title: Putting big data to good use in neuroscience.
abstract: Big data has transformed fields such as physics and genomics. Neuroscience is set to collect its own big data sets, but to exploit its full potential, there need to be ways to standardize, integrate and synthesize diverse types of data from different levels of analysis and across species. This will require a cultural shift in sharing data across labs, as well as to a central role for theorists in neuroscience research.
authors.affiliation: 1] Howard Hughes Medical Institute, the Salk Institute for Biological Studies, La Jolla, California, USA. [2] Division of Biological Sciences, University of California at San Diego, La Jolla, California, USA.
authors.forename: Terrence J
authors.initials: TJ
authors.lastname: Sejnowski
authors.affiliation: 1] Howard Hughes Medical Institute, the Salk Institute for Biological Studies, La Jolla, California, USA. [2] Department of Philosophy, University of California at San Diego, La Jolla, California, USA.
authors.forename: Patricia S
authors.initials: PS
authors.lastname: Churchland
authors.affiliation: Center for Neural Science, New York University, New York, New York, USA.
authors.forename: J Anthony
authors.initials: JA
authors.lastname: Movshon
mesh_terms: D000818:Animals; D016208:Databases, Factual; D023281:Genomics; D006801:Humans; D033181:Information Dissemination; D016247:Information Storage and Retrieval; D009488:Neurosciences / Q000379:methods*