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.
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References
Abeles, M.: Corticonics: Neural Circuits of the Cerebral Cortex, 1st edn. Cambridge University Press, Cambridge (1991)
Gewaltig, M.O., Diesmann, M.: Scholarpedia (2007), http://www.scholarpedia.org/article/NEST_Neural_Simulation_Tool
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)
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)
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Eppler, J.M., Plesser, H.E., Morrison, A., Diesmann, M., Gewaltig, MO. (2007). Multithreaded and Distributed Simulation of Large Biological Neuronal Networks. In: Cappello, F., Herault, T., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2007. Lecture Notes in Computer Science, vol 4757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75416-9_55
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DOI: https://doi.org/10.1007/978-3-540-75416-9_55
Publisher Name: Springer, Berlin, Heidelberg
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