Literature DB >> 8805246

No transfer of perceptual learning between similar stimuli in the same retinal position.

M Fahle1, M Morgan.   

Abstract

BACKGROUND: Recent experiments have demonstrated a remarkable amount of specificity in the learning of simple visual tasks in humans, as well as considerable plasticity of receptive fields in the visual cortex of adult monkeys. Here, we tested the specificity of improvement through learning in the performance of human observers on two tasks using almost identical stimuli.
RESULTS: Two groups, of six observers each, were trained in two hyperacuity tasks - three-dot bisection and three-dot vernier discrimination. The groups started with different tasks, and switched tasks after one hour of training. Training improved performance significantly, in spite of considerable variability between observers, but improvement did not generalize from one of these tasks to the other. This result indicates that perceptual learning can be extremely stimulus specific, and that deviations from the same standard but in orthogonal directions require completely new training.
CONCLUSIONS: Learning is not based on the development of a more exact map of positional information, or on training to fixate or accommodate the eye, but on a better discrimination between the stimuli using one specific stimulus dimension. We also demonstrate that observers differ considerably, not only in their speed of learning, but also in their relative level of performance on the two similar tasks.

Entities:  

Mesh:

Year:  1996        PMID: 8805246     DOI: 10.1016/s0960-9822(02)00479-7

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  40 in total

1.  Shifts in cortical representations predict human discrimination improvement.

Authors:  B Pleger; H R Dinse; P Ragert; P Schwenkreis; J P Malin; M Tegenthoff
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-02       Impact factor: 11.205

2.  Demonstration of cue recruitment: change in visual appearance by means of Pavlovian conditioning.

Authors:  Qi Haijiang; Jeffrey A Saunders; Rebecca W Stone; Benjamin T Backus
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-30       Impact factor: 11.205

3.  Learning to link visual contours.

Authors:  Wu Li; Valentin Piëch; Charles D Gilbert
Journal:  Neuron       Date:  2008-02-07       Impact factor: 17.173

Review 4.  Reorganization of the adult auditory system: perceptual and physiological evidence from monaural fitting of hearing aids.

Authors:  Kevin J Munro
Journal:  Trends Amplif       Date:  2008-09

Review 5.  Reverse hierarchies and sensory learning.

Authors:  Merav Ahissar; Mor Nahum; Israel Nelken; Shaul Hochstein
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-02-12       Impact factor: 6.237

6.  An integrated reweighting theory of perceptual learning.

Authors:  Barbara Anne Dosher; Pamela Jeter; Jiajuan Liu; Zhong-Lin Lu
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-29       Impact factor: 11.205

7.  Learning efficient visual search for stimuli containing diagnostic spatial configurations and color-shape conjunctions.

Authors:  Eric A Reavis; Sebastian M Frank; Peter U Tse
Journal:  Atten Percept Psychophys       Date:  2018-07       Impact factor: 2.199

Review 8.  Reorganization of the adult auditory system: perceptual and physiological evidence from monaural fitting of hearing AIDS.

Authors:  Kevin J Munro
Journal:  Trends Amplif       Date:  2008-06

9.  Receptive field plasticity of area 17 visual cortical neurons of adult rats.

Authors:  Ralph Leonhardt; Hubert R Dinse
Journal:  Exp Brain Res       Date:  2009-09-16       Impact factor: 1.972

10.  Pressure-enhanced activity and stability of a hyperthermophilic protease from a deep-sea methanogen.

Authors:  P C Michels; D S Clark
Journal:  Appl Environ Microbiol       Date:  1997-10       Impact factor: 4.792

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