Mathematical description of brain dynamics in perception and action
Authors: Nicolis J.S.1; Tsuda I.2
Source: Journal of Consciousness Studies, Volume 6, Numbers 11-12, 1999 , pp. 215-228(14)
Publisher: Imprint Academic
Abstract:
A given but otherwise random environmental time series impinging on the input of a certain biological processor passes through with overwhelming probability practically undetected. A very small percentage of environmental stimuli, though, is captured by the processor's nonlinear dissipative operator as initial conditions, and is processed as solutions of its dynamics. The processor, then, is in such cases instrumental in compressing or abstracting those stimuli, thereby making the external world to collapse from a previous regime of a pure state of suspended animation into a set of stable complementary and mutually exclusive eigenfunctions or categories'. The characteristics of this cognitive set depend on the operator involved and the hierarchical level where the abstraction takes place. Depending on the context, the transition from one state to another occurs in such a cognitive operator. The chaotic itinerancy may play a crucial role for this process. In this paper we model the dynamics which may underlie such a cognitive process and the role of the thalamo-cortical pacemaker of the (human) brain. In order to model them, conceptualization by the notion of attractor ruin in high-dimensional dynamical systems is necessary.
Language: English
Document Type: Research article
Affiliations: 1: Department of Electrical Engineering, University of Patras, Greece. 2: Email: tsuda@math.sci.hokudai.ac.jp

Click here for Page Help