Literature DB >> 31309530

Selection history in context: Evidence for the role of reinforcement learning in biasing attention.

Brian A Anderson1, Mark K Britton2.   

Abstract

Attention is biased towards learned predictors of reward. The influence of reward history on attentional capture has been shown to be context-specific: When particular stimulus features are associated with reward, these features only capture attention when viewed in the context in which they were rewarded. Selection history can also bias attention, such that prior target features gain priority independently of reward history. The contextual specificity of this influence of selection history on attention has not been examined. In the present study, we demonstrate that the consequences of repetitive selection on attention robustly generalize across context, such that prior target features capture attention even in contexts in which they were never seen previously. Our findings suggest that the learning underlying attention driven by outcome-independent selection history differs qualitatively from the learning underlying value-driven attention, consistent with a distinction between associative and reinforcement learning mechanisms.

Entities:  

Keywords:  Associative learning; Attentional capture; Contextual cuing; Selection history; Selective attention

Mesh:

Year:  2019        PMID: 31309530      PMCID: PMC6858529          DOI: 10.3758/s13414-019-01817-1

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  39 in total

1.  Automatic attraction of attention to former targets in visual displays of letters.

Authors:  S Kyllingsbaek; W X Schneider; C Bundesen
Journal:  Percept Psychophys       Date:  2001-01

Review 2.  A unified model for perceptual learning.

Authors:  Aaron Seitz; Takeo Watanabe
Journal:  Trends Cogn Sci       Date:  2005-07       Impact factor: 20.229

3.  Attention-gated reinforcement learning of internal representations for classification.

Authors:  Pieter R Roelfsema; Arjen van Ooyen
Journal:  Neural Comput       Date:  2005-10       Impact factor: 2.026

4.  Learning to attend and to ignore is a matter of gains and losses.

Authors:  Chiara Della Libera; Leonardo Chelazzi
Journal:  Psychol Sci       Date:  2009-05-05

5.  Contextual cueing: implicit learning and memory of visual context guides spatial attention.

Authors:  M M Chun; Y Jiang
Journal:  Cogn Psychol       Date:  1998-06       Impact factor: 3.468

Review 6.  A value-driven mechanism of attentional selection.

Authors:  Brian A Anderson
Journal:  J Vis       Date:  2013-04-15       Impact factor: 2.240

7.  Context-dependent control over attentional capture.

Authors:  Joshua D Cosman; Shaun P Vecera
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-10-01       Impact factor: 3.332

Review 8.  Neural mechanisms of selective visual attention.

Authors:  R Desimone; J Duncan
Journal:  Annu Rev Neurosci       Date:  1995       Impact factor: 12.449

Review 9.  Advances in visual perceptual learning and plasticity.

Authors:  Yuka Sasaki; Jose E Nanez; Takeo Watanabe
Journal:  Nat Rev Neurosci       Date:  2009-12-02       Impact factor: 34.870

10.  Components of reward-driven attentional capture.

Authors:  Li Z Sha; Yuhong V Jiang
Journal:  Atten Percept Psychophys       Date:  2016-02       Impact factor: 2.199

View more
  7 in total

1.  Selection history is relative.

Authors:  Ming-Ray Liao; Mark K Britton; Brian A Anderson
Journal:  Vision Res       Date:  2020-07-11       Impact factor: 1.886

Review 2.  An adaptive view of attentional control.

Authors:  Brian A Anderson
Journal:  Am Psychol       Date:  2021-12

3.  Value-Biased Competition in the Auditory System of the Brain.

Authors:  Andy J Kim; Laurent Grégoire; Brian A Anderson
Journal:  J Cogn Neurosci       Date:  2021-12-06       Impact factor: 3.420

4.  Specificity and persistence of statistical learning in distractor suppression.

Authors:  Mark K Britton; Brian A Anderson
Journal:  J Exp Psychol Hum Percept Perform       Date:  2019-12-30       Impact factor: 3.332

5.  Selection History-Driven Signal Suppression.

Authors:  Brian A Anderson; Andy Jeesu Kim
Journal:  Vis cogn       Date:  2020-02-17

6.  Real-world object categories and scene contexts conjointly structure statistical learning for the guidance of visual search.

Authors:  Ariel M Kershner; Andrew Hollingworth
Journal:  Atten Percept Psychophys       Date:  2022-04-14       Impact factor: 2.157

7.  Testing reward-cue attentional salience: Attainment and dynamic changes.

Authors:  Matteo De Tommaso; Massimo Turatto
Journal:  Br J Psychol       Date:  2021-10-28
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.