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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.
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
Print publication date: 01/01/2001
Series Title: Lecture Notes in Computer Science
Place Published: Berlin; New York
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