Literature DB >> 18977730

Perceptual learning and sensomotor flexibility: cortical plasticity under attentional control?

Manfred Fahle1.   

Abstract

Recent research reveals long-lasting cortical plasticity of early sensory cortices even in adults. Sensory signals could be modified under top-down control if necessary quite early in order to optimize their signal-to-noise ratio, leading to 'low level' or 'early' perceptual learning (PL). For easy tasks, such elaborate top-down influences are usually not required, and learning is restricted to late selection of the appropriate signals on higher cortical levels, which seems easier and faster to achieve. But to reach the absolute limits of sensory performance, PL seems to optimize the entire chain of sensory processing. Hence, improvement for these extreme perceptual abilities is quite specific for a number of stimulus parameters, such as the position in the visual field and sometimes even the trained eye, reflecting the specificity of receptive fields in early sensory cortices. Early PL may be just one example--even if a very extensive one--of the mechanisms of neuronal plasticity and sensomotor flexibility that are constantly updating our sensomotor representations as a result of experience. As an illustration, this review contains some new experimental results on PL and sensory flexibility in the context of adaptation to multifocal intraocular lenses.

Mesh:

Year:  2009        PMID: 18977730      PMCID: PMC2674479          DOI: 10.1098/rstb.2008.0267

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  31 in total

1.  Increased receptive field size in the surround of chronic lesions in the adult cat visual cortex.

Authors:  U T Eysel; G Schweigart
Journal:  Cereb Cortex       Date:  1999-03       Impact factor: 5.357

2.  The nature of learned categorical perception effects: a psychophysical approach.

Authors:  Leslie A Notman; Paul T Sowden; Emre Ozgen
Journal:  Cognition       Date:  2005-03

3.  Perceptual learning: a case for early selection.

Authors:  Manfred Fahle
Journal:  J Vis       Date:  2004-10-26       Impact factor: 2.240

Review 4.  Applications of prism adaptation: a tutorial in theory and method.

Authors:  Gordon M Redding; Yves Rossetti; Benjamin Wallace
Journal:  Neurosci Biobehav Rev       Date:  2005-05       Impact factor: 8.989

5.  Activations in visual and attention-related areas predict and correlate with the degree of perceptual learning.

Authors:  Ikuko Mukai; David Kim; Masaki Fukunaga; Shruti Japee; Sean Marrett; Leslie G Ungerleider
Journal:  J Neurosci       Date:  2007-10-17       Impact factor: 6.167

6.  Three remarks on perceptual learning.

Authors:  J D Mollon; M V Danilova
Journal:  Spat Vis       Date:  1996

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Authors:  M H Herzog; M Fahle
Journal:  Biol Cybern       Date:  1998-02       Impact factor: 2.086

8.  Repetitive optical stimulation elicits fast receptive field changes in mature visual cortex.

Authors:  U T Eysel; D Eyding; G Schweigart
Journal:  Neuroreport       Date:  1998-03-30       Impact factor: 1.837

Review 9.  Adult cortical dynamics.

Authors:  C D Gilbert
Journal:  Physiol Rev       Date:  1998-04       Impact factor: 37.312

10.  Interobserver variance in perceptual performance and learning.

Authors:  M Fahle; S Henke-Fahle
Journal:  Invest Ophthalmol Vis Sci       Date:  1996-04       Impact factor: 4.799

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  19 in total

1.  Exogenous attention facilitates location transfer of perceptual learning.

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

2.  Learning, worsening, and generalization in response to auditory perceptual training during adolescence.

Authors:  Julia Jones Huyck; Beverly A Wright
Journal:  J Acoust Soc Am       Date:  2013-08       Impact factor: 1.840

Review 3.  Two-stage model in perceptual learning: toward a unified theory.

Authors:  Kazuhisa Shibata; Dov Sagi; Takeo Watanabe
Journal:  Ann N Y Acad Sci       Date:  2014-04-23       Impact factor: 5.691

Review 4.  Perceptual learning: toward a comprehensive theory.

Authors:  Takeo Watanabe; Yuka Sasaki
Journal:  Annu Rev Psychol       Date:  2014-09-10       Impact factor: 24.137

5.  Enhanced attentional gain as a mechanism for generalized perceptual learning in human visual cortex.

Authors:  Anna Byers; John T Serences
Journal:  J Neurophysiol       Date:  2014-06-11       Impact factor: 2.714

6.  Perceptual learning to reduce sensory eye dominance beyond the focus of top-down visual attention.

Authors:  Jingping P Xu; Zijiang J He; Teng Leng Ooi
Journal:  Vision Res       Date:  2011-05-27       Impact factor: 1.886

7.  The nature of experience determines object representations in the visual system.

Authors:  Yetta K Wong; Jonathan R Folstein; Isabel Gauthier
Journal:  J Exp Psychol Gen       Date:  2012-04-02

8.  Thalamocortical long-term potentiation becomes gated after the early critical period in the auditory cortex.

Authors:  Sungkun Chun; Ildar T Bayazitov; Jay A Blundon; Stanislav S Zakharenko
Journal:  J Neurosci       Date:  2013-04-24       Impact factor: 6.167

9.  Endogenous spatial attention during perceptual learning facilitates location transfer.

Authors:  Ian Donovan; Marisa Carrasco
Journal:  J Vis       Date:  2018-10-01       Impact factor: 2.240

10.  Introduction. Sensory learning: from neural mechanisms to rehabilitation.

Authors:  Paul V McGraw; Ben S Webb; David R Moore
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-02-12       Impact factor: 6.237

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