Review
Version 1
Preserved in Portico This version is not peer-reviewed
Modeling Seizures: From Single Neurons to Networks
Version 1
: Received: 19 February 2021 / Approved: 22 February 2021 / Online: 22 February 2021 (14:45:55 CET)
Version 2 : Received: 11 June 2021 / Approved: 16 June 2021 / Online: 16 June 2021 (12:14:49 CEST)
Version 2 : Received: 11 June 2021 / Approved: 16 June 2021 / Online: 16 June 2021 (12:14:49 CEST)
A peer-reviewed article of this Preprint also exists.
Depannemaecker, D.; Destexhe, A.; Jirsa, V.; Bernard, C. Modeling Seizures: From Single Neurons to Networks. Seizure 2021, 90, 4–8, doi:10.1016/j.seizure.2021.06.015. Depannemaecker, D.; Destexhe, A.; Jirsa, V.; Bernard, C. Modeling Seizures: From Single Neurons to Networks. Seizure 2021, 90, 4–8, doi:10.1016/j.seizure.2021.06.015.
Abstract
Dynamical systems tools offer a complementary approach to detailed biophysical seizure modeling, with high potential for clinical applications. This review describes the theoretical framework, allowing theorizing certain properties of seizures and their classifications according to their dynamics properties at onset and offset. We describe various modeling approaches spanning different scales, from single neurons to large-scale networks. We try to offer a large accessible overview through non-exhaustive examples of recent important works.
Keywords
epilepsy; computational model; seizures; single neurons level; networks; whole brain
Subject
Medicine and Pharmacology, Neuroscience and Neurology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
