Cortical activity pattern computation

Andras, Peter; Wennekers, Thomas

Abstract

Neural computations are modelled in various ways, but still there is no clear understanding of how the brain performs its computational tasks. This paper presents new results about analysis of neural processes in terms of activity pattern computations. It is shown that it is possible to extract from high-resolution EEG data a first order Markov approximation of a neural communication system employing pattern computations, which is significantly different from similar purely random systems. In our view this result shows that it is likely that neural activity patterns measurable at the macro-level by EEG are correlated with underlying neural computations.

Citation

Andras, P., & Wennekers, T. (2007). Cortical activity pattern computation. BioSystems, 87(2-3), 179-185. https://doi.org/10.1016/j.biosystems.2006.09.012

• Journal Article Type: Article
• Acceptance Date: Jul 15, 2006
• Online Publication Date: Sep 7, 2006
• Publication Date: 2007-02
• Deposit Date: Nov 3, 2021
• Journal: BioSystems
• Print ISSN: 0303-2647
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 87
• Issue: 2-3
• Pages: 179-185
• DOI: https://doi.org/10.1016/j.biosystems.2006.09.012
• Keywords: EEG, Markov model, Neural system, Neural activity pattern, Pattern computation
• Public URL: http://researchrepository.napier.ac.uk/Output/2809081