Multithreaded and Distributed Simulation of Large Biological Neuronal Networks

  • Jochen M. Eppler
  • Hans E. Plesser
  • Abigail Morrison
  • Markus Diesmann
  • Marc-Oliver Gewaltig
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4757)

Abstract

To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections [1]. These networks can be described as graphs of threshold elements that exchange point events.

References

  1. 1.
    Abeles, M.: Corticonics: Neural Circuits of the Cerebral Cortex, 1st edn. Cambridge University Press, Cambridge (1991)Google Scholar
  2. 2.
    Gewaltig, M.O., Diesmann, M.: Scholarpedia (2007), http://www.scholarpedia.org/article/NEST_Neural_Simulation_Tool
  3. 3.
    Morrison, A., Mehring, C., Geisel, T., Aertsen, A., Diesmann, M.: Advancing the boundaries of high connectivity network simulation with distributed computing. Neural Computation 17(8), 1776–1801 (2005)MATHCrossRefGoogle Scholar
  4. 4.
    Tam, A., Wang, C.: Efficient scheduling of complete exchange on clusters. In: 13th International Conference on Parallel and Distributed Computing Systems (PDCS 2000), Las Vegas (August (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Jochen M. Eppler
    • 1
    • 4
  • Hans E. Plesser
    • 2
  • Abigail Morrison
    • 3
  • Markus Diesmann
    • 3
    • 4
  • Marc-Oliver Gewaltig
    • 1
    • 4
  1. 1.Honda Research Institute, Offenbach/MainGermany
  2. 2.Dept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, PO Box 5003, 1432 ÅsNorway
  3. 3.Computational Neuroscience Group, RIKEN Brain Science Institute, Wako-shi, SaitamaJapan
  4. 4.Bernstein Center for Computational Neuroscience, Albert-Ludwigs-University, FreiburgGermany

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