Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-27T05:22:32.483Z Has data issue: false hasContentIssue false
  • English
  • Français

The plausibility of a chaotic brain theory

Published online by Cambridge University Press:  15 November 2002

Ichiro Tsuda
Ichiro Tsuda
Affiliation:
Department of Mathematics, Graduate School of Science, Hokkaido University, Sapporo, 060-0810, Japantsuda@math.sci.hokudai.ac.jp
Get access Rights & Permissions [Opens in a new window]

Abstract

We consider the significance of high-dimensional transitory dynamics in the brain and mind. In particular, we highlight the roles of high-dimensional chaotic dynamical systems as an “adequate language” (Gelfand 1989), which should possess both explanatory and predictive power of description. We discuss the methods of description of dynamic behavior of the brain. These methods have been adopted to capture the averaged or deterministic complexity, and further to allow for discussion of a new approach to capture the complexity of the deviation from such an averaged complexity and also the complexity of interactive modes. We also give arguments in defense of our models for dynamic memory with chaotic itinerancy and Cantor coding. In addition, we discuss the reality that a model of the brain and mind should reflect.

Type
Author's Response
Information
Behavioral and Brain Sciences , Volume 24 , Issue 5 , October 2001 , pp. 829 - 840
Copyright
© 2001 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)