To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery

The revolution in neuroscientific data acquisition is creating an analysis challenge. We propose leveraging cloud-computing technologies to enable large-scale neurodata storing, exploring, analyzing, and modeling. This utility will empower scientists globally to generate and test theories of brain f...

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Veröffentlicht in:Neuron (Cambridge, Mass.) Mass.), 2016-11, Vol.92 (3), p.622-627
Hauptverfasser: Vogelstein, Joshua T., Mensh, Brett, Häusser, Michael, Spruston, Nelson, Evans, Alan C., Kording, Konrad, Amunts, Katrin, Ebell, Christoph, Muller, Jeff, Telefont, Martin, Hill, Sean, Koushika, Sandhya P., Calì, Corrado, Valdés-Sosa, Pedro Antonio, Littlewood, Peter B., Koch, Christof, Saalfeld, Stephan, Kepecs, Adam, Peng, Hanchuan, Halchenko, Yaroslav O., Kiar, Gregory, Poo, Mu-Ming, Poline, Jean-Baptiste, Milham, Michael P., Schaffer, Alyssa Picchini, Gidron, Rafi, Okano, Hideyuki, Calhoun, Vince D., Chun, Miyoung, Kleissas, Dean M., Vogelstein, R. Jacob, Perlman, Eric, Burns, Randal, Huganir, Richard, Miller, Michael I.
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Sprache:eng
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Zusammenfassung:The revolution in neuroscientific data acquisition is creating an analysis challenge. We propose leveraging cloud-computing technologies to enable large-scale neurodata storing, exploring, analyzing, and modeling. This utility will empower scientists globally to generate and test theories of brain function and dysfunction. In response to the analysis challenge arising from the data revolution, Vogelstein et al. propose a strategy for leveraging cloud-computing technologies to enable large-scale neurodata storing, exploring, analyzing, and modeling.
ISSN:0896-6273
1097-4199
DOI:10.1016/j.neuron.2016.10.033