Chaotic itinerancy, temporal segmentation and spatio-temporal combinatorial codes.
作者: Juliana R. DiasRodrigo F. OliveiraOsame Kinouchi
刊名: Physica D, 2008, Vol.237 (1), pp.1-5
来源数据库: ZBMATH期刊
关键词: neural networksneural codescombinatorial codesolfactory systemsensory systems
原始语种摘要: Summary: We study a deterministic dynamics with two time scales in a continuous state attractor network. To the usual (fast) relaxation dynamics towards point attractors (``patterns'') we add a slow coupling dynamics that makes the visited patterns lose stability, leading to an itinerant behavior in the form of punctuated equilibria. One finds that the transition frequency matrix for transitions between patterns shows nontrivial statistical properties in the chaotic itinerant regime. We show that mixture input patterns can be temporally segmented by the itinerant dynamics. The viability of a combinatorial spatio-temporal neural code is also demonstrated.
全文获取路径: ZBMATH 
影响因子:1.669 (2012)

  • temporal 现世的
  • segmentation 分段
  • combinatorial 组合
  • codes 代码组
  • transition 转移
  • segmented 分段[割]的
  • neural 神经系统的
  • itinerant 巡回的
  • scales 天平
  • dynamics 动力学