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Summary: The Sierpinski Brain
Péter András
Neural Systems Group
Department of Psychology
University of Newcastle
Newcastle upon Tyne, NE1 7RU, UK
peter.andras@ncl.ac.uk
Abstract
The paper presents a new approach to the interpretation
of chaotic neural activity. It is suggested that such activity
forms neural objects represented as spatio-temporal
firing patterns and the neural computations are
performed through the interaction of such neural objects.
To introduce the concepts of the proposed interpretation
the so-called Sierpinski brain is described. This model
brain is composed of simple neural networks, which
produce Sierpinski triangles as their chaotic spatio-
temporal firing pattern. It is shown how such Sierpinski
triangles can be used to perform general approximation,
prediction and classification tasks. This paper discusses
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