Literature DB >> 32209663

Eye movements shape visual learning.

Pooya Laamerad1, Daniel Guitton1, Christopher C Pack2.   

Abstract

Most people easily learn to recognize new faces and places, and with more extensive practice they can become experts at visual tasks as complex as radiological diagnosis and action video games. Such perceptual plasticity has been thoroughly studied in the context of training paradigms that require constant fixation. In contrast, when observers learn under more natural conditions, they make frequent saccadic eye movements. Here we show that such eye movements can play an important role in visual learning. Observers performed a task in which they executed a saccade while discriminating the motion of a cued visual stimulus. Additional stimuli, presented simultaneously with the cued one, permitted an assessment of the perceptual integration of information across visual space. Consistent with previous results on perisaccadic remapping [M. Szinte, D. Jonikaitis, M. Rolfs, P. Cavanagh, H. Deubel, J. Neurophysiol. 116, 1592-1602 (2016)], most observers preferentially integrated information from locations representing the presaccadic and postsaccadic retinal positions of the cue. With extensive training on the saccade task, these observers gradually acquired the ability to perform similar motion integration without making eye movements. Importantly, the newly acquired pattern of spatial integration was determined by the metrics of the saccades made during training. These results suggest that oculomotor influences on visual processing, long thought to subserve the function of perceptual stability, also play a role in visual plasticity.

Entities:  

Keywords:  eye movement; plasticity; remapping; visual learning

Year:  2020        PMID: 32209663      PMCID: PMC7149482          DOI: 10.1073/pnas.1913851117

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


  54 in total

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Authors:  A Schoups; R Vogels; N Qian; G Orban
Journal:  Nature       Date:  2001-08-02       Impact factor: 49.962

3.  The time course of perisaccadic receptive field shifts in the lateral intraparietal area of the monkey.

Authors:  Makoto Kusunoki; Michael E Goldberg
Journal:  J Neurophysiol       Date:  2002-11-20       Impact factor: 2.714

4.  Predictive remapping of attention across eye movements.

Authors:  Martin Rolfs; Donatas Jonikaitis; Heiner Deubel; Patrick Cavanagh
Journal:  Nat Neurosci       Date:  2010-12-26       Impact factor: 24.884

5.  The Contribution of Area MT to Visual Motion Perception Depends on Training.

Authors:  Liu D Liu; Christopher C Pack
Journal:  Neuron       Date:  2017-07-06       Impact factor: 17.173

6.  Presaccadic motion integration between current and future retinotopic locations of attended objects.

Authors:  Martin Szinte; Donatas Jonikaitis; Martin Rolfs; Patrick Cavanagh; Heiner Deubel
Journal:  J Neurophysiol       Date:  2016-07-06       Impact factor: 2.714

7.  Adaptation to curvature distortion.

Authors:  R S Slotnick
Journal:  J Exp Psychol       Date:  1969-09

8.  A maximum-likelihood method for estimating thresholds in a yes-no task.

Authors:  D M Green
Journal:  J Acoust Soc Am       Date:  1993-04       Impact factor: 1.840

9.  Remapped visual masking.

Authors:  Amelia R Hunt; Patrick Cavanagh
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Review 10.  Perceptual learning rules based on reinforcers and attention.

Authors:  Pieter R Roelfsema; Arjen van Ooyen; Takeo Watanabe
Journal:  Trends Cogn Sci       Date:  2010-01-08       Impact factor: 20.229

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  2 in total

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Authors:  Yihang Chen; Nicholas J Rommelfanger; Ali I Mahdi; Xiang Wu; Scott T Keene; Abdulmalik Obaid; Alberto Salleo; Huiliang Wang; Guosong Hong
Journal:  Biomaterials       Date:  2020-12-02       Impact factor: 12.479

2.  Visual perceptual learning generalizes to untrained effectors.

Authors:  Asmara Awada; Shahab Bakhtiari; Christopher C Pack
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  2 in total

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