Literature DB >> 29330497

Visual learning with reduced adaptation is eccentricity-specific.

Hila Harris1, Dov Sagi2.   

Abstract

Visual learning is known to be specific to the trained target location, showing little transfer to untrained locations. Recently, learning was shown to transfer across equal-eccentricity retinal-locations when sensory adaptation due to repetitive stimulation was minimized. It was suggested that learning transfers to previously untrained locations when the learned representation is location invariant, with sensory adaptation introducing location-dependent representations, thus preventing transfer. Spatial invariance may also fail when the trained and tested locations are at different distance from the center of gaze (different retinal eccentricities), due to differences in the corresponding low-level cortical representations (e.g. allocated cortical area decreases with eccentricity). Thus, if learning improves performance by better classifying target-dependent early visual representations, generalization is predicted to fail when locations of different retinal eccentricities are trained and tested in the absence sensory adaptation. Here, using the texture discrimination task, we show specificity of learning across different retinal eccentricities (4-8°) using reduced adaptation training. The existence of generalization across equal-eccentricity locations but not across different eccentricities demonstrates that learning accesses visual representations preceding location independent representations, with specificity of learning explained by inhomogeneous sensory representation.

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Mesh:

Year:  2018        PMID: 29330497      PMCID: PMC5766564          DOI: 10.1038/s41598-017-18824-7

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  47 in total

1.  Mechanisms of generalization in perceptual learning.

Authors:  Z Liu; D Weinshall
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

Review 2.  Perceptual learning in Vision Research.

Authors:  Dov Sagi
Journal:  Vision Res       Date:  2010-10-23       Impact factor: 1.886

3.  Perceptual learning in contrast discrimination: the effect of contrast uncertainty.

Authors:  Yael Adini; Amos Wilkonsky; Roni Haspel; Misha Tsodyks; Dov Sagi
Journal:  J Vis       Date:  2004-12-06       Impact factor: 2.240

4.  Fast perceptual learning in visual hyperacuity.

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

5.  The coordinate frame of pop-out learning.

Authors:  Ayelet McKyton; Ehud Zohary
Journal:  Vision Res       Date:  2008-03-07       Impact factor: 1.886

6.  The relationship between cortical magnification factor and population receptive field size in human visual cortex: constancies in cortical architecture.

Authors:  Ben M Harvey; Serge O Dumoulin
Journal:  J Neurosci       Date:  2011-09-21       Impact factor: 6.167

7.  Target-selective tilt aftereffect during texture learning.

Authors:  Noga Pinchuk-Yacobi; Hila Harris; Dov Sagi
Journal:  Vision Res       Date:  2016-07-06       Impact factor: 1.886

8.  Modeling mechanisms of perceptual learning with augmented Hebbian re-weighting.

Authors:  Zhong-Lin Lu; Jiajuan Liu; Barbara Anne Dosher
Journal:  Vision Res       Date:  2009-09-02       Impact factor: 1.886

9.  Response: Commentary: Perceptual learning in autism: over-specificity and possible remedies.

Authors:  Hila Harris; David Israeli; Nancy J Minshew; Yoram S Bonneh; David J Heeger; Marlene Behrmann; Dov Sagi
Journal:  Front Integr Neurosci       Date:  2016-11-09

10.  Overlearning hyperstabilizes a skill by rapidly making neurochemical processing inhibitory-dominant.

Authors:  Kazuhisa Shibata; Yuka Sasaki; Ji Won Bang; Edward G Walsh; Maro G Machizawa; Masako Tamaki; Li-Hung Chang; Takeo Watanabe
Journal:  Nat Neurosci       Date:  2017-01-30       Impact factor: 24.884

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