Simulation infrastructure for modeling large scale neural systems

  • Authors:
  • Charles C. Peck;James Kozloski;A. Ravishankar Rao;Guillermo A. Cecchi

  • Affiliations:
  • IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • ICCS'03 Proceedings of the 2003 international conference on Computational science
  • Year:
  • 2003

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Abstract

This paper describes the Large-scale Edge Node Simulator, a problem solving environment for the implementation of large scale models of neural systems. This work was motivated by the absence of adequate modeling tools for this domain. The object-oriented Large-scale Edge Node Simulator was developed after a rigorous requirements analysis for this class of simulations. An example use of this environment for a complex neural simulation of cortical plasticity is presented. It is shown that the Large-scale Edge Node Simulator is capable of meeting the challenges of simulating large scale models of neural systems.