Attentional control and the self: The Self-Attention Network (SAN)

被引:218
|
作者
Humphreys, Glyn W. [1 ]
Sui, Jie [1 ]
机构
[1] Univ Oxford, Dept Expt Psychol, Oxford OX2 6JD, England
基金
英国经济与社会研究理事会;
关键词
Self-bias; Attention; Own-name effect; Own-face effect; REPETITION BLINDNESS; NEURAL MECHANISMS; FACE; PERCEPTION; RECOGNITION; FAMILIARITY; GUIDANCE; MEMORY; BIASES; NAMES;
D O I
10.1080/17588928.2015.1044427
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Although there is strong evidence that human decision-making is frequently self-biased, it remains unclear whether self-biases mediate attention. Here we review evidence on the relations between self-bias effects in decision-making and attention. We ask: Does self-related information capture attention? Do self-biases modulate pre-attentive processes or do they depend on attentional resources being available? We review work on (1) own-name effects, (2) own-face effects, and (3) self-biases in associative matching. We argue that self-related information does have a differential impact on the allocation of attention and that it can alter the saliency of a stimulus in a manner that mimics the effects of perceptual-saliency. However, there is also evidence that self-biases depend on the availability of attentional resources and attentional expectancies for upcoming stimuli. We propose a new processing framework, the Self-Attention Network (SAN), in which neural circuits responding to self-related stimuli interact with circuits supporting attentional control, to determine our emergent behavior. We also discuss how these-bias effects may extend beyond the self to be modulated by the broader social context-for example, by cultural experience, by an in-group as opposed to an out-group stimulus, and by whether we are engaged in joint actions. Self-biases on attention are modulated by social context.
引用
收藏
页码:5 / 17
页数:13
相关论文
共 50 条
  • [21] TESANet: Self-attention network for olfactory EEG classification
    Tong, Chengxuan
    Ding, Yi
    Liang, Kevin Lim Jun
    Zhang, Zhuo
    Zhang, Haihong
    Guan, Cuntai
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [22] Grassmannian Manifold Self-Attention Network for Signal Classification
    Wang, Rui
    Hu, Chen
    Chen, Ziheng
    Wu, Xiao-Jun
    Song, Xiaoning
    PROCEEDINGS OF THE THIRTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2024, 2024, : 5099 - 5107
  • [23] Quantum mixed-state self-attention network
    Chen, Fu
    Zhao, Qinglin
    Feng, Li
    Chen, Chuangtao
    Lin, Yangbin
    Lin, Jianhong
    NEURAL NETWORKS, 2025, 185
  • [24] A visual self-attention network for facial expression recognition
    Yu, Naigong
    Bai, Deguo
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [25] A Self-attention Based LSTM Network for Text Classification
    Jing, Ran
    2019 3RD INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND ARTIFICIAL INTELLIGENCE (CCEAI 2019), 2019, 1207
  • [26] SELF-ATTENTION GENERATIVE ADVERSARIAL NETWORK FOR SPEECH ENHANCEMENT
    Huy Phan
    Nguyen, Huy Le
    Chen, Oliver Y.
    Koch, Philipp
    Duong, Ngoc Q. K.
    McLoughlin, Ian
    Mertins, Alfred
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 7103 - 7107
  • [27] Diversifying Search Results using Self-Attention Network
    Qin, Xubo
    Dou, Zhicheng
    Wen, Ji-Rong
    CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, 2020, : 1265 - 1274
  • [28] Hierarchical Self-Attention Network for Action Localization in Videos
    Pramono, Rizard Renanda Adhi
    Chen, Yie-Tarng
    Fang, Wen-Hsien
    2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 61 - 70
  • [29] Self-attention Based Collaborative Neural Network for Recommendation
    Ma, Shengchao
    Zhu, Jinghua
    WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, WASA 2019, 2019, 11604 : 235 - 246
  • [30] A pagerank self-attention network for traffic flow prediction
    Kang, Ting
    Wang, Huaizhi
    Wu, Ting
    Peng, Jianchun
    Jiang, Hui
    FRONTIERS IN ENERGY RESEARCH, 2022, 10