Pattern computation in neural communication systems

Andras, Peter

Abstract

Biological data suggests that activity patterns emerging in small- and large-scale neural systems may play an important role in performing the functions of the neural system, 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 earlier activity patterns. The results indicate the applicability of the proposed approach for understanding the working of complex neural systems.

Citation

Andras, P. (2005). Pattern computation in neural communication systems. Biological Cybernetics, 92, 452-460. https://doi.org/10.1007/s00422-005-0572-0

• Journal Article Type: Article
• Acceptance Date: Mar 18, 2005
• Online Publication Date: May 17, 2005
• Publication Date: 2005-06
• Deposit Date: Nov 3, 2021
• Journal: Biological cybernetics
• Print ISSN: 0340-1200
• Electronic ISSN: 1432-0770
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 92
• Pages: 452-460
• DOI: https://doi.org/10.1007/s00422-005-0572-0
• Keywords: Communication System, System Theory, Activity Pattern, Biological Data, Neural System
• Public URL: http://researchrepository.napier.ac.uk/Output/2808717