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

被引:1
|
作者
Cho, Sang A. [1 ]
Cho, Yang Seok [1 ]
机构
[1] Korea Univ, Dept Psychol, Seoul, South Korea
来源
FRONTIERS IN PSYCHOLOGY | 2020年 / 10卷
关键词
attentional orienting; spatial attention; value-driven attention; reinforcement learning; attentional bias; SPATIAL PRIORITY MAPS; INSTRUMENTAL TRANSFER; REWARD; CAPTURE; CONTEXT; MECHANISMS; MOTIVATION; CONFLICT; SALIENCE; BEHAVIOR;
D O I
10.3389/fpsyg.2019.02884
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
It has been demonstrated that a reward-associated stimulus feature captures attention involuntarily. The present study tested whether spatial attentional orienting is biased via reinforcement learning. Participants were to identify a target stimulus presented in one of two placeholders, preceded by a non-informative arrow cue at the center of the display. Importantly, reward was available when the target occurred at a location cued by a reward cue, defined as a specific color (experiments 1 and 3) or a color-direction combination (experiment 2). The attentional bias of the reward cue was significantly increased as trials progressed, resulting in a greater cue-validity effect for the reward cue than the no-reward cue. This attentional bias was still evident even when controlling for the possibility that the incentive salience of the reward cue color modulates the cue-validity effect (experiment 2) or when the reward was withdrawn after reinforcement learning (experiment 3). However, it disappeared when the reward was provided regardless of cue validity (experiment 4), implying that the reinforcement contingency between reward and attentional orienting is a critical determinant of reinforcement learning-based spatial attentional modulation. Our findings highlight that a spatial attentional bias is shaped by value via reinforcement learning.
引用
收藏
页数:18
相关论文
共 28 条
  • [1] Covert orienting to non-informative cues: Reaction time studies
    Tassinari, G
    Berlucchi, G
    [J]. BEHAVIOURAL BRAIN RESEARCH, 1995, 71 (1-2) : 101 - 112
  • [2] Consequences of covert orienting to non-informative stimuli of different modalities: A unitary mechanism?
    Tassinari, G
    Campara, D
    [J]. NEUROPSYCHOLOGIA, 1996, 34 (03) : 235 - 245
  • [3] How does informative and non-informative feedback influences learning in children?
    Moschner, Barbara
    Anschuetz, Andrea
    Thiel, Christiane
    Oezyurt, Jale
    Parchmann, Ilka
    [J]. INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2008, 43 (3-4) : 505 - 506
  • [4] Learning based and Context Aware Non-Informative Comment Detection
    Liu, Mingwei
    Yang, Yanjun
    Peng, Xin
    Wang, Chong
    Zhao, Chengyuan
    Wang, Xin
    Xing, Shuangshuang
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2020), 2020, : 866 - 867
  • [5] A further study of the effect of non-informative shock upon learning
    Gilbert, RW
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 1937, 20 : 396 - 407
  • [6] The effect of non-informative shock upon maze learning and retention with human subjects
    Gilbert, RW
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 1936, 19 : 456 - 466
  • [7] Automated Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature Extraction
    Yao, Heming
    Stidham, Ryan W.
    Soroushmehr, Reza
    Gryak, Jonathan
    Najarian, Kayvan
    [J]. 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 2402 - 2406
  • [8] InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages
    Li, Qiushi
    Zhu, Wenwu
    Wu, Chao
    Pan, Xinglin
    Yang, Fan
    Zhou, Yuezhi
    Zhang, Yaoxue
    [J]. MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, 2020, : 753 - 762
  • [9] Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning
    Choi, Taeyeong
    Cielniak, Grzegorz
    [J]. 10TH EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR 2021), 2021,
  • [10] Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting
    Liu, Liquan
    Yuan, Chi
    Ong, Jia Hoong
    Tuninetti, Alba
    Antoniou, Mark
    Cutler, Anne
    Escudero, Paola
    [J]. BRAIN SCIENCES, 2022, 12 (05)