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dc.contributor.authorCybulski, Thaddeus R.
dc.contributor.authorGlaser, Joshua I.
dc.contributor.authorZamft, Bradley M.
dc.contributor.authorKording, Konrad P.
dc.contributor.authorMarblestone, Adam Henry
dc.contributor.authorChurch, George M
dc.contributor.authorBoyden, Edward
dc.date.accessioned2015-02-11T17:10:47Z
dc.date.available2015-02-11T17:10:47Z
dc.date.issued2015-01
dc.date.submitted2014-02
dc.identifier.issn1662-5188
dc.identifier.urihttp://hdl.handle.net/1721.1/94329
dc.description.abstractTo record from a given neuron, a recording technology must be able to separate the activity of that neuron from the activity of its neighbors. Here, we develop a Fisher information based framework to determine the conditions under which this is feasible for a given technology. This framework combines measurable point spread functions with measurable noise distributions to produce theoretical bounds on the precision with which a recording technology can localize neural activities. If there is sufficient information to uniquely localize neural activities, then a technology will, from an information theoretic perspective, be able to record from these neurons. We (1) describe this framework, and (2) demonstrate its application in model experiments. This method generalizes to many recording devices that resolve objects in space and should be useful in the design of next-generation scalable neural recording systems.en_US
dc.description.sponsorshipHertz Foundationen_US
dc.description.sponsorshipUnited States. Office of Naval Researchen_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.). Centers of Excellence in Genomic Scienceen_US
dc.description.sponsorshipAllen Institute for Brain Scienceen_US
dc.description.sponsorshipAT&Ten_US
dc.description.sponsorshipGoogle (Firm)en_US
dc.description.sponsorshipInstitution of Engineering and Technology (A. F. Harvey Prize)en_US
dc.description.sponsorshipMcGovern Institute for Brain Research at MIT. Neurotechnology (MINT) Programen_US
dc.description.sponsorshipMcGovern Institute for Brain Research at MITen_US
dc.description.sponsorshipMassachusetts Institute of Technology. Media Laboratoryen_US
dc.description.sponsorshipMIT Media Lab Consortiumen_US
dc.description.sponsorshipNew York Stem Cell Foundation (Robertson Investigator Award)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.). Pioneer Award (1DP1NS087724)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.). Transformative Award (1R01MH103910)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.). Transformative Award (1R01GM104948)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (INSPIRE Award CBET 1344219)en_US
dc.description.sponsorshipPaul G. Allen Family Foundation. Distinguished Investigator in Neuroscience Awarden_US
dc.description.sponsorshipSkolkovo Institute of Science and Technologyen_US
dc.description.sponsorshipMassachusetts Institute of Technology. Synthetic Intelligence Laboratoryen_US
dc.language.isoen_US
dc.publisherFrontiers Research Foundationen_US
dc.relation.isversionofhttp://dx.doi.org/10.3389/fncom.2014.00172en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceFrontiers Research Foundationen_US
dc.titleSpatial information in large-scale neural recordingsen_US
dc.typeArticleen_US
dc.identifier.citationCybulski, Thaddeus R., Joshua I. Glaser, Adam H. Marblestone, Bradley M. Zamft, Edward S. Boyden, George M. Church, and Konrad P. Kording. “Spatial Information in Large-Scale Neural Recordings.” Frontiers in Computational Neuroscience 8 (January 21, 2015).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.mitauthorBoyden, Edward Stuarten_US
dc.contributor.mitauthorMarblestone, Adam Henryen_US
dc.contributor.mitauthorChurch, George M.en_US
dc.relation.journalFrontiers in Computational Neuroscienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsCybulski, Thaddeus R.; Glaser, Joshua I.; Marblestone, Adam H.; Zamft, Bradley M.; Boyden, Edward S.; Church, George M.; Kording, Konrad P.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0419-3351
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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