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Paper ID: 1594

Building and running large scale computational neuroscience models
Jean-Alain,Grunchec Fred,Howell

Appeared in: Proceedings of the UK e-Science All Hands Conference 2005 website: http://www.allhands.org.uk/2005/
Page Numbers:
Publisher: Engineering and Physical Sciences Research Council
Year: 2005
ISBN/ISSN: 1-904425-53-4
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2005/proceedings/papers/330.pdf

Abstract: The ambitious aim of computational neuroscience is to gain a better understanding of the operation of real neurons and brain circuits. But real neurons are extremely complicated electronic and biochemical devices, whose dynamics we still have a poor understanding of, and they are connected in extremely large, complex and specific networks, whose connectivity and dynamics we have even less understanding of. We are working on three of the software problems associated with modeling brain networks; GUIs to develop clean, declarative XML based model specifications, containing all parameters of multi-level models of neurons, ion channels and networks; mechanisms for packaging simulation code into modules; and automated techniques for distributing large models across a cluster of workstations without the modeller having to become a parallel programming expert.

Keywords: e-Science, AHM 2005


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