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The role of brain chaos

Lookup NU author(s): Dr Peter Andras


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A new interpretation of the brain chaos is proposed in this paper. The fundamental ideas are grounded in approximation theory. We show how the chaotic brain activity can lead to the emergence of highly precise behavior. To provide a simple example we use the Sierpinski triangles and we introduce the Sierpinski brain. We analyze the learning processes of brains working with chaotic neural objects. We discuss the general implications of the presented work, with special emphasis on messages for AI research.

Publication metadata

Author(s): Andras P

Editor(s): Wermter, S., Austin, J., Willshaw, D.

Publication type: Book Chapter

Publication status: Published

Book Title: Emergent Neural Computational Architectures Based on Neuroscience: Towards Neuroscience-Inspired Computing

Year: 2001

Volume: 2036

Pages: 296-310

Print publication date: 01/01/2001

Series Title: Lecture Notes in Computer Science

Publisher: Springer

Place Published: Berlin; New York

Library holdings: Search Newcastle University Library for this item

ISBN: 9783540423638