Literature DB >> 15156149

Perceptual learning and top-down influences in primary visual cortex.

Wu Li1, Valentin Piëch, Charles D Gilbert.   

Abstract

Neuronal responses at early stages in visual cortical processing, including those in primary visual cortex (V1), are subject to the influences of visual context, experience and attention. Here we show that for monkeys trained in a shape discrimination task, V1 neurons took on novel functional properties related to the attributes of the trained shapes. Furthermore, these properties depended on the perceptual task being performed; neurons responded very differently to an identical visual stimulus under different visual discrimination tasks. These top-down influences were seen from the very beginning and throughout the entire time course of the neural responses. Information theoretic analysis showed that neurons carried more information about a stimulus attribute when the animals were performing a task related to that attribute. Our findings suggest that the output from V1 reflects both sensory and behavioral context.

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Year:  2004        PMID: 15156149      PMCID: PMC1440483          DOI: 10.1038/nn1255

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  40 in total

1.  The unresponsive regions of visual cortical receptive fields.

Authors:  L Maffei; A Fiorentini
Journal:  Vision Res       Date:  1976       Impact factor: 1.886

2.  State dependent activity in monkey visual cortex. I. Single cell activity in V1 and V4 on visual tasks.

Authors:  P E Haenny; P H Schiller
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

3.  Orientation-specific learning in stereopsis.

Authors:  V S Ramachandran; O Braddick
Journal:  Perception       Date:  1973       Impact factor: 1.490

4.  Lateral inhibition between orientation detectors in the cat's visual cortex.

Authors:  C Blakemore; E A Tobin
Journal:  Exp Brain Res       Date:  1972       Impact factor: 1.972

5.  The effect of practice on the oblique effect in line orientation judgments.

Authors:  R Vogels; G A Orban
Journal:  Vision Res       Date:  1985       Impact factor: 1.886

6.  Effects of practice and the separation of test targets on foveal and peripheral stereoacuity.

Authors:  M Fendick; G Westheimer
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

7.  Orientation-selective inhibition from beyond the classic visual receptive field.

Authors:  J I Nelson; B J Frost
Journal:  Brain Res       Date:  1978-01-13       Impact factor: 3.252

8.  Improvement in vernier acuity with practice.

Authors:  S P McKee; G Westheimer
Journal:  Percept Psychophys       Date:  1978-09

9.  Perceptual learning specific for orientation and spatial frequency.

Authors:  A Fiorentini; N Berardi
Journal:  Nature       Date:  1980-09-04       Impact factor: 49.962

10.  A specific and enduring improvement in visual motion discrimination.

Authors:  K Ball; R Sekuler
Journal:  Science       Date:  1982-11-12       Impact factor: 47.728

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  176 in total

1.  Perceptual learning improves contrast sensitivity of V1 neurons in cats.

Authors:  Tianmiao Hua; Pinglei Bao; Chang-Bing Huang; Zhenhua Wang; Jinwang Xu; Yifeng Zhou; Zhong-Lin Lu
Journal:  Curr Biol       Date:  2010-05-06       Impact factor: 10.834

2.  Local sensitivity to stimulus orientation and spatial frequency within the receptive fields of neurons in visual area 2 of macaque monkeys.

Authors:  X Tao; B Zhang; E L Smith; S Nishimoto; I Ohzawa; Y M Chino
Journal:  J Neurophysiol       Date:  2011-11-23       Impact factor: 2.714

3.  Task reward structure shapes rapid receptive field plasticity in auditory cortex.

Authors:  Stephen V David; Jonathan B Fritz; Shihab A Shamma
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

4.  Individual variability in functional connectivity predicts performance of a perceptual task.

Authors:  Antonello Baldassarre; Christopher M Lewis; Giorgia Committeri; Abraham Z Snyder; Gian Luca Romani; Maurizio Corbetta
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-06       Impact factor: 11.205

5.  Learning alters the tuning of functional magnetic resonance imaging patterns for visual forms.

Authors:  Jiaxiang Zhang; Alan Meeson; Andrew E Welchman; Zoe Kourtzi
Journal:  J Neurosci       Date:  2010-10-20       Impact factor: 6.167

6.  Learning-dependent plasticity with and without training in the human brain.

Authors:  Jiaxiang Zhang; Zoe Kourtzi
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-13       Impact factor: 11.205

7.  Perceptual learning beyond retinotopic reference frame.

Authors:  En Zhang; Wu Li
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-23       Impact factor: 11.205

8.  Death receptor 6 regulates adult experience-dependent cortical plasticity.

Authors:  Sally A Marik; Olav Olsen; Marc Tessier-Lavigne; Charles D Gilbert
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

9.  Differential dynamic plasticity of A1 receptive fields during multiple spectral tasks.

Authors:  Jonathan B Fritz; Mounya Elhilali; Shihab A Shamma
Journal:  J Neurosci       Date:  2005-08-17       Impact factor: 6.167

10.  Rapid axonal sprouting and pruning accompany functional reorganization in primary visual cortex.

Authors:  Homare Yamahachi; Sally A Marik; Justin N J McManus; Winfried Denk; Charles D Gilbert
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

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