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2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (2005)
Monterey, Californi
June 1, 2005 to June 3, 2005
ISSN: 1087-4097
ISBN: 0-7695-2383-8
pp: 16-25
Collin J. Lobb , Georgia Institute of Technology
Zenas Chao , Georgia Institute of Technology
Richard M. Fujimoto , Georgia Institute of Technology
Steve M. Potter , Georgia Institute of Technology
ABSTRACT
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of parallel discrete event simulation techniques to networks of a complex model called the Hodgkin-Huxley neuron[1]. We describe the conversion of this model into an event-driven simulation, a technique that offers the potential of much greater performance in parallel and distributed simulations compared to time-stepped techniques. We report results of an initial set of experiments conducted to determine the feasibility of this parallel event-driven Hodgkin-Huxley model and analyze its viability for large-scale neural simulations.
INDEX TERMS
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CITATION
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, Steve M. Potter, "Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model", 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, vol. 00, no. , pp. 16-25, 2005, doi:10.1109/PADS.2005.18
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