Information Exchange between Cortical Areas: The Visual System as a Model

被引:1
|
作者
Zeng, Hang [1 ,2 ]
Chen, Siyi [3 ]
Fink, Gereon R. [2 ,4 ]
Weidner, Ralph [2 ]
机构
[1] Beijing Normal Univ, Ctr Educ Sci & Technol, Zhuhai 519087, Peoples R China
[2] Res Ctr Julich, Inst Neurosci & Med INM 3, Cognit Neurosci, Julich, Germany
[3] Ludwig Maximilians Univ Munchen, Munich, Germany
[4] Cologne Univ, Univ Hosp Cologne, Dept Neurol, Cologne, Germany
来源
NEUROSCIENTIST | 2023年 / 29卷 / 03期
关键词
cortico-cortical communication; interareal information exchange; visual cortex; MULTISENSORY INTEGRATION; PULVINAR INACTIVATION; FEEDBACK CONNECTIONS; OCULAR DOMINANCE; NEURAL SYSTEMS; FRONTAL-CORTEX; RICH-CLUB; MACAQUE; PRIMATE; FIELD;
D O I
10.1177/10738584211069061
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
As nearly all brain functions, perception, motion, and higher-order cognitive functions require coordinated neural information processing within distributed cortical networks. Over the past decades, new theories and techniques emerged that advanced our understanding of how information is transferred between cortical areas. This review surveys critical aspects of interareal information exchange. We begin by examining the brain's structural connectivity, which provides the basic framework for interareal communication. We then illustrate information exchange between cortical areas using the visual system as an example. Next, well-studied and newly proposed theories that may underlie principles of neural communication are reviewed, highlighting recent work that offers new perspectives on interareal information exchange. We finally discuss open questions in the study of the neural mechanisms underlying interareal information exchange.
引用
收藏
页码:370 / 384
页数:15
相关论文
共 50 条
  • [1] Synchronization and phase between model cortical areas determine information transfer
    Marije ter Wal
    Paul Tiesinga
    [J]. BMC Neuroscience, 14 (Suppl 1)
  • [2] Phase Difference between Model Cortical Areas Determines Level of Information Transfer
    ter Wal, Marije
    Tiesinga, Paul H.
    [J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2017, 11
  • [3] Dynamic excitation of cortical areas during visual information processing
    Kuriki, S
    Takeuchi, F
    Hirata, Y
    [J]. BRAIN TOPOGRAPHY TODAY, 1997, 1147 : 64 - 68
  • [4] Perceptual grouping and the interactions between visual cortical areas
    Murray, SO
    Schrater, P
    Kersten, D
    [J]. NEURAL NETWORKS, 2004, 17 (5-6) : 695 - 705
  • [5] Information exchange between pairs of spike trains in the mammalian visual system
    Lowen, SB
    Ozaki, T
    Kaplan, E
    Teich, MC
    [J]. COMPUTATIONAL NEUROSCIENCE: TRENDS IN RESEARCH, 1998, : 447 - 452
  • [6] SUBLIMINAL INTERHEMISPHERIC CONNECTIONS BETWEEN VISUAL CORTICAL AREAS
    INNOCENTI, GM
    [J]. BOLLETTINO DELLA SOCIETA ITALIANA DI BIOLOGIA SPERIMENTALE, 1975, 51 (18BI): : 137 - 137
  • [7] A FORWARD-INVERSE OPTICS MODEL OF RECIPROCAL CONNECTIONS BETWEEN VISUAL CORTICAL AREAS
    KAWATO, M
    HAYAKAWA, H
    INUI, T
    [J]. NETWORK-COMPUTATION IN NEURAL SYSTEMS, 1993, 4 (04) : 415 - 422
  • [8] Visual intracortical and transthalamic pathways carry distinct information to cortical areas
    Blot, Antonin
    Roth, Morgane M.
    Gasler, Ioana
    Javadzadeh, Mitra
    Imhof, Fabia
    Hofer, Sonja B.
    [J]. NEURON, 2021, 109 (12) : 1996 - +
  • [10] INVESTIGATION OF THE PLACE OF THE PRIMARY VISUAL CORTICAL AREAS IN THE OCULOMOTOR SYSTEM
    MOSHONKINA, T
    SVETLOVA, U
    [J]. PERCEPTION, 1991, 20 (01) : 117 - 117