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J Neurosci Methods. 2012 Sep 15;210(1):110-8. doi: 10.1016/j.jneumeth.2012.03.001. Epub 2012 Mar 29.

Power-efficient simulation of detailed cortical microcircuits on SpiNNaker.

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  • 1School of Computer Science, The University of Manchester, Manchester, M13 9PL, UK. thomas.sharp@cs.man.ac.uk

Abstract

Computer simulation of neural matter is a promising methodology for understanding the function of the brain. Recent anatomical studies have mapped the intricate structure of cortex, and these data have been exploited in numerous simulations attempting to explain its function. However, the largest of these models run inconveniently slowly and require vast amounts of electrical power, which hinders useful experimentation. SpiNNaker is a novel computer architecture designed to address these problems using low-power microprocessors and custom communication hardware. We use four SpiNNaker chips (of a planned fifty thousand) to simulate, in real-time, a cortical circuit of ten thousand spiking neurons and four million synapses. In this simulation, the hardware consumes 100 nJ per neuron per millisecond and 43 nJ per postsynaptic potential, which is the smallest quantity reported for any digital computer. We argue that this approaches fast, power-feasible and scientifically useful simulations of large cortical areas.

Copyright © 2012 Elsevier B.V. All rights reserved.

PMID:
22465805
[PubMed - indexed for MEDLINE]
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