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dc.contributor.authorFischer, Jason T.
dc.contributor.authorMikhael, John G.
dc.contributor.authorTenenbaum, Joshua B
dc.contributor.authorKanwisher, Nancy
dc.date.accessioned2017-11-14T15:53:48Z
dc.date.available2017-11-14T15:53:48Z
dc.date.issued2016-08
dc.date.submitted2016-05
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/112173
dc.description.abstractTo engage with the world - to understand the scene in front of us, plan actions, and predict what will happen next - we must have an intuitive grasp of the world's physical structure and dynamics. How do the objects in front of us rest on and support each other, how much force would be required to move them, and how will they behave when they fall, roll, or collide? Despite the centrality of physical inferences in daily life, little is known about the brain mechanisms recruited to interpret the physical structure of a scene and predict how physical events will unfold. Here, in a series of fMRI experiments, we identified a set of cortical regions that are selectively engaged when people watch and predict the unfolding of physical events - a "physics engine" in the brain. These brain regions are selective to physical inferences relative to nonphysical but otherwise highly similar scenes and tasks. However, these regions are not exclusively engaged in physical inferences per se or, indeed, even in scene understanding; they overlap with the domain-general "multiple demand" system, especially the parts of that system involved in action planning and tool use, pointing to a close relationship between the cognitive and neural mechanisms involved in parsing the physical content of a scene and preparing an appropriate action.en_US
dc.description.sponsorshipEunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (Grant F32-HD075427)en_US
dc.description.sponsorshipNational Eye Institute (Grant EY13455)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant CCF-1231216)en_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/PNAS.1610344113en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePNASen_US
dc.titleFunctional neuroanatomy of intuitive physical inferenceen_US
dc.typeArticleen_US
dc.identifier.citationFischer, Jason et al. “Functional Neuroanatomy of Intuitive Physical Inference.” Proceedings of the National Academy of Sciences 113, 34 (August 2016): E5072–E5081. © 2016 National Academy of Sciencesen_US
dc.contributor.departmentCenter for Brains, Minds, and Machinesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.mitauthorFischer, Jason T.
dc.contributor.mitauthorMikhael, John G.
dc.contributor.mitauthorTenenbaum, Joshua B
dc.contributor.mitauthorKanwisher, Nancy
dc.relation.journalProceedings of the National Academy of Sciencesen_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.updated2017-11-14T13:44:42Z
dspace.orderedauthorsFischer, Jason; Mikhael, John G.; Tenenbaum, Joshua B.; Kanwisher, Nancyen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-7228-2084
dc.identifier.orcidhttps://orcid.org/0000-0002-7622-716X
dc.identifier.orcidhttps://orcid.org/0000-0002-1925-2035
dc.identifier.orcidhttps://orcid.org/0000-0003-3853-7885
mit.licensePUBLISHER_POLICYen_US


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