High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination

Affiliations

¹ Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Kavli Institute for Fundamental Neuroscience, UC San Francisco, San Francisco, CA 94158, USA; Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA 94720, USA. Electronic address: kebouchard@lbl.gov.
² Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185, USA.
³ The Kavli Foundation, Oxnard, CA 93030, USA.
⁴ Google Research, Mountain View, CA 94043, USA.
⁵ Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), JARA BRAIN Institute, Jülich Research Centre, 52425 Jülich, Germany.
⁶ Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), JARA BRAIN Institute, Jülich Research Centre, 52425 Jülich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52062 Aachen, Germany; Department of Physics, RWTH Aachen University, 52062 Aachen, Germany.
⁷ Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
⁸ Kavli Institute for Fundamental Neuroscience, UC San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, UC San Francisco, San Francisco, CA 94158, USA; Department of Physiology, UC San Francisco, San Francisco, CA 94158, USA.
⁹ Nanoscience Division, Argonne National Laboratory, Lemont, IL 60439, USA; Department of Neurobiology, University of Chicago, Chicago, IL 60637, USA.
¹⁰ Allen Institute for Brain Science, Seattle, WA 98109, USA.
¹¹ Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
¹² Redwood Center for Theoretical Neuroscience, UC Berkeley, Berkeley, CA 94720, USA.
¹³ NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. Electronic address: prabhat@lbl.gov.

PMID: 27810006
DOI: 10.1016/j.neuron.2016.10.035

Free article

High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination

Kristofer E Bouchard et al. Neuron. 2016.

Free article

. 2016 Nov 2;92(3):628-631.

doi: 10.1016/j.neuron.2016.10.035.

Authors

Affiliations

¹ Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Kavli Institute for Fundamental Neuroscience, UC San Francisco, San Francisco, CA 94158, USA; Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA 94720, USA. Electronic address: kebouchard@lbl.gov.
² Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185, USA.
³ The Kavli Foundation, Oxnard, CA 93030, USA.
⁴ Google Research, Mountain View, CA 94043, USA.
⁵ Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), JARA BRAIN Institute, Jülich Research Centre, 52425 Jülich, Germany.
⁶ Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), JARA BRAIN Institute, Jülich Research Centre, 52425 Jülich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52062 Aachen, Germany; Department of Physics, RWTH Aachen University, 52062 Aachen, Germany.
⁷ Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
⁸ Kavli Institute for Fundamental Neuroscience, UC San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, UC San Francisco, San Francisco, CA 94158, USA; Department of Physiology, UC San Francisco, San Francisco, CA 94158, USA.
⁹ Nanoscience Division, Argonne National Laboratory, Lemont, IL 60439, USA; Department of Neurobiology, University of Chicago, Chicago, IL 60637, USA.
¹⁰ Allen Institute for Brain Science, Seattle, WA 98109, USA.
¹¹ Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
¹² Redwood Center for Theoretical Neuroscience, UC Berkeley, Berkeley, CA 94720, USA.
¹³ NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. Electronic address: prabhat@lbl.gov.

PMID: 27810006
DOI: 10.1016/j.neuron.2016.10.035

Abstract

Opportunities offered by new neuro-technologies are threatened by lack of coherent plans to analyze, manage, and understand the data. High-performance computing will allow exploratory analysis of massive datasets stored in standardized formats, hosted in open repositories, and integrated with simulations.

Published by Elsevier Inc.

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High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination

Affiliations

High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination

Authors

Affiliations

Abstract

MeSH terms

LinkOut - more resources

Full Text Sources

Other Literature Sources