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Hans E. Plesser et al. Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers incollection To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs of threshold elements that exchange point events over their connections.

Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers

Hans E. Plesser et al.

In Anne-Marie Kermarrec, Luc Bougé, and Thierry Priol (eds.) Euro-Par 2007 Parallel Processing, Berlin, 2007, pp. 672–681

Abstract

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

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