Transition dynamics and optogenetic control of epileptiform activity in a modified mean filed model of human cortex

DOI10.1016/J.CNSNS.2022.106812zbMath1501.92017OpenAlexW4294203832MaRDI QIDQ2094434

Luyao Yan, Zhuan Shen, Lin Du, Zi-Chen Deng, Honghui Zhang, Yuzhi Zhao

Publication date: 28 October 2022

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2022.106812

zbMATH Keywords

epilepsymean field modeldisinhibitionoptogeneticpoly-spikes

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Medical applications (general) (92C50) Biophysics (92C05) Pathology, pathophysiology (92C32)

Cites Work

• Controlling absence seizures by deep brain stimulus applied on substantia nigra pars reticulata and cortex
• Metabifurcation analysis of a mean field model of the cortex
• Open loop optogenetic control of simulated cortical epileptiform activity
• A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy
• Eventual dissipativeness and synchronization of nonlinearly coupled dynamical network of Hindmarsh-Rose neurons
• Alpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons
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