Selective visual attention in a neurocomputational model of phase oscillators

被引:15
|
作者
Wu, ZH [1 ]
Guo, AK [1 ]
机构
[1] Chinese Acad Sci, Inst Biophys, Lab Visual Informat Proc, Beijing 100101, Peoples R China
关键词
D O I
10.1007/s004220050518
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In order to understand the dynamic property of covert selective visual attention, which is different from the proposed mechanism of the spotlight metaphor, a two-layered network of phase oscillators was developed. The first layer is related to the hippocampus and controls attention focus formation. The second layer is related to the visual cortex, and each cortical oscillator in it simulates an assembly of cells coding for a particular stimulus in the sense of feature binding. Selective visual attention is interpreted as the result of the emergent synchronization of hippocampus oscillators and a part of cortical oscillators. Numerical experiments are presented to illustrate attention focus formation and attention shifting from one set of stimuli to another. From a neurocomputational point of view, our results demonstrate that attention is an emergent property of the dynamical cell assemblies responding to the whole visual field.
引用
收藏
页码:205 / 214
页数:10
相关论文
共 50 条
  • [31] Visual Selective Attention in Mice
    Wang, Lupeng
    Krauzlis, Richard J.
    CURRENT BIOLOGY, 2018, 28 (05) : 676 - +
  • [32] Visual selective attention: Outlines of a choice model, a race model and a computational theory
    Bundesen, C
    VISUAL COGNITION, 1998, 5 (1-2) : 287 - 309
  • [33] Selective visual attention, visual search and visual awareness
    Butter, CM
    ROOTS OF VISUAL AWARENESS: A FESTSCHRIFT IN HONOR OF ALAN COWEY, 2003, 144 : 183 - 196
  • [34] Object representation-by-fragments in the visual system: A neurocomputational model
    Joyce, DW
    Richards, LV
    Cangelosi, A
    Coventry, KR
    ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, : 139 - 143
  • [35] A Neurodynamical Approach to Visual Affordances: The Selective Attention for Action Model (SAAM)
    Bohme, Christoph
    Heinke, Dietmar
    ADVANCES IN COGNITIVE NEURODYNAMICS (II), 2011, : 501 - 505
  • [36] Modelling visual search experiments: the selective attention for identification model (SAIM)
    Heinke, D
    Humphreys, GW
    di Virgilio, G
    NEUROCOMPUTING, 2002, 44 : 817 - 822
  • [38] Feedback selective visual attention model based on feature integration theory
    Zhao, LW
    Luo, SW
    ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2, 2004, 3174 : 482 - 487
  • [39] Modeling visual search: Evolving the selective attention for identification model (SAIM)
    Heinke, D
    Humphreys, GW
    Tweed, CL
    CONNECTIONIST MODELS OF COGNITION AND PERCEPTION II, 2004, 15 : 168 - 177
  • [40] A model for selective visual attention based on discrete scale-spaces
    Satoh, S
    Miyake, S
    KNOWLEDGE-BASED INTELLIGNET INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2003, 2774 : 147 - 154