The language of cortical dynamics

Andras, Peter

Abstract

Cortical dynamics can be recorded in various ways. Theoretical works suggest that analyzing the dynamics of recorded activities might reveal the workings of the underlying neural system. Here we describe the extraction of an activity pattern language that characterizes the dynamics of high-resolution EEG data recorded. We show that the language can be formulated in terms of probabilistic continuation rules which predict reasonably well the dynamics of activity patterns in the data.

Citation

Andras, P. (2006). The language of cortical dynamics. In Computational Life Sciences II: Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006. Proceedings (247-256). https://doi.org/10.1007/11875741_24

• Conference Name: Second International Symposium, CompLife 2006
• Conference Location: Cambridge
• Start Date: Sep 27, 2006
• End Date: Sep 29, 2006
• Publication Date: 2006
• Deposit Date: Nov 23, 2021
• Publisher: Springer
• Pages: 247-256
• Series Title: Lecture Notes in Computer Science
• Series Number: 4216
• Series ISSN: 1611-3349
• Book Title: Computational Life Sciences II: Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006. Proceedings
• ISBN: 978-3-540-45767-1
• DOI: https://doi.org/10.1007/11875741_24
• Keywords: Activity Pattern, Data Vector, Data Matrice, Markovian Approximation, Language Rule
• Public URL: http://researchrepository.napier.ac.uk/Output/2809136