A class of simple networks for modeling spike-wave discharges

Anton A. Kapustnikov; Marina V. Sysoeva; Ilya V. Sysoev

doi:10.1117/12.2589493

4 May 2021 A class of simple networks for modeling spike-wave discharges

Anton A. Kapustnikov, Marina V. Sysoeva, Ilya V. Sysoev

Proceedings Volume 11847, Saratov Fall Meeting 2020: Computations and Data Analysis: from Molecular Processes to Brain Functions; 1184703 (2021) https://doi.org/10.1117/12.2589493
Event: Saratov Fall Meeting 2020, 2020, Saratov, Russian Federation

Abstract

Absence epilepsy is a widespread among children and adolescents form of disease, manifestating itself on EEG with spike-wave discharges (SWDs). It was shown, just as a proof of concept, that SWDs can be considered as a long transient process rather than attractor in a phase space. In this work, we investigate this hypothesis in detail, studying a small class of simple mathematical models consisting of 14 identical FitzHugh–Nagumo neurons, organized in accordance with modern concepts of the thalamo-cortical network of the brain. Some models belonging to the class studied demonstrate rather long transient processes in response to a short in time external driving from an individual neuron modeling the trigeminal nerve.

Citation Download Citation

Anton A. Kapustnikov, Marina V. Sysoeva, and Ilya V. Sysoev "A class of simple networks for modeling spike-wave discharges", Proc. SPIE 11847, Saratov Fall Meeting 2020: Computations and Data Analysis: from Molecular Processes to Brain Functions, 1184703 (4 May 2021); https://doi.org/10.1117/12.2589493

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