Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG

Ahalpara, Dilip P., Arora, Siddharth and Santhanam, M.S. (2009) Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG. Lecture Notes in Computer Science, 5481. pp. 13-24.

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Abstract

Effects of parameter mismatches in synchronized time series are studied first for an analytical non-linear dynamical system (coupled logistic map, CLM) and then in a real system (Electroencephalograph (EEG) signals). The internal system parameters derived from GP analysis are shown to be quite effective in understanding aspects of synchronization and non-synchronization in the two systems considered. In particular, GP is also successful in generating the CLM coupled equations to a very good accuracy with reasonable multi-step predictions. It is shown that synchronization in the above two systems is well understood in terms of parameter mismatches in the system equations derived by GP approach.

Item Type: Article
Keywords: Management science
Subject(s): Management science
Date Deposited: 21 Nov 2017 10:36
Last Modified: 21 Nov 2017 10:36
Funders: N/A
URI: http://eureka.sbs.ox.ac.uk/id/eprint/6652

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