Literature DB >> 3656157

Interhemispheric transfer of visual information in humans: spatial characteristics.

N Berardi1, A Fiorentini.   

Abstract

1. The problem of the interhemispheric transfer of visual information in humans has been approached psychophysically, making use of a visual discrimination task that shows a clear left field advantage and is subject to the phenomenon of perceptual learning. 2. For this task (discrimination of complex gratings differing only by the relative spatial phase of their harmonic components) there is a left field advantage and a lack of interhemispheric transfer of learning effects at all spatial frequencies tested for stimuli removed at least 5 deg from either side of the vertical meridian. 3. For stimuli close to the vertical meridian, the left field advantage disappears and there is a complete transfer of learning effects, provided the fundamental spatial frequency is 2 cycles/deg or lower. 4. At higher spatial frequencies the left field advantage is maintained and the learning effects do not transfer from one visual hemifield to the other, even at +/- 0.5 deg from the vertical meridian, unless the contrast is very high. 5. The transfer of learning effects obtained for spatial frequencies of 2 cycles/deg or lower is peculiar to regions placed close to the vertical meridian and symmetrically located on either side of it. No transfer is obtained between non-overlapping regions on the same side of the vertical meridian. 6. These findings are consistent with an interhemispheric transfer of visual information, preferential for low spatial frequencies and high contrasts, in agreement with that found for callosal transfer in the cat (Berardi, Bisti & Maffei, 1987).

Entities:  

Mesh:

Year:  1987        PMID: 3656157      PMCID: PMC1192282          DOI: 10.1113/jphysiol.1987.sp016474

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  19 in total

1.  THE FUNCTION OF THE CALLOSAL CONNECTIONS OF THE VISUAL CORTEX.

Authors:  B P CHOUDHURY; D WHITTERIDGE; M E WILSON
Journal:  Q J Exp Physiol Cogn Med Sci       Date:  1965-04

2.  The naso-temporal division of the monkey's retina.

Authors:  J Stone; J Leicester; S M Sherman
Journal:  J Comp Neurol       Date:  1973-08       Impact factor: 3.215

3.  Binocularly driven neurons in visual cortex of split-chiasm cats.

Authors:  G Berlucchi; G Rizzolatti
Journal:  Science       Date:  1968-01-19       Impact factor: 47.728

4.  Projection of the visual vertical meridian to cerebral cortex of the cat.

Authors:  J Leicester
Journal:  J Neurophysiol       Date:  1968-05       Impact factor: 2.714

5.  Binocular depth perception and the corpus callosum.

Authors:  D E Mitchell; C Blakemore
Journal:  Vision Res       Date:  1970-01       Impact factor: 1.886

6.  Binocular depth perception and the optic chiasm.

Authors:  C Blakemore
Journal:  Vision Res       Date:  1970-01       Impact factor: 1.886

7.  Demonstration of bilateral projection of the central retina of the monkey with horseradish peroxidase neuronography.

Authors:  A H Bunt; D S Minckler; G W Johanson
Journal:  J Comp Neurol       Date:  1977-02-15       Impact factor: 3.215

8.  Single representation of the visual midline in humans.

Authors:  L O Harvey
Journal:  Neuropsychologia       Date:  1978       Impact factor: 3.139

9.  Functional dissociation of the hemispheres using foveal visual input.

Authors:  F Haun
Journal:  Neuropsychologia       Date:  1978       Impact factor: 3.139

10.  Visual properties of neurons in inferotemporal cortex of the Macaque.

Authors:  C G Gross; C E Rocha-Miranda; D B Bender
Journal:  J Neurophysiol       Date:  1972-01       Impact factor: 2.714

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  23 in total

Review 1.  Perceptual training: a tool for both modifying the brain and exploring it.

Authors:  M Ahissar
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-09       Impact factor: 11.205

2.  Tilt aftereffect from orientation discrimination learning.

Authors:  Nihong Chen; Fang Fang
Journal:  Exp Brain Res       Date:  2011-10-14       Impact factor: 1.972

3.  MECHANISMS OF PERCEPTUAL LEARNING.

Authors:  Zhong-Lin Lu; Barbara Anne Dosher
Journal:  Learn Percept       Date:  2009-06-01

4.  Exogenous attention facilitates location transfer of perceptual learning.

Authors:  Ian Donovan; Sarit Szpiro; Marisa Carrasco
Journal:  J Vis       Date:  2015       Impact factor: 2.240

5.  Independent perceptual learning in monocular and binocular motion systems.

Authors:  Zhong-Lin Lu; Wilson Chu; Barbara Anne Dosher; Sophia Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-31       Impact factor: 11.205

6.  Top-down reorganization of activity in the visual pathway after learning a shape identification task.

Authors:  Mariano Sigman; Hong Pan; Yihong Yang; Emily Stern; David Silbersweig; Charles D Gilbert
Journal:  Neuron       Date:  2005-06-02       Impact factor: 17.173

7.  Mechanisms of perceptual learning of depth discrimination in random dot stereograms.

Authors:  Liat Gantz; Saumil S Patel; Susana T L Chung; Ronald S Harwerth
Journal:  Vision Res       Date:  2007-06-22       Impact factor: 1.886

8.  Electrophysiological evidence for interhemispheric transmission of visual information in man.

Authors:  N Berardi; I Bodis-Wollner; A Fiorentini; G Giuffré; M Morelli
Journal:  J Physiol       Date:  1989-04       Impact factor: 5.182

9.  Neural correlates of face gender discrimination learning.

Authors:  Junzhu Su; Qingleng Tan; Fang Fang
Journal:  Exp Brain Res       Date:  2013-01-10       Impact factor: 1.972

10.  Perceptual learning solely induced by feedback.

Authors:  Hoon Choi; Takeo Watanabe
Journal:  Vision Res       Date:  2012-01-16       Impact factor: 1.886

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