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dc.contributor.authorZuo, Fan
dc.contributor.authorPanda, Priyadarshini
dc.contributor.authorKotiuga, Michele
dc.contributor.authorMazzoli, Claudio
dc.contributor.authorZhou, Hua
dc.contributor.authorBarbour, Andi
dc.contributor.authorWilkins, Stuart
dc.contributor.authorNarayanan, Badri
dc.contributor.authorCherukara, Mathew
dc.contributor.authorZhang, Zhen
dc.contributor.authorSankaranarayanan, Subramanian K. R. S.
dc.contributor.authorRabe, Karin M.
dc.contributor.authorRoy, Kaushik
dc.contributor.authorRamanathan, Shriram
dc.contributor.authorLi, Jiarui
dc.contributor.authorKang, Mingu
dc.contributor.authorComin, Riccardo
dc.date.accessioned2018-04-12T18:09:41Z
dc.date.available2018-04-12T18:09:41Z
dc.date.issued2017-08
dc.date.submitted2017-03
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/1721.1/114676
dc.description.abstractA central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making. This behavior, known as habituation, is universal among all forms of life with a central nervous system, and is also observed in single-cell organisms that do not possess a brain. Here, we report the discovery of habituation-based plasticity utilizing a perovskite quantum system by dynamical modulation of electron localization. Microscopic mechanisms and pathways that enable this organismic collective charge-lattice interaction are elucidated by first-principles theory, synchrotron investigations, ab initio molecular dynamics simulations, and in situ environmental breathing studies. We implement a learning algorithm inspired by the conductance relaxation behavior of perovskites that naturally incorporates habituation, and demonstrate learning to forget: A key feature of animal and human brains. Incorporating this elementary skill in learning boosts the capability of neural computing in a sequential, dynamic environment.en_US
dc.description.sponsorshipUnited States. Army Research Office (Grant W911NF-16-1-0289)en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (Grant FA9550-16-1-0159)en_US
dc.description.sponsorshipUnited States. Army Research Office (Grant W911NF-16-1-0042)en_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/S41467-017-00248-6en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleHabituation based synaptic plasticity and organismic learning in a quantum perovskiteen_US
dc.typeArticleen_US
dc.identifier.citationZuo, Fan et al. “Habituation Based Synaptic Plasticity and Organismic Learning in a Quantum Perovskite.” Nature Communications 8, 1 (August 2017): 240 © 2017 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.mitauthorLi, Jiarui
dc.contributor.mitauthorKang, Mingu
dc.contributor.mitauthorComin, Riccardo
dc.relation.journalNature Communicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-04-09T22:06:12Z
dspace.orderedauthorsZuo, Fan; Panda, Priyadarshini; Kotiuga, Michele; Li, Jiarui; Kang, Mingu; Mazzoli, Claudio; Zhou, Hua; Barbour, Andi; Wilkins, Stuart; Narayanan, Badri; Cherukara, Mathew; Zhang, Zhen; Sankaranarayanan, Subramanian K. R. S.; Comin, Riccardo; Rabe, Karin M.; Roy, Kaushik; Ramanathan, Shriramen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1069-9973
mit.licensePUBLISHER_CCen_US


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