Bistable Firing Pattern in a Neural Network Model

Bistable Firing Pattern in a Neural Network Model

Excessively high, neural synchronization has been associated with epileptic seizures, one of the most common brain diseases worldwide. A better understanding of neural synchronization mechanisms can thus help control or even treat epilepsy. In this paper, we study neural synchronization in a random...

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Bibliographic Details
Main Authors: Paulo R. Protachevicz, Fernando S. Borges, Ewandson L. Lameu, Peng Ji, Kelly C. Iarosz, Alexandre H. Kihara, Ibere L. Caldas, Jose D. Szezech, Murilo S. Baptista, Elbert E. N. Macau, Chris G. Antonopoulos, Antonio M. Batista, Jürgen Kurths
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Computational Neuroscience
Subjects:
bistable regime
network
adaptive exponential integrate-and-fire neural model
neural dynamics
synchronization
epilepsy
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2019.00019/full

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https://www.frontiersin.org/article/10.3389/fncom.2019.00019/full

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