{"id":"https://openalex.org/W2103289252","doi":null,"title":"Demixing odors - fast inference in olfaction","display_name":"Demixing odors - fast inference in olfaction","publication_year":2013,"publication_date":"2013-12-05","ids":{"openalex":"https://openalex.org/W2103289252","mag":"2103289252"},"language":"en","primary_location":{"id":"pmh:oai:unige.ch:aou:unige:39692","doi":null,"is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:39692","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Neural Information Processing Systems 26 (NIPS 2013) (2013)\\n","raw_type":"info:eu-repo/semantics/bookPart"},"volume":null,"type":"book-chapter","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://archive-ouverte.unige.ch/unige:39692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038813361","display_name":"Agnieszka Grabska\u2010Barwi\u0144ska","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405268824","display_name":"Gatsby Computational Neuroscience Unit","ror":"https://ror.org/0269epf40","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I4405268824","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Agnieszka Grabska\u2010Barwi\u0144ska","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit, UCL#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, UCL#TAB#","institution_ids":["https://openalex.org/I4405268824","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070153805","display_name":"Jeffrey M. Beck","orcid":"https://orcid.org/0000-0002-1798-9797","observed_orcids":["https://orcid.org/0000-0002-1798-9797","https://orcid.org/0000-0002-8169-7537"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Beck","raw_affiliation_strings":["Duke University"],"raw_orcid":"https://orcid.org/0000-0002-1798-9797","affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039593921","display_name":"Alexandre Pouget","orcid":"https://orcid.org/0000-0003-3054-6365","observed_orcids":["https://orcid.org/0000-0003-3054-6365"]},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alexandre Pouget","raw_affiliation_strings":["University of Geneva;"],"raw_orcid":"https://orcid.org/0000-0003-3054-6365","affiliations":[{"raw_affiliation_string":"University of Geneva;","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025338734","display_name":"Peter E. Latham","orcid":"https://orcid.org/0000-0001-8713-9328","observed_orcids":["https://orcid.org/0000-0001-8713-9328"]},"institutions":[{"id":"https://openalex.org/I4405268824","display_name":"Gatsby Computational Neuroscience Unit","ror":"https://ror.org/0269epf40","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I4405268824","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter E. Latham","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit, UCL#TAB#"],"raw_orcid":"https://orcid.org/0000-0001-8713-9328","affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, UCL#TAB#","institution_ids":["https://openalex.org/I4405268824","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3195,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94362018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"1968","last_page":"1976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.6977999806404114,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.6977999806404114,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.07980000227689743,"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/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.04639999940991402,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/olfaction","display_name":"olfaction","score":0.9079999923706055},{"id":"https://openalex.org/keywords/olfactory-receptor-neurons","display_name":"olfactory sensory neurons","score":0.7990000247955322},{"id":"https://openalex.org/keywords/variational-bayesian-inference","display_name":"variational inference","score":0.8669999837875366},{"id":"https://openalex.org/keywords/sampling-based-inference","display_name":"sampling-based inference","score":0.753000020980835},{"id":"https://openalex.org/keywords/spike-and-slab-prior","display_name":"spike-and-slab prior","score":0.972000002861023},{"id":"https://openalex.org/keywords/neural-dynamics","display_name":"neural dynamics","score":0.8320000171661377},{"id":"https://openalex.org/keywords/neural-connectivity","display_name":"neuronal connectivity","score":0.5080000162124634}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.743331789970398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395453453063965},{"id":"https://openalex.org/C163214680","wikidata":"https://www.wikidata.org/wiki/Q1541064","display_name":"Olfaction","level":2,"score":0.6036096811294556},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5628936886787415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5095829963684082},{"id":"https://openalex.org/C201792869","wikidata":"https://www.wikidata.org/wiki/Q1054094","display_name":"Olfactory