{"id":"https://openalex.org/W2153948857","doi":"https://doi.org/10.1109/ijcnn.2010.5596687","title":"Bayesian estimates from heterogeneous population codes","display_name":"Bayesian estimates from heterogeneous population codes","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2153948857","doi":"https://doi.org/10.1109/ijcnn.2010.5596687","mag":"2153948857"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049626477","display_name":"Brian J. Fischer","orcid":"https://orcid.org/0000-0001-5786-0544"},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Brian J Fischer","raw_affiliation_strings":["Group for Neural Theory, Department d'Etudes Cognitives, Ecole Normale Superieure, Paris, France"],"affiliations":[{"raw_affiliation_string":"Group for Neural Theory, Department d'Etudes Cognitives, Ecole Normale Superieure, Paris, France","institution_ids":["https://openalex.org/I29607241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049626477"],"corresponding_institution_ids":["https://openalex.org/I29607241"],"apc_list":null,"apc_paid":null,"fwci":1.1929,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76080477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9955999851226807,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.638785719871521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62349534034729},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.5897724032402039},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5627829432487488},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5574359893798828},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5263729691505432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49359428882598877},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45516857504844666},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.452747642993927},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4524775743484497},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.428711473941803},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.4280146360397339},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39170950651168823},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.339015930891037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29298296570777893},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.28501367568969727},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19115540385246277}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.638785719871521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62349534034729},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.5897724032402039},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5627829432487488},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5574359893798828},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5263729691505432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49359428882598877},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45516857504844666},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.452747642993927},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4524775743484497},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.428711473941803},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.4280146360397339},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39170950651168823},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.339015930891037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29298296570777893},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.28501367568969727},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19115540385246277},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W123974289","https://openalex.org/W1491481853","https://openalex.org/W1512746852","https://openalex.org/W1581848821","https://openalex.org/W1963026571","https://openalex.org/W1981578159","https://openalex.org/W1989141073","https://openalex.org/W1998181915","https://openalex.org/W2049115584","https://openalex.org/W2052036764","https://openalex.org/W2060755056","https://openalex.org/W2087212361","https://openalex.org/W2101213557","https://openalex.org/W2112063689","https://openalex.org/W2127806105","https://openalex.org/W2132003317","https://openalex.org/W2133610747","https://openalex.org/W2133877521","https://openalex.org/W2147372985","https://openalex.org/W2148596731","https://openalex.org/W2157154487","https://openalex.org/W2166092475","https://openalex.org/W6605055650","https://openalex.org/W6630758646","https://openalex.org/W6634794388","https://openalex.org/W6679966214"],"related_works":["https://openalex.org/W2343819364","https://openalex.org/W2133205540","https://openalex.org/W2046798682","https://openalex.org/W3095337202","https://openalex.org/W2793406240","https://openalex.org/W2355832472","https://openalex.org/W2367340672","https://openalex.org/W2059543766","https://openalex.org/W2167024267","https://openalex.org/W2164129707"],"abstract_inverted_index":{"There":[0],"is":[1,107],"growing":[2],"evidence":[3],"that":[4,47,59,67,71],"aspects":[5],"of":[6,23,40,55,88,116],"perception":[7],"and":[8,92],"behavior":[9],"can":[10,31,52],"be":[11],"described":[12],"as":[13,33,109],"Bayesian":[14,63,79,101],"inference.":[15],"Consequently,":[16],"the":[17,38,48,82,86,89,93,97,104,114,121],"ability":[18],"to":[19,76],"perform":[20],"Bayes-optimal":[21],"estimation":[22,102],"a":[24,28,34,41,68,73,78,110],"stimulus":[25,57,99],"encoded":[26,56],"in":[27,85,96,120],"neural":[29,42,69],"population":[30],"serve":[32],"principle":[35,111],"for":[36,112],"evaluating":[37],"optimality":[39],"representation.":[43],"Here":[44],"we":[45],"show":[46],"center-of-mass":[49],"(COM)":[50],"decoder":[51,75,106],"produce":[53],"estimates":[54],"parameters":[58],"are":[60],"consistent":[61],"with":[62],"estimates.":[64],"We":[65],"predict":[66],"system":[70],"uses":[72],"COM":[74,105],"implement":[77],"estimator":[80],"encodes":[81],"likelihood":[83],"function":[84],"shape":[87],"tuning":[90],"curves":[91],"prior":[94],"distribution":[95],"preferred":[98],"values.":[100],"using":[103],"suggested":[108],"explaining":[113],"representation":[115],"sound":[117],"source":[118],"direction":[119],"owl's":[122],"auditory":[123],"system.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
