Literature DB >> 30303748

On the representational nature of value-driven spatial attentional biases.

Brian A Anderson1, Haena Kim1.   

Abstract

Reward learning biases attention toward both reward-associated objects and reward-associated regions of space. The relationship between objects and space in the value-based control of attention, as well as the contextual specificity of space-reward pairings, remains unclear. In the present study, using a free-viewing task, we provide evidence of overt attentional biases toward previously rewarded regions of texture scenes that lack objects. When scrutinizing a texture scene, participants look more frequently toward, and spend a longer amount of time looking at, regions that they have repeatedly oriented to in the past as a result of performance feedback. These biases were scene specific, such that different spatial contexts produced different patterns of habitual spatial orienting. Our findings indicate that reinforcement learning can modify looking behavior via a representation that is purely spatial in nature in a context-specific manner. NEW & NOTEWORTHY The representational nature of space in the value-driven control of attention remains unclear. Here, we provide evidence for scene-specific overt spatial attentional biases following reinforcement learning, even though the scenes contained no objects. Our findings indicate that reinforcement learning can modify looking behavior via a representation that is purely spatial in nature in a context-specific manner.

Entities:  

Keywords:  looking behavior; real-world scenes; reward learning; selective attention; spatial attention

Mesh:

Year:  2018        PMID: 30303748     DOI: 10.1152/jn.00489.2018

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  10 in total

1.  Awareness is necessary for attentional biases by location-reward association.

Authors:  Chisato Mine; Takemasa Yokoyama; Yuji Takeda
Journal:  Atten Percept Psychophys       Date:  2021-03-23       Impact factor: 2.199

2.  Reward learning biases the direction of saccades.

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

3.  Pavlovian learning in the selection history-dependent control of overt spatial attention.

Authors:  Brian A Anderson; Ming-Ray Liao; Laurent Grégoire
Journal:  J Exp Psychol Hum Percept Perform       Date:  2022-06-23       Impact factor: 3.077

Review 4.  An adaptive view of attentional control.

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

5.  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

6.  Systemic effects of selection history on learned ignoring.

Authors:  Andy Kim; Brian Anderson
Journal:  Psychon Bull Rev       Date:  2022-02-02

7.  Arousal-Biased Competition Explains Reduced Distraction by Reward Cues under Threat.

Authors:  Andy J Kim; Brian A Anderson
Journal:  eNeuro       Date:  2020-07-07

8.  Attentional Orienting by Non-informative Cue Is Shaped via Reinforcement Learning.

Authors:  Sang A Cho; Yang Seok Cho
Journal:  Front Psychol       Date:  2020-01-15

9.  Reward-driven attention alters perceived salience.

Authors:  Nan Qin; Ruolei Gu; Jingming Xue; Chuansheng Chen; Mingxia Zhang
Journal:  J Vis       Date:  2021-01-04       Impact factor: 2.240

10.  Using aversive conditioning with near-real-time feedback to shape eye movements during naturalistic viewing.

Authors:  Brian A Anderson
Journal:  Behav Res Methods       Date:  2020-09-11
  10 in total

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