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2003
Conference Paper
Titel

Intermittent burst synchronization in neural networks

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.
Author(s)
Hauptmann, C.
Gail, A.
Giannakopoulos, F.
Hauptwerk
7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003. Proceedings. Vol.1: Computational methods in neural modeling
Konferenz
International Work Conference on Artificial and Natural Neural Networks (IWANN)
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DOI
10.1007/3-540-44868-3_7
Language
English
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