system","level":2,"score":0.47494199872016907},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4514563977718353},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.42490386962890625},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4164023995399475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38399630784988403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32268816232681274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15409833192825317},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11246466636657715},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06999212503433228},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:unige.ch:aou:unige:39692","doi":null,"is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:39692","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Neural Information Processing Systems 26 (NIPS 2013) (2013)\\n","raw_type":"info:eu-repo/semantics/bookPart"},{"id":"pmh:oai:unige.ch:unige:39692","doi":null,"is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:39692","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISBN: 978-1-62748-003-1","raw_type":"info:eu-repo/semantics/bookPart"},{"id":"mag:2103289252","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/4876-demixing-odors-fast-inference-in-olfaction.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":{"id":"pmh:oai:unige.ch:aou:unige:39692","doi":null,"is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:39692","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Neural Information Processing Systems 26 (NIPS 2013) (2013)\\n","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1243663029","https://openalex.org/W1967036516","https://openalex.org/W1976665194","https://openalex.org/W1994572841","https://openalex.org/W2018784290","https://openalex.org/W2019565108","https://openalex.org/W2049176073","https://openalex.org/W2050416021","https://openalex.org/W2074990437","https://openalex.org/W2077235857","https://openalex.org/W2077284522","https://openalex.org/W2078106987","https://openalex.org/W2085268149","https://openalex.org/W2118354656","https://openalex.org/W2133877521","https://openalex.org/W2138260451","https://openalex.org/W2147502381","https://openalex.org/W2148821453","https://openalex.org/W2157992638","https://openalex.org/W2165616177"],"related_works":["https://openalex.org/W2559752379","https://openalex.org/W6960041571","https://openalex.org/W2028462244","https://openalex.org/W2920040270","https://openalex.org/W4409156731","https://openalex.org/W6979070914","https://openalex.org/W358804674","https://openalex.org/W2035173035","https://openalex.org/W4415828873","https://openalex.org/W2579964086"],"abstract_inverted_index":{"The":[0],"olfactory":[1,162],"system":[2],"faces":[3],"a":[4,44,66,82],"difficult":[5],"inference":[6,33],"problem:":[7],"it":[8],"has":[9,74],"to":[10],"determine":[11],"what":[12],"odors":[13,72,90,109],"are":[14],"present":[15],"based":[16,60],"on":[17,49,61],"the":[18,40,50,57,78,96,117,120,157,161,166],"distributed":[19],"activation":[20],"of":[21,30,52],"its":[22],"receptor":[23],"neurons.":[24],"Here":[25],"we":[26,64,80,102],"derive":[27],"neural":[28,100,135,142],"implementations":[29],"two":[31,97,121,167],"approximate":[32],"algorithms":[34,98,122,168],"that":[35,104,152,174],"could":[36],"be":[37,147],"used":[38,76],"by":[39,160],"brain.":[41],"One":[42],"is":[43,59],"variational":[45],"algorithm":[46],"(which":[47],"builds":[48],"work":[51],"Beck.":[53],"et":[54],"al.,":[55],"2012),":[56],"other":[58],"sampling.":[62],"Importantly,":[63],"use":[65,81,169],"more":[67],"realistic":[68],"prior":[69],"distribution":[70],"over":[71],"than":[73,112],"been":[75],"in":[77,110],"past:":[79],"\u201cspike":[83],"and":[84,134,137],"slab\u201d":[85],"prior,":[86],"for":[87],"which":[88],"most":[89],"have":[91],"zero":[92],"concentration.":[93],"After":[94],"mapping":[95],"onto":[99],"dynamics,":[101],"find":[103],"both":[105],"can":[106],"infer":[107],"correct":[108],"less":[111],"100":[113],"ms.":[114],"Thus,":[115,144],"at":[116],"behavioral":[118],"level,":[119],"make":[123,129,138],"very":[124,170],"similar":[125],"predictions.":[126],"However,":[127],"they":[128,145],"different":[130,139,171],"assumptions":[131],"about":[132,141],"connectivity":[133],"computations,":[136],"predictions":[140],"activity.":[143],"should":[146],"distinguishable":[148],"experimentally.":[149],"If":[150],"so,":[151],"would":[153,175],"provide":[154,177],"insight":[155,178],"into":[156,179],"mechanisms":[158],"employed":[159],"system,":[163],"and,":[164],"because":[165],"coding":[172],"strategies,":[173],"also":[176],"how":[180],"networks":[181],"represent":[182],"probabilities.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
