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

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• 作者：Kristofer E. Bouchard¹ ; ² ; ³ ; ^{kebouchard@lbl.gov" class="auth_mail" title="E-mail the corresponding author} ; James B. Aimone⁴ ; Miyoung Chun⁵ ; Thomas Dean⁶ ; Michael Denker⁷ ; Markus Diesmann⁷ ; ⁸ ; ⁹ ; David D. Donofrio¹⁰ ; Loren M. Frank² ; ¹¹ ; ¹² ; Narayanan Kasthuri¹³ ; ¹⁴ ; Chirstof Koch¹⁵ ; Oliver Ruebel¹⁰ ; Horst D. Simon¹⁶ ; Friedrich T. Sommer¹⁷ ; Prabhat¹⁸ ; ^{prabhat@lbl.gov" class="auth_mail" title="E-mail the corresponding author}
• 刊名：Neuron
• 出版年：2016
• 出版时间：2 November 2016
• 年：2016
• 卷：92
• 期：3
• 页码：628-631
• 全文大小：282 K

文摘

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.