To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery
- PMID: 27810005
- PMCID: PMC5860644
- DOI: 10.1016/j.neuron.2016.10.033
To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery
Abstract
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.
Copyright © 2016 Elsevier Inc. All rights reserved.
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References
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- Amunts K, et al. BigBrain: An Ultrahigh-Resolution 3D Human Brain Model. Science. 2013;340(6139):1472–1475. Available at: http://www.sciencemag.org/content/340/6139/1472.abstract. - PubMed
-
- Anon, Neuroinformatics Collaboratory. [Accessed October 13, 2016];Neuroinformatics Collaboratory. Available at: http://www.neuroinformatics-collaboratory.org/
-
- Anon. The future of computing. [Accessed October 12, 2016];The Economist. 2016 Available at: http://www.economist.com/news/leaders/21694528-era-predictable-improveme....
-
- Ascoli GA, Donohue DE, Halavi M. NeuroMorpho.Org: A Central Resource for Neuronal Morphologies. The Journal of neuroscience: the official journal of the Society for Neuroscience. 2007;27(35):9247–9251. Available at: http://www.jneurosci.org/content/27/35/9247.short. - PMC - PubMed
-
- Burns R, et al. The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience. Scientific and Statistical Database Management. 2013 Available at: http://arxiv.org/abs/1306.3543. - PMC - PubMed
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