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Biol. Cybern. (2005) DOI 10.1007/s00422-005-0572-0

Summary: Biol. Cybern. (2005)
DOI 10.1007/s00422-005-0572-0
Peter Andras
Pattern computation in neural communication systems
Received: 4 November 2004 / Accepted: 18 March 2005 / Published online: 17 May 2005
Springer-Verlag 2005
Abstract Biological data suggests that activity patterns eme-
rging in small- and large-scale neural systems may play an
important role in performing the functions of the neural sys-
tem, and in particular, neural computations. It is proposed
in this paper that neural systems can be understood in terms
of pattern computation and abstract communication systems
theory. It is shown that analysing high-resolution surface
EEG data, it is possible to determine abstract probabilistic
rules that describe how emerging activity patterns follow ear-
lier activity patterns. The results indicate the applicability
of the proposed approach for understanding the working of
complex neural systems.
1 Introduction


Source: Andras, Peter - School of Computing Science, University of Newcastle upon Tyne
Newcastle upon Tyne, University of - School of Computing Science


Collections: Computer Technologies and Information Sciences