A dynamic evolution model for the set of populations of neurons

被引：0
|
作者：
Wang, RB [1 ]
Chen, H [1 ]
机构：
[1] Donghua Univ, Sch Sci, Inst Brain Informat Proc & Cognit Neurosci, Shanghai 200051, Peoples R China
来源：
INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION | 2003年 / 4卷 / 03期
关键词：
m populations of neurons; stimulation and background noise; phase resetting dynamics; the PFK equation; average number density; changeable amplitude;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A model for the phase resetting dynamics of concourse composed by m neuronal populations is proposed, and the concept of the global average number density is presented. The model can describe the interaction of m neuronal populations and the evolution alone with time under both stimulation and noise at two aspects of the phase and the amplitude, and it is more close to actual action of the behavior of brain.
引用
收藏
页码：203 / 208
页数：6
相关论文
共 50 条
  • [31] A dynamic model for evolution of crystal shape
    Gadewar, SB
    Doherty, MF
    [J]. JOURNAL OF CRYSTAL GROWTH, 2004, 267 (1-2) : 239 - 250
  • [32] A Dynamic Model for the Evolution of Protein Structure
    Guy Tal
    Simina Maria Boca
    Jay Mittenthal
    Gustavo Caetano-Anollés
    [J]. Journal of Molecular Evolution, 2016, 82 : 230 - 243
  • [33] Dynamic genome evolution in a model fern
    Marchant, D. Blaine
    Chen, Guang
    Cai, Shengguan
    Chen, Fei
    Schafran, Peter
    Jenkins, Jerry
    Shu, Shengqiang
    Plott, Chris
    Webber, Jenell
    Lovell, John T.
    He, Guifen
    Sandor, Laura
    Williams, Melissa
    Rajasekar, Shanmugam
    Healey, Adam
    Barry, Kerrie
    Zhang, Yinwen
    Sessa, Emily
    Dhakal, Rijan R.
    Wolf, Paul G.
    Harkess, Alex
    Li, Fay-Wei
    Roessner, Clemens
    Becker, Annette
    Gramzow, Lydia
    Xue, Dawei
    Wu, Yuhuan
    Tong, Tao
    Wang, Yuanyuan
    Dai, Fei
    Hua, Shuijin
    Wang, Hua
    Xu, Shengchun
    Xu, Fei
    Duan, Honglang
    Theissen, Guenter
    McKain, Michael R.
    Li, Zheng
    McKibben, Michael T. W.
    Barker, Michael S.
    Schmitz, Robert J.
    Stevenson, Dennis W.
    Zumajo-Cardona, Cecilia
    Ambrose, Barbara A.
    Leebens-Mack, James H.
    Grimwood, Jane
    Schmutz, Jeremy
    Soltis, Pamela S.
    Soltis, Douglas E.
    Chen, Zhong-Hua
    [J]. NATURE PLANTS, 2021, 8 (09) : 1038 - +
  • [34] A Dynamic Evolution Model of Airline Networks
    Xie, Ze-Jun
    Zhang, Lu-Man
    Deng, Sheng-Feng
    Li, Wei
    [J]. CHINESE PHYSICS LETTERS, 2017, 34 (05)
  • [35] Research and Application of a Dynamic Evolution Model
    Zhang, Dan
    Shi, Wei-feng
    [J]. 2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VIII, 2010, : 367 - 370
  • [36] The Evolution of Englishes: The Dynamic Model and Beyond
    Hoffmann, Sebastian
    [J]. JOURNAL OF SOCIOLINGUISTICS, 2015, 19 (04) : 574 - 582
  • [37] Research and Application of a Dynamic Evolution Model
    Zhang, Dan
    Shi, Wei-feng
    [J]. 2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL III, 2011, : 367 - 370
  • [38] A MODEL FOR THE EVOLUTION OF COMMUNAL FORAGING IN HIERARCHICALLY STRUCTURED POPULATIONS
    KELLY, JK
    [J]. BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY, 1994, 35 (03) : 205 - 212
  • [39] A new model for the evolution of the human Pleistocene populations of Europe
    Maria Bermudez de Castro, Jose
    Martinon-Torres, Maria
    [J]. QUATERNARY INTERNATIONAL, 2013, 295 : 102 - 112
  • [40] Language evolution in populations: Extending the Iterated Learning Model
    Smith, K
    Hurford, JR
    [J]. ADVANCES IN ARTIFICIAL LIFE, PROCEEDINGS, 2003, 2801 : 507 - 516
12345