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Building a Large-Scale Computational Model of a Cortical Neuronal Network

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Lectures in Supercomputational Neurosciences

Part of the book series: Understanding Complex Systems ((UCS))

Summary

We introduce the general framework of the large-scale neuronal model used in the 5th Helmholtz Summer School — Complex Brain Networks. The main aim is to build a universal large-scale model of a cortical neuronal network, structured as a network of networks, which is flexible enough to implement different kinds of topology and neuronal models and which exhibits behavior in various dynamical regimes. First, we describe important biological aspects of brain topology and use them in the construction of a large-scale cortical network. Second, the general dynamical model is presented together with explanations of the major dynamical properties of neurons. Finally, we discuss the implementation of the model into parallel code and its possible modifications and improvements.

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Author information

Authors and Affiliations

  1. Institute of Physics, University of Potsdam, Germany

    Lucia Zemanová, Changsong Zhou & Jürgen Kurths

Authors
  1. Lucia Zemanová
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  2. Changsong Zhou
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  3. Jürgen Kurths
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Editor information

Editors and Affiliations

  1. School of Psychology and Clinical Language Sciences, University of Reading, PO Box 217, Whiteknights, Reading RG6 6AH, United Kingdom

    Peter beim Graben (Dr.) (Dr.)

  2. Department of Physics, Hong Kong Baptist University, 224 Waterloo Road, Kowloon Tong, Hong Kong, China

    Changsong Zhou (Prof.Dr.) (Prof.Dr.)

  3. School of Engineering and Physical Sciences, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom

    Marco Thiel (Dr.) (Dr.)

  4. Universität Potsdam Institut für Physik LS Theoretische Physik, Am Neuen Palais 10, 14469 Potsdam, Germany

    Jürgen Kurths (Prof.Dr.) (Prof.Dr.)

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© 2007 Springer-Verlag Berlin Heidelberg

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Zemanová, L., Zhou, C., Kurths, J. (2007). Building a Large-Scale Computational Model of a Cortical Neuronal Network. In: Graben, P.b., Zhou, C., Thiel, M., Kurths, J. (eds) Lectures in Supercomputational Neurosciences. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73159-7_9

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