{"id":"https://openalex.org/W2285601016","doi":null,"title":"Bayesian perceptual inference in linear Gaussian models","display_name":"Bayesian perceptual inference in linear Gaussian models","publication_year":2010,"publication_date":"2010-09-21","ids":{"openalex":"https://openalex.org/W2285601016","mag":"2285601016"},"language":"en","primary_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/58669","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/58669","pdf_url":"http://hdl.handle.net/1721.1/58669","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/58669","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059792149","display_name":"Peter Battaglia","orcid":"https://orcid.org/0000-0003-3622-7111","observed_orcids":["https://orcid.org/0000-0003-3622-7111"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peter Battaglia","raw_affiliation_strings":["Massachusetts Institute Of Technology#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-3622-7111","affiliations":[{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059792149"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.1742,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5630528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.8988999724388123,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.8988999724388123,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.03350000083446503,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12032","display_name":"Multisensory perception and integration","score":0.010900000110268593,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-observer-model","display_name":"Bayesian observer model","score":0.859000027179718},{"id":"https://openalex.org/keywords/perceptual-inference","display_name":"perceptual inference","score":0.6320000290870667},{"id":"https://openalex.org/keywords/posterior-distribution","display_name":"posterior distribution","score":0.9459999799728394}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7436047792434692},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6778196096420288},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6216312646865845},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6157031655311584},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5447878837585449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5386291742324829},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5265938639640808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171558260917664},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.47190195322036743},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4690777659416199},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4456240236759186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42550918459892273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33174800872802734},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2213095724582672},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:dspace.mit.edu:1721.1/58669","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/58669","pdf_url":"http://hdl.handle.net/1721.1/58669","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.700.9976","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.700.9976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.mit.edu/%7Epbatt/www/publications/Batt10MITtech.pdf","raw_type":"text"},{"id":"mag:2285601016","doi":null,"is_oa":false,"landing_page_url":"http://dspace.mit.edu/bitstream/handle/1721.1/58669/MIT-CSAIL-TR-2010-046.pdf?sequence=1","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/58669","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/58669","pdf_url":"http://hdl.handle.net/1721.1/58669","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2285601016.pdf","grobid_xml":"https://content.openalex.org/works/W2285601016.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W128740895","https://openalex.org/W1497935377","https://openalex.org/W1524335203","https://openalex.org/W1545344975","https://openalex.org/W1969090956","https://openalex.org/W1999018741","https://openalex.org/W2037554451","https://openalex.org/W2050284431","https://openalex.org/W2050878336","https://openalex.org/W2063440895","https://openalex.org/W2065435378","https://openalex.org/W2070145501","https://openalex.org/W2107776686","https://openalex.org/W2108306055","https://openalex.org/W2113455609","https://openalex.org/W2139882711","https://openalex.org/W2156707826","https://openalex.org/W2157201325","https://openalex.org/W2158527951","https://openalex.org/W2285644164","https://openalex.org/W2983857640"],"related_works":["https://openalex.org/W2790690105","https://openalex.org/W2089023776","https://openalex.org/W7100317622","https://openalex.org/W135452875","https://openalex.org/W7010508413","https://openalex.org/W2206217378","https://openalex.org/W7032984774","https://openalex.org/W1567628904","https://openalex.org/W2219573511","https://openalex.org/W2098378005"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,18,67],"this":[3],"paper":[4,36],"is":[5],"to":[6,23],"provide":[7],"perceptual":[8,20,26,43,57],"scientists":[9],"with":[10,45],"a":[11,16,38],"quantitative":[12],"framework":[13],"for":[14,42],"modeling":[15],"variety":[17],"common":[19,32],"behaviors,":[21],"and":[22],"unify":[24],"various":[25],"in-ference":[27],"tasks":[28],"by":[29,59],"exposing":[30],"their":[31,61,72],"computational":[33],"underpinnings.":[34],"This":[35],"derives":[37],"model":[39],"Bayesian":[40],"observer":[41],"contexts":[44],"linear":[46],"Gaussian":[47],"generative":[48],"processes.":[49],"I":[50],"demonstrate":[51],"the":[52,68],"relationship":[53],"between":[54],"four":[55],"fundamental":[56],"situations":[58],"expressing":[60],"corresponding":[62],"posterior":[63],"distributions":[64],"as":[65],"consequences":[66],"model's":[69],"predictions":[70],"under":[71],"respective":[73],"assumptions.":[74],"1":[75]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}