Modeling brain electrical activity in epilepsy by reaction-diffusion cellular neural networks

F. Gollas; R. Tetzlaff

doi:10.1117/12.608643

29 June 2005 Modeling brain electrical activity in epilepsy by reaction-diffusion cellular neural networks

F. Gollas, R. Tetzlaff

Proceedings Volume 5839, Bioengineered and Bioinspired Systems II; (2005) https://doi.org/10.1117/12.608643
Event: Microtechnologies for the New Millennium 2005, 2005, Sevilla, Spain

Abstract

Reaction-Diffusion systems can be applied to describe a broad class of nonlinear phenomena, in particular in biological systems and in the propagation of nonlinear waves in excitable media. Especially, pattern formation and chaotic behavior are observed in Reaction-Diffusion systems and can be analyzed. Due to their structure multi-layer Cellular Neural Networks (CNN) are capable of representing Reaction-Diffusion systems effectively. In this contribution Reaction-Diffusion CNN are considered for modeling dynamics of brain activity in epilepsy. Thereby the parameters of Reaction-Diffusion systems are determined in a supervised optimization process, and brain electrical activity using invasive multi-electrode EEG recordings is analyzed with the aim to detect of precursors of impending epileptic seizures. A detailed discussion of first results and potentiality of the proposed approach will be given.

Citation Download Citation

F. Gollas and R. Tetzlaff "Modeling brain electrical activity in epilepsy by reaction-diffusion cellular neural networks", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); https://doi.org/10.1117/12.608643

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