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Modeling Seizures: From Single Neurons to Networks

A peer-reviewed article of this preprint also exists.

Submitted:

19 February 2021

Posted:

22 February 2021

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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.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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