Literature DB >> 26305737

Differences in perceptual learning transfer as a function of training task.

C Shawn Green, Florian Kattner, Max H Siegel, Daniel Kersten, Paul R Schrater.   

Abstract

A growing body of research--including results from behavioral psychology, human structural and functional imaging, single-cell recordings in nonhuman primates, and computational modeling--suggests that perceptual learning effects are best understood as a change in the ability of higher-level integration or association areas to read out sensory information in the service of particular decisions. Work in this vein has argued that, depending on the training experience, the "rules" for this read-out can either be applicable to new contexts (thus engendering learning generalization) or can apply only to the exact training context (thus resulting in learning specificity). Here we contrast learning tasks designed to promote either stimulus-specific or stimulus-general rules. Specifically, we compare learning transfer across visual orientation following training on three different tasks: an orientation categorization task (which permits an orientation-specific learning solution), an orientation estimation task (which requires an orientation-general learning solution), and an orientation categorization task in which the relevant category boundary shifts on every trial (which lies somewhere between the two tasks above). While the simple orientation-categorization training task resulted in orientation-specific learning, the estimation and moving categorization tasks resulted in significant orientation learning generalization. The general framework tested here--that task specificity or generality can be predicted via an examination of the optimal learning solution--may be useful in building future training paradigms with certain desired outcomes.

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Year:  2015        PMID: 26305737     DOI: 10.1167/15.10.5

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  13 in total

1.  Practice improves peri-saccadic shape judgment but does not diminish target mislocalization.

Authors:  Yuval Porat; Ehud Zohary
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-02       Impact factor: 11.205

2.  Intervention-specific patterns of cortical function plasticity during auditory encoding in people with schizophrenia.

Authors:  Corby L Dale; Ethan G Brown; Alexander B Herman; Leighton B N Hinkley; Karuna Subramaniam; Melissa Fisher; Sophia Vinogradov; Srikantan S Nagarajan
Journal:  Schizophr Res       Date:  2019-10-21       Impact factor: 4.939

3.  Introduction to Special Issue on Perceptual Learning.

Authors:  Miguel P Eckstein; Cong Yu; Dov Sagi; Marisa Carrasco; Zhong-Lin Lu
Journal:  Vision Res       Date:  2018-11       Impact factor: 1.886

4.  Towards a whole brain model of Perceptual Learning.

Authors:  Marcello Maniglia; Aaron R Seitz
Journal:  Curr Opin Behav Sci       Date:  2017-12-13

5.  The Transfer of Object Learning after Training with Multiple Exemplars.

Authors:  Annelies Baeck; Karen Maes; Chayenne Van Meel; Hans P Op de Beeck
Journal:  Front Psychol       Date:  2016-09-21

6.  Fluoxetine Does Not Enhance Visual Perceptual Learning and Triazolam Specifically Impairs Learning Transfer.

Authors:  Alice K Lagas; Joanna M Black; Winston D Byblow; Melanie K Fleming; Lucy K Goodman; Robert R Kydd; Bruce R Russell; Cathy M Stinear; Benjamin Thompson
Journal:  Front Hum Neurosci       Date:  2016-10-19       Impact factor: 3.169

7.  Use of cues in virtual reality depends on visual feedback.

Authors:  Jacqueline M Fulvio; Bas Rokers
Journal:  Sci Rep       Date:  2017-11-22       Impact factor: 4.379

8.  Transfer in Rule-Based Category Learning Depends on the Training Task.

Authors:  Florian Kattner; Christopher R Cox; C Shawn Green
Journal:  PLoS One       Date:  2016-10-20       Impact factor: 3.240

9.  Orientation Transfer in Vernier and Stereoacuity Training.

Authors:  Nathaniel Snell; Florian Kattner; Bas Rokers; C Shawn Green
Journal:  PLoS One       Date:  2015-12-23       Impact factor: 3.240

10.  Feature reliability determines specificity and transfer of perceptual learning in orientation search.

Authors:  Amit Yashar; Rachel N Denison
Journal:  PLoS Comput Biol       Date:  2017-12-14       Impact factor: 4.475

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