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

Djurfeldt, Mikael; Lundqvist, Mikael; Johansson, Christopher; Rehn, Martin; Ekeberg, Örjan; Lansner, Anders

doi:10.1147/rd.521.0031

Cited by 84 publications

(61 citation statements)

References 40 publications

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“…In this case, ϳ10,000 such neurons have been simulated with altogether ϳ500,000 synapses that approach the numbers found in the biological systems . Very recently, with the same software, a neocortical simulation of 22 million neurons in layer 2/3 and 11 billion synapses has been performed (Djurfeldt et al, 2007) on the IBM Blue gene supercomputer. This approaches the number found in these layers of the mouse neocortex.…”

Section: Measuring the Computational Logic Of Network In Motionmentioning

confidence: 99%

Neurotech for Neuroscience: Unifying Concepts, Organizing Principles, and Emerging Tools

Silver¹,

Boahen²,

Grillner³

et al. 2007

J. Neurosci.

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The ability to tackle analysis of the brain at multiple levels simultaneously is emerging from rapid methodological developments. The classical research strategies of "measure," "model," and "make" are being applied to the exploration of nervous system function. These include novel conceptual and theoretical approaches, creative use of mathematical modeling, and attempts to build brain-like devices and systems, as well as other developments including instrumentation and statistical modeling (not covered here). Increasingly, these efforts require teams of scientists from a variety of traditional scientific disciplines to work together. The potential of such efforts for understanding directed motor movement, emergence of cognitive function from neuronal activity, and development of neuromimetic computers are described by a team that includes individuals experienced in behavior and neuroscience, mathematics, and engineering. Funding agencies, including the National Science Foundation, explore the potential of these changing frontiers of research for developing research policies and long-term planning.

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Section: Measuring the Computational Logic Of Network In Motionmentioning

confidence: 99%

Neurotech for Neuroscience: Unifying Concepts, Organizing Principles, and Emerging Tools

Silver¹,

Boahen²,

Grillner³

et al. 2007

J. Neurosci.

View full text Add to dashboard Cite

show abstract

“…Researchers are beginning to explore large-scale models of biologically detailed networks (e.g., Djurfeldt et al, 2008). Relatively simple neuronal models now exist that model experimental data accurately, but which are much simpler than Hodgkin-Huxley type models (Brette & Gerstner, 2005).…”

Section: The Need For Interoperability Of Modelsmentioning

confidence: 99%

The state of MIIND

et al. 2008

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MIIND (Multiple Interacting Instantiations of Neural Dynamics) is a highly modular multi-level C++ framework, that aims to shorten the development time for models in Cognitive Neuroscience (CNS). It offers reusable code modules (libraries of classes and functions) aimed at solving problems that occur repeatedly in modelling, but tries not to impose a specific modelling philosophy or methodology. At the lowest level, it offers support for the implementation of sparse networks. For example, the library SparseImplementationLib supports sparse random networks

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“…During the last few years, new types of supercomputer have made it possible to create simulations of networks of millions of neurons, based on detailed experimental knowledge about the properties of each cell type and their ion channels, receptors and associated neurotransmitters (Markram, 2006;Djurfeldt et al, 2008). This has opened up novel ways of testing integrated brain function that were not possible previously.…”

Section: Introductionmentioning

confidence: 99%

Consensus Document on European Brain Research

Luca

Baker

Corradetti

et al. 2011

European Journal of Neuroscience

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Psychiatric and neurological diseases combined represent a considerable social and economic burden in Europe. A recent study conducted by the European Brain Council (EBC) quantified the 'cost and burden' of major brain diseases in Europe, amounting to €386bn per year. Considering that these costs will increase exponentially in the years to come due to ageing of the European population, it is necessary to act now in order to curb this increase and possibly reverse the trend. Thus, establishing a strong European platform supporting basic and clinical research in neuroscience is needed to confront the economic and social challenge posed by management of brain diseases in European countries. To setup a platform for discussion, EBC published in 2006 a Consensus Document on European Brain Research, describing needs and achievements of research in Europe and presenting proposals for future research programs. Since 2006, European research in neuroscience has advanced tremendously. The present document represents an update elaborated to reflect changes in research priorities and advances in brain research that have taken place since 2006. The same approach and format have been used here as in the previous version. Multinational and multidisciplinary teams have once again come together to express their views, not only on the current strengths in European research, but also on what needs to be done in priority, hoping that this update will inspire policy makers and stakeholders in directing funding for research in Europe.

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

Cited by 84 publications

References 40 publications

Neurotech for Neuroscience: Unifying Concepts, Organizing Principles, and Emerging Tools

Neurotech for Neuroscience: Unifying Concepts, Organizing Principles, and Emerging Tools

The state of MIIND

Consensus Document on European Brain Research

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