Literature DB >> 30773366

Dissociable Components of Experience-Driven Attention.

Haena Kim1, Brian A Anderson2.   

Abstract

What we pay attention to is influenced by current task goals (goal-directed attention) [1, 2], the physical salience of stimuli (stimulus-driven attention) [3-5], and selection history [6-12]. This third construct, which encompasses reward learning, aversive conditioning, and repetitive orienting behavior [12-18], is often characterized as a unitary mechanism of control that can be contrasted with the other two [12-14]. Here, we present evidence that two different learning processes underlie the influence of selection history on attention, with dissociable consequences for orienting behavior. Human observers performed an antisaccade task in which they were paid for shifting their gaze in the direction opposite one of two color-defined targets. Strikingly, such training resulted in a bias to do the opposite of what observers were motivated and paid to do, with associative learning facilitating orienting toward reward cues. On the other hand, repetitive orienting away from a target produced a bias to repeat this behavior even when it conflicted with current goals, reflecting instrumental conditioning of the orienting response. Our findings challenge the idea that selection history reflects a common mechanism of learning-dependent priority and instead suggest multiple distinct routes by which learning history shapes orienting behavior. We also provide direct evidence for the idea that value-based attention is approach oriented, which limits the effectiveness of attentional bias modification techniques that utilize incentive structures.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  antisaccade; attentional capture; automaticity; eye movements; habit learning; reward learning; selective attention

Year:  2019        PMID: 30773366      PMCID: PMC6728920          DOI: 10.1016/j.cub.2019.01.030

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  39 in total

1.  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

2.  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

3.  Attentional bias modification in tobacco smokers.

Authors:  Matt Field; Theodora Duka; Elizabeth Tyler; Tim Schoenmakers
Journal:  Nicotine Tob Res       Date:  2009-05-27       Impact factor: 4.244

4.  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 5.  What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience?

Authors:  K C Berridge; T E Robinson
Journal:  Brain Res Brain Res Rev       Date:  1998-12

6.  People look at the object they fear: oculomotor capture by stimuli that signal threat.

Authors:  Tom Nissens; Michel Failing; Jan Theeuwes
Journal:  Cogn Emot       Date:  2016-10-31

Review 7.  Computational modelling of visual attention.

Authors:  L Itti; C Koch
Journal:  Nat Rev Neurosci       Date:  2001-03       Impact factor: 34.870

8.  Components of reward-driven attentional capture.

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

9.  Attentional capture by evaluative stimuli: gain- and loss-connoting colors boost the additional-singleton effect.

Authors:  Dirk Wentura; Philipp Müller; Klaus Rothermund
Journal:  Psychon Bull Rev       Date:  2014-06

Review 10.  Selection history: How reward modulates selectivity of visual attention.

Authors:  Michel Failing; Jan Theeuwes
Journal:  Psychon Bull Rev       Date:  2018-04
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  24 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

2.  Reward learning biases the direction of saccades.

Authors:  Ming-Ray Liao; Brian A Anderson
Journal:  Cognition       Date:  2019-11-27

3.  Neural correlates of attentional capture by stimuli previously associated with social reward.

Authors:  Andy J Kim; Brian A Anderson
Journal:  Cogn Neurosci       Date:  2019-03-05       Impact factor: 3.065

4.  Time to Stop Calling it Attentional "Capture" and Embrace a Mechanistic Understanding of Attentional Priority.

Authors:  Brian A Anderson
Journal:  Vis cogn       Date:  2021-03-02

5.  How Does Threat Modulate the Motivational Effects of Reward on Attention?

Authors:  Andy J Kim; Brian A Anderson
Journal:  Exp Psychol       Date:  2021-05

6.  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

7.  Selection History-Driven Signal Suppression.

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

Review 8.  Gotcha: Working memory prioritization from automatic attentional biases.

Authors:  Susan M Ravizza; Katelyn M Conn
Journal:  Psychon Bull Rev       Date:  2021-06-15

9.  The influence of reward history on goal-directed visual search.

Authors:  David S Lee; Andy J Kim; Brian A Anderson
Journal:  Atten Percept Psychophys       Date:  2022-01-19       Impact factor: 2.199

10.  Combined influence of valence and statistical learning on the control of attention: Evidence for independent sources of bias.

Authors:  Haena Kim; Brian A Anderson
Journal:  Cognition       Date:  2020-12-25
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