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International Work-Conference on Artificial Neural Networks

IWANN 2003: Computational Methods in Neural Modeling pp 46–53Cite as

Intermittent burst synchronization in neural networks

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2686))

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.

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Author information

Authors and Affiliations

  1. Centre for Nonlinear Dynamics in Physiology and Medicine, Department of Physiology, McGill University, 3655 Drummond Street, H3G lY6, Montreal, Quebec, Canada

    Christian Hauptmann

  2. Mathematical Institute, University of Cologne, Weyertal 86-90, 50931, Cologne, Germany

    Annette Gail

  3. Fraunhofer Institute for Autonomous intelligent Systems - AiS, Schloss Birlinghoven, 53754, Sankt Augustin, Germany

    Fotios Giannakopoulos

  4. Research Center Jülich, 52425, Jülich, Germany

    Christian Hauptmann

Authors
  1. Christian Hauptmann
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  2. Annette Gail
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  3. Fotios Giannakopoulos
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Editor information

Editors and Affiliations

  1. E.T.S. de Ingeniería Informática Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José Mira  & José R. Álvarez  & 

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© 2003 Springer-Verlag Berlin Heidelberg

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Hauptmann, C., Gail, A., Giannakopoulos, F. (2003). Intermittent burst synchronization in neural networks. In: Mira, J., Álvarez, J.R. (eds) Computational Methods in Neural Modeling. IWANN 2003. Lecture Notes in Computer Science, vol 2686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44868-3_7

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  • DOI: https://doi.org/10.1007/3-540-44868-3_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40210-7

  • Online ISBN: 978-3-540-44868-6

  • eBook Packages: Springer Book Archive

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