Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems

Behavioral and Brain Sciences 24 (5):793-810 (2001)

Abstract
Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in high-dimensional dynamical systems with and without a noise term has motivated a new interpretation of this dynamic neural activity, cast in terms of the high-dimensional transitory dynamics among “exotic” attractors. This interpretation is quite different from the conventional one, cast in terms of simple behavior on low-dimensional attractors. Skarda and Freeman (1987) presented evidence in support of the conclusion that animals cannot memorize odor without chaotic activity of neuron populations. Following their work, we study the role of chaotic dynamics in biological information processing, perception, and memory. We propose a new coding scheme of information in chaos-driven contracting systems we refer to as Cantor coding. Since these systems are found in the hippocampal formation and also in the olfactory system, the proposed coding scheme should be of biological significance. Based on these intensive studies, a hypothesis regarding the formation of episodic memory is given. Key Words: Cantor coding; chaotic itinerancy; dynamic aspects of the brain; dynamic associative memory; episodic memory; high-dimensional dynamical systems; SCND attractors.
Keywords Cantor coding   chaotic itinerancy   dynamic aspects of the brain   dynamic associative memory   episodic memory   high-dimensional dynamical systems   SCND attractors
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DOI 10.1017/s0140525x01000097
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Context-Switching and Responsiveness to Real Relevance.Erik Rietveld - 2012 - In Julian Kiverstein & Michael Wheeler (eds.), Heidegger and Cognitive Science. Palgrave-Macmillan.
Synchronous Neural Oscillations and Cognitive Processes.Lawrence M. Ward - 2003 - Trends in Cognitive Sciences 7 (12):553-559.

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