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Brain-scale simulation of the neocortex on the IBM Blue Gene/L  supercomputer

Djurfeldt, Mikael, 1967- (författare)
KTH,Beräkningsbiologi, CB,Royal Institute of Technology, Computational Biology and Neurocomputing Group
Lundqvist, Mikael (författare)
KTH,Beräkningsbiologi, CB,Royal Institute of Technology, Computational Biology and Neurocomputing Group
Johansson, Christopher (författare)
KTH,Beräkningsbiologi, CB,Royal Institute of Technology, Computational Biology and Neurocomputing Group
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Rehn, Martin (författare)
KTH,Beräkningsbiologi, CB,Royal Institute of Technology, Computational Biology and Neurocomputing Group
Ekeberg, Örjan (författare)
KTH,Beräkningsbiologi, CB,Royal Institute of Technology, Computational Biology and Neurocomputing Group
Lansner, Anders (författare)
KTH,Beräkningsbiologi, CB,Royal Institute of Technology, Computational Biology and Neurocomputing Group
visa färre...
 (creator_code:org_t)
IBM, 2008
2008
Engelska.
Ingår i: IBM Journal of Research and Development. - : IBM. - 0018-8646 .- 2151-8556. ; 52:1-2, s. 31-41
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Biologically detailed large-scale models of the brain can now be simulated thanks to increasingly powerful massively parallel supercomputers. We present an overview, for the general technical reader, of a neuronal network model of layers II/III of the neocortex built with biophysical model neurons. These simulations, carried out on an IBM Blue Gene/Le supercomputer, comprise up to 22 million neurons and 11 billion synapses, which makes them the largest simulations of this type ever performed. Such model sizes correspond to the cortex of a small mammal. The SPLIT library, used for these simulations, runs on single-processor as well as massively parallel machines. Performance measurements show good scaling behavior on the Blue Gene/L supercomputer up to 8,192 processors. Several key phenomena seen in the living brain appear as emergent phenomena in the simulations. We discuss the role of this kind of model in neuroscience and note that full-scale models may be necessary to preserve natural dynamics. We also discuss the need for software tools for the specification of models as well as for analysis and visualization of output data. Combining models that range from abstract connectionist type to biophysically detailed will help us unravel the basic principles underlying neocortical function.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

Nyckelord

Neurobiology
Neurobiologi

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