Neural mechanisms for learning of attention control and pattern categorization as basis for robot cognition

被引:0
|
作者
Gonçalves, LMG [1 ]
机构
[1] Lab Anal & Architecture Syst, F-31077 Toulouse, France
来源
2000 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2000), VOLS 1-3, PROCEEDINGS | 2000年
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We present mechanisms for attention control and pattern categorization as the basis for robot cognition. For attention, we gather information from attentional feature maps extracted from sensory data: constructing salience maps to decide where to foveate. For identification multi-feature maps are used as input to an associative memory, allowing the system to classify a pattern representing a region of interest. As a practical result, our robotic platforms are able to select regions of interest and perform shifts of attention focusing on the selected regions, and to construct and maintain attentional maps of the environment in an efficient manner.
引用
收藏
页码:70 / 75
页数:6
相关论文
共 50 条
  • [1] Global Neural Pattern Similarity as a Common Basis for Categorization and Recognition Memory
    Davis, Tyler
    Xue, Gui
    Love, Bradley C.
    Preston, Alison R.
    Poldrack, Russell A.
    JOURNAL OF NEUROSCIENCE, 2014, 34 (22): : 7472 - 7484
  • [2] COGNITION-INSPIRED ROBOT LEARNING AND CONTROL
    Zhang, Jianwei
    ASSISTIVE ROBOTICS, 2016, : 4 - 4
  • [3] Neural basis of aging: The penetration of cognition into action control
    Heuninckx, S
    Wenderoth, N
    Debaere, F
    Peeters, R
    Swinnen, SP
    JOURNAL OF NEUROSCIENCE, 2005, 25 (29): : 6787 - 6796
  • [4] Neural mechanisms of learning and control
    Doya, K
    Kimura, H
    Kawato, M
    IEEE CONTROL SYSTEMS MAGAZINE, 2001, 21 (04): : 42 - 54
  • [5] NEURAL MECHANISMS OF ATTENTION CONTROL IN THE PRIMATE BRAIN
    Kastner, Sabine
    JOURNAL OF COGNITIVE NEUROSCIENCE, 2013, : 21 - 21
  • [6] Self-supervised Attention Learning for Robot Control
    Cong, Lin
    Shi, Yunlei
    Zhang, Jianwei
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE-ROBIO 2021), 2021, : 1153 - 1158
  • [7] Neural mechanisms of attention and control: losing our inhibitions?
    Sander Nieuwenhuis
    Nick Yeung
    Nature Neuroscience, 2005, 8 : 1631 - 1633
  • [8] Neural mechanisms of attention and control: losing our inhibitions?
    Nieuwenhuis, S
    Yeung, N
    NATURE NEUROSCIENCE, 2005, 8 (12) : 1631 - 1633
  • [9] Common Neural Mechanisms Control Attention and Working Memory
    Zhou, Ying
    Curtis, Clayton E.
    Sreenivasan, Kartik K.
    Fougnie, Daryl
    JOURNAL OF NEUROSCIENCE, 2022, 42 (37): : 7110 - 7120
  • [10] Mechanisms and Neural Basis of Object and Pattern Recognition A Study With Chess Experts
    Bilalic, Merim
    Langner, Robert
    Erb, Michael
    Grodd, Wolfgang
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 2010, 139 (04) : 728 - 742