Literature DB >> 8516322

Attentional control of early perceptual learning.

M Ahissar1, S Hochstein.   

Abstract

The performance of adult humans in simple visual tasks improves dramatically with practice. This improvement is highly specific to basic attributes of the trained stimulus, suggesting that the underlying changes occur at low-level processing stages in the brain, where different orientations and spatial frequencies are handled by separate channels. We asked whether these practice effects are determined solely by activity in stimulus-driven mechanisms or whether high-level attentional mechanisms, which are linked to the perceptual task, might control the learning process. We found that practicing one task did not improve performance in an alternative task, even though both tasks used exactly the same visual stimuli but depended on different stimulus attributes (either orientation of local elements or global shape). Moreover, even when the experiment was designed so that the same responses were associated with the same stimuli (although subjects were instructed to attend to the attribute underlying one task), learning did not transfer from one task to the other. These results suggest that specific high-level attentional mechanisms, controlling changes at early visual processing levels, are essential in perceptual learning.

Entities:  

Mesh:

Year:  1993        PMID: 8516322      PMCID: PMC46793          DOI: 10.1073/pnas.90.12.5718

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  25 in total

1.  Improvement in line orientation discrimination is retinally local but dependent on cognitive set.

Authors:  L P Shiu; H Pashler
Journal:  Percept Psychophys       Date:  1992-11

2.  Dependence of cortical plasticity on correlated activity of single neurons and on behavioral context.

Authors:  E Ahissar; E Vaadia; M Ahissar; H Bergman; A Arieli; M Abeles
Journal:  Science       Date:  1992-09-04       Impact factor: 47.728

3.  Fast perceptual learning in visual hyperacuity.

Authors:  T Poggio; M Fahle; S Edelman
Journal:  Science       Date:  1992-05-15       Impact factor: 47.728

4.  Changes in the distributed temporal response properties of SI cortical neurons reflect improvements in performance on a temporally based tactile discrimination task.

Authors:  G H Recanzone; M M Merzenich; C E Schreiner
Journal:  J Neurophysiol       Date:  1992-05       Impact factor: 2.714

Review 5.  Distributed hierarchical processing in the primate cerebral cortex.

Authors:  D J Felleman; D C Van Essen
Journal:  Cereb Cortex       Date:  1991 Jan-Feb       Impact factor: 5.357

6.  Vision outside the focus of attention.

Authors:  J Braun; D Sagi
Journal:  Percept Psychophys       Date:  1990-07

Review 7.  Visual processing in monkey extrastriate cortex.

Authors:  J H Maunsell; W T Newsome
Journal:  Annu Rev Neurosci       Date:  1987       Impact factor: 12.449

8.  Direction-specific improvement in motion discrimination.

Authors:  K Ball; R Sekuler
Journal:  Vision Res       Date:  1987       Impact factor: 1.886

9.  Visual routines.

Authors:  S Ullman
Journal:  Cognition       Date:  1984-12

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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  149 in total

1.  Auditory processing parallels reading abilities in adults.

Authors:  M Ahissar; A Protopapas; M Reid; M M Merzenich
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-06       Impact factor: 11.205

Review 2.  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

3.  SELECTIVENESS OF THE EXPOSURE-BASED PERCEPTUAL LEARNING: WHAT TO LEARN AND WHAT NOT TO LEARN.

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Journal:  Learn Percept       Date:  2009-05-07

4.  The time course of neural changes underlying auditory perceptual learning.

Authors:  Mercedes Atienza; Jose L Cantero; Elena Dominguez-Marin
Journal:  Learn Mem       Date:  2002 May-Jun       Impact factor: 2.460

5.  Neural correlates of perceptual learning: a functional MRI study of visual texture discrimination.

Authors:  Sophie Schwartz; Pierre Maquet; Chris Frith
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-21       Impact factor: 11.205

6.  Is color "categorical perception" really perceptual?

Authors:  Michael Pilling; Alison Wiggett; Emre Ozgen; Ian R L Davies
Journal:  Mem Cognit       Date:  2003-06

7.  Resetting capacity limitations revealed by long-lasting elimination of attentional blink through training.

Authors:  Hoon Choi; Li-Hung Chang; Kazuhisa Shibata; Yuka Sasaki; Takeo Watanabe
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-09       Impact factor: 11.205

8.  Rule-based learning explains visual perceptual learning and its specificity and transfer.

Authors:  Jun-Yun Zhang; Gong-Liang Zhang; Lu-Qi Xiao; Stanley A Klein; Dennis M Levi; Cong Yu
Journal:  J Neurosci       Date:  2010-09-15       Impact factor: 6.167

9.  Contributions of procedure and stimulus learning to early, rapid perceptual improvements.

Authors:  Jeanette A Ortiz; Beverly A Wright
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-02       Impact factor: 3.332

10.  Functional MRI reveals spatially specific attentional modulation in human primary visual cortex.

Authors:  D C Somers; A M Dale; A E Seiffert; R B Tootell
Journal:  Proc Natl Acad Sci U S A       Date:  1999-02-16       Impact factor: 11.205

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