Literature DB >> 22306889

A triple dissociation between learning of target, distractors, and spatial contexts.

Christophe C Le Dantec1, Elizabeth E Melton, Aaron R Seitz.   

Abstract

When we perform any task, we engage a diverse set of processes. These processes can be optimized with learning. While there exists substantial research that probes specific aspects of learning, there is a scarcity of research regarding interactions between different types of learning. Here, we investigate possible interactions between Perceptual Learning (PL) and Contextual Learning (CL), two types of implicit learning that have garnered much attention in the psychological sciences and that often co-occur in natural settings. PL increases sensitivity to features of task targets and distractors and is thought to involve improvements in low-level perceptual processing. CL regards learning of regularities in the environment (such as spatial relations between objects) and is consistent with improvements in higher level perceptual processes. Surprisingly, we found CL, PL for target features, and PL for distractor features to be independent. This triple dissociation demonstrates how different learning processes may operate in parallel as tasks are mastered.

Mesh:

Year:  2012        PMID: 22306889     DOI: 10.1167/12.2.5

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


  8 in total

1.  Alpha-band EEG activity in perceptual learning.

Authors:  Brett C Bays; Kristina M Visscher; Christophe C Le Dantec; Aaron R Seitz
Journal:  J Vis       Date:  2015       Impact factor: 2.240

2.  Dissociable behavioural outcomes of visual statistical learning.

Authors:  Brett C Bays; Nicholas B Turk-Browne; Aaron R Seitz
Journal:  Vis cogn       Date:  2016-02-22

3.  Towards a whole brain model of Perceptual Learning.

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

4.  Distractor probabilities modulate flanker task performance.

Authors:  Eli Bulger; Barbara G Shinn-Cunningham; Abigail L Noyce
Journal:  Atten Percept Psychophys       Date:  2020-11-01       Impact factor: 2.199

Review 5.  Underpowered samples, false negatives, and unconscious learning.

Authors:  Miguel A Vadillo; Emmanouil Konstantinidis; David R Shanks
Journal:  Psychon Bull Rev       Date:  2016-02

6.  Offline transcranial direct current stimulation improves the ability to perceive crowded targets.

Authors:  Guanpeng Chen; Ziyun Zhu; Qing He; Fang Fang
Journal:  J Vis       Date:  2021-02-03       Impact factor: 2.240

7.  Change-detection training and its effects on visual processing skills.

Authors:  Jennifer Truong; Martin Buschkuehl; Rachel N Smith-Peirce; Audrey A Carrillo; Aaron R Seitz; Susanne M Jaeggi
Journal:  Sci Rep       Date:  2022-07-25       Impact factor: 4.996

8.  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

  8 in total

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