.  Analysis of orientation bias in cat retina.

Authors:  W R Levick; L N Thibos
Journal:  J Physiol       Date:  1982-08       Impact factor: 5.182

9.  Mechanisms underlying orientation selectivity of neurons in the primary visual cortex of the macaque.

Authors:  H Sato; N Katsuyama; H Tamura; Y Hata; T Tsumoto
Journal:  J Physiol       Date:  1996-08-01       Impact factor: 5.182

10.  Development of orientation selectivity in ferret visual cortex and effects of deprivation.

Authors:  B Chapman; M P Stryker
Journal:  J Neurosci       Date:  1993-12       Impact factor: 6.167

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  280 in total

1.  Emergent properties of layer 2/3 neurons reflect the collinear arrangement of horizontal connections in tree shrew visual cortex.

Authors:  Heather J Chisum; François Mooser; David Fitzpatrick
Journal:  J Neurosci       Date:  2003-04-01       Impact factor: 6.167

2.  Decoding simulated neurodynamics predicts the perceptual consequences of age-related macular degeneration.

Authors:  Jianing V Shi; Jim Wielaard; R Theodore Smith; Paul Sajda
Journal:  J Vis       Date:  2011-12-05       Impact factor: 2.240

3.  An egalitarian network model for the emergence of simple and complex cells in visual cortex.

Authors:  Louis Tao; Michael Shelley; David McLaughlin; Robert Shapley
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-26       Impact factor: 11.205

4.  Receptive fields and response properties of neurons in layer 4 of ferret visual cortex.

Authors:  W Martin Usrey; Michael P Sceniak; Barbara Chapman
Journal:  J Neurophysiol       Date:  2003-02       Impact factor: 2.714

Review 5.  Complex receptive fields in primary visual cortex.

Authors:  Luis M Martinez; Jose-Manuel Alonso
Journal:  Neuroscientist       Date:  2003-10       Impact factor: 7.519

Review 6.  Mapping receptive fields in primary visual cortex.

Authors:  Dario L Ringach
Journal:  J Physiol       Date:  2004-05-21       Impact factor: 5.182

7.  Correlation of local and global orientation and spatial frequency tuning in macaque V1.

Authors:  Dajun Xing; Dario L Ringach; Robert Shapley; Michael J Hawken
Journal:  J Physiol       Date:  2004-04-16       Impact factor: 5.182

8.  Untuned suppression makes a major contribution to the enhancement of orientation selectivity in macaque v1.

Authors:  Dajun Xing; Dario L Ringach; Michael J Hawken; Robert M Shapley
Journal:  J Neurosci       Date:  2011-11-02       Impact factor: 6.167

9.  Orientation selectivity and noise correlation in awake monkey area V1 are modulated by the gamma cycle.

Authors:  Thilo Womelsdorf; Bruss Lima; Martin Vinck; Robert Oostenveld; Wolf Singer; Sergio Neuenschwander; Pascal Fries
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-27       Impact factor: 11.205

10.  Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression.

Authors:  Robert M Shapley; Dajun Xing
Journal:  Neural Netw       Date:  2012-09-20
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