Intermittent burst synchronization in neural networks

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Abstract

The dynamics of a network built out of excitatory and inhibitory neurons is investigated in terms of burst synchronization. The inherent activity of the neurons is controlled by a set of three delay differential equations. We take into account time delays due to propagational and synaptical delays, nonlinearities due to the synaptic transmission process and the spike generation. Intermittent synchronized network activity is observed. A mechanism for this self organized activity is proposed and bases on the occurrence and propagation of bursting activity. The results are discussed in the context of epilepsy research. © Springer-Verlag Berlin Heidelberg 2003.

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Hauptmann, C., Gail, A., & Giannakopoulos, F. (2003). Intermittent burst synchronization in neural networks. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2686, 46–53. https://doi.org/10.1007/3-540-44868-3_7

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