Localized activity patterns in two-population neuronal networks

被引:40
|
作者
Blomquist, P [1 ]
Wyller, J [1 ]
Einevoll, GT [1 ]
机构
[1] Norwegian Univ Life Sci, Dept Math Sci & Technol, N-1432 As, Norway
关键词
pattern formation; integro-differential equations; short term memory; neuroscience;
D O I
10.1016/j.physd.2005.05.004
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We investigate a two-population neuronal network model of the Wilson-Cowan type with respect to existence of localized stationary solutions ("bumps") and focus on the situation where two separate bump solutions (one narrow pair and one broad pair) exist. The stability of the bumps is investigated by means of two different approaches: The first generalizes the Amari approach, while the second is based on a direct linearization procedure. A classification scheme for the stability problem is formulated, and it is shown that the two approaches yield the same predictions, except for one notable exception. The narrow pair is generically unstable, while the broad pair is stable for small and moderate values of the relative inhibition time. At a critical relative inhibition time the broad pair is typically converted to stable breathers through a Hopf bifurcation. In our numerical example the broad pulse pair remains stable even when the inhibition time constant is three times longer than the excitation time constant. Thus, our model results do not support the claim that slow excitation mediated by, e.g., NMDA-receptors is needed to allow stable bumps. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:180 / 212
页数:33
相关论文
共 50 条
  • [1] Localized activity patterns in excitatory neuronal networks
    Rubin, J
    Bose, A
    NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2004, 15 (02) : 133 - 158
  • [2] Attracting Poisson chimeras in two-population networks
    Lee, Seungjae
    Krischer, Katharina
    CHAOS, 2021, 31 (11)
  • [3] Generation and annihilation of localized persistent-activity states in a two-population neural-field model
    Yousaf, M.
    Kriener, B.
    Wyller, J.
    Einevoll, G. T.
    NEURAL NETWORKS, 2013, 46 : 75 - 90
  • [4] Turing instability and pattern formation in a two-population neuronal network model
    Wyller, John
    Blomquist, Patrick
    Einevoll, Gaute T.
    PHYSICA D-NONLINEAR PHENOMENA, 2007, 225 (01) : 75 - 93
  • [5] Persistent localized activity in a two-population neural-field model with spatio-temporal external input
    Muhammad Yousaf
    Gaute T Einevoll
    Tom Tetzlaff
    John Wyller
    BMC Neuroscience, 12 (Suppl 1)
  • [6] Effect of localized input on bump solutions in a two-population neural-field model
    Yousaf, Muhammad
    Wyller, John
    Tetzlaff, Tom
    Einevoll, Gaute T.
    NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2013, 14 (02) : 997 - 1025
  • [7] Imitative Behavior in a Two-Population Model
    Accinelli, Elvio
    Brida, Juan Gabriel
    Carrera, Edgar J. Sanchez
    ADVANCES IN DYNAMIC GAMES: THEORY, APPLICATIONS, AND NUMERICAL METHODS FOR DIFFERENTIAL AND STOCHASTIC GAMES: DEDICATED TO THE MEMORY OF ARIK A. MELIKYAN, 2011, 11 : 275 - +
  • [8] Hierarchical two-population genetic algorithm
    Martikainen, J
    Ovaska, SJ
    SMCIA/05: PROCEEDINGS OF THE 2005 IEEE MID-SUMMER WORKSHOP ON SOFT COMPUTING IN INDUSTRIAL APPLICATIONS, 2005, : 91 - 98
  • [9] Exploring a two-population genetic algorithm
    Kimbrough, SO
    Lu, M
    Wood, DH
    Wu, DJ
    GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS, 2003, 2723 : 1148 - 1159
  • [10] Chimera dynamics of generalized Kuramoto-Sakaguchi oscillators in two-population networks
    Lee, Seungjae
    Krischer, Katharina
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2023, 56 (40)