{"id":"https://openalex.org/W4383752910","doi":"https://doi.org/10.1073/pnas.2117484120","title":"Normative and mechanistic model of an adaptive circuit for efficient encoding and feature extraction","display_name":"Normative and mechanistic model of an adaptive circuit for efficient encoding and feature extraction","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4383752910","doi":"https://doi.org/10.1073/pnas.2117484120","pmid":"https://pubmed.ncbi.nlm.nih.gov/37428907","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/10629579"},"language":"en","primary_location":{"id":"doi:10.1073/pnas.2117484120","doi":"https://doi.org/10.1073/pnas.2117484120","is_oa":true,"landing_page_url":"https://doi.org/10.1073/pnas.2117484120","pdf_url":null,"source":{"id":"https://openalex.org/S125754415","display_name":"Proceedings of the National Academy of Sciences","issn_l":"0027-8424","issn":["0027-8424","1091-6490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","erih-plus","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320052","host_organization_name":"National Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310320052"],"host_organization_lineage_names":["National Academy of Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1073/pnas.2117484120","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018876700","display_name":"Nikolai M. Chapochnikov","orcid":"https://orcid.org/0000-0001-8491-0017","observed_orcids":["https://orcid.org/0000-0001-8491-0017"]},"institutions":[{"id":"https://openalex.org/I4387153999","display_name":"Flatiron Institute","ror":"https://ror.org/00sekdz59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210107338","https://openalex.org/I4387153999"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nikolai M. Chapochnikov","raw_affiliation_strings":["Center for Computation Neuroscience, Flatiron Institute, New York, NY 10010","Department of Neurology, New York University School of Medicine, New York, NY 10016"],"raw_orcid":"https://orcid.org/0000-0001-8491-0017","affiliations":[{"raw_affiliation_string":"Center for Computation Neuroscience, Flatiron Institute, New York, NY 10010","institution_ids":["https://openalex.org/I4387153999"]},{"raw_affiliation_string":"Department of Neurology, New York University School of Medicine, New York, NY 10016","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023195984","display_name":"Cengiz Pehlevan","orcid":"https://orcid.org/0000-0001-9767-6063","observed_orcids":["https://orcid.org/0000-0001-9767-6063"]},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cengiz Pehlevan","raw_affiliation_strings":["Center for Brain Science, Harvard University, Cambridge, MA 02138","John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138","Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA 02138"],"raw_orcid":"https://orcid.org/0000-0001-9767-6063","affiliations":[{"raw_affiliation_string":"Center for Brain Science, Harvard University, Cambridge, MA 02138","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA 02138","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110051540","display_name":"Dmitri B. Chklovskii","orcid":"https://orcid.org/0000-0002-4781-2546","observed_orcids":["https://orcid.org/0000-0002-4781-2546"]},"institutions":[{"id":"https://openalex.org/I4387153999","display_name":"Flatiron Institute","ror":"https://ror.org/00sekdz59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210107338","https://openalex.org/I4387153999"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitri B. Chklovskii","raw_affiliation_strings":["Center for Computation Neuroscience, Flatiron Institute, New York, NY 10010","Neuroscience Institute, New York University School of Medicine, New York, NY 10016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computation Neuroscience, Flatiron Institute, New York, NY 10010","institution_ids":["https://openalex.org/I4387153999"]},{"raw_affiliation_string":"Neuroscience Institute, New York University School of Medicine, New York, NY 10016","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018876700"],"corresponding_institution_ids":["https://openalex.org/I4387153999","https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":1.2096,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76014548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"120","issue":"29","first_page":"e2117484120","last_page":"e2117484120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9121000170707703,"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"}},"topics":[{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9121000170707703,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.05290000140666962,"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/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.012500000186264515,"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/olfactory-receptor-neurons","display_name":"olfactory sensory neurons","score":0.6940000057220459},{"id":"https://openalex.org/keywords/local-neurons","display_name":"local neurons","score":0.7919999957084656},{"id":"https://openalex.org/keywords/inhibitory-feedback","display_name":"inhibitory feedback","score":0.7310000061988831},{"id":"https://openalex.org/keywords/similarity-matching","display_name":"similarity matching","score":0.7039999961853027},{"id":"https://openalex.org/keywords/normative-modeling","display_name":"normative modeling","score":0.6940000057220459},{"id":"https://openalex.org/keywords/synaptic-weights","display_name":"synaptic weights","score":0.7670000195503235},{"id":"https://openalex.org/keywords/hebbian-plasticity","display_name":"Hebbian plasticity","score":0.7870000004768372},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.953000009059906},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.9089999794960022},{"id":"https://openalex.org/keywords/stimulus-representation","display_name":"stimulus representation","score":0.3400000035762787},{"id":"https://openalex.org/keywords/larvae","display_name":"larva","score":0.4169999957084656},{"id":"https://openalex.org/keywords/connectome","display_name":"connectome","score":0.49300000071525574}],"concepts":[{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.6257889866828918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993951559066772},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.46682897210121155},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.4668145179748535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.456175297498703},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.44971099495887756},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.4342506527900696},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4118924140930176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4080274999141693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4034706950187683},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3854946196079254},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.37170061469078064},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.271240234375},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15945011377334595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004330","descriptor_name":"Drosophila","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007814","descriptor_name":"Larva","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012903","descriptor_name":"Smell","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D018034","descriptor_name":"Olfactory Receptor Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1073/pnas.2117484120","doi":"https://doi.org/10.1073/pnas.2117484120","is_oa":true,"landing_page_url":"https://doi.org/10.1073/pnas.2117484120","pdf_url":null,"source":{"id":"https://openalex.org/S125754415","display_name":"Proceedings of the National Academy of Sciences","issn_l":"0027-8424","issn":["0027-8424","1091-6490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","erih-plus","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320052","host_organization_name":"National Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310320052"],"host_organization_lineage_names":["National Academy of Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences","raw_type":"journal-article"},{"id":"doi:10.1101/2021.09.24.461723","doi":"https://doi.org/10.1101/2021.09.24.461723","is_oa":true,"landing_page_url":"https://doi.org/10.1101/2021.09.24.461723","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2021/09/25/2021.09.24.461723.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},{"id":"pmh:oai:pubmedcentral.nih.gov:10629579","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10629579","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10629579/pdf/pnas.202117484.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proc Natl Acad Sci U S A","raw_type":"Text"},{"id":"pmid:37428907","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37428907","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences of the United States of America","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1073/pnas.2117484120","doi":"https://doi.org/10.1073/pnas.2117484120","is_oa":true,"landing_page_url":"https://doi.org/10.1073/pnas.2117484120","pdf_url":null,"source":{"id":"https://openalex.org/S125754415","display_name":"Proceedings of the National Academy of Sciences","issn_l":"0027-8424","issn":["0027-8424","1091-6490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","erih-plus","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320052","host_organization_name":"National Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310320052"],"host_organization_lineage_names":["National Academy of Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3521671702","display_name":"A Theory of Learned Representations in Artificial and Natural Neural Networks","funder_award_id":"2134157","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"},{"id":"https://openalex.org/F4320319356","display_name":"Flatiron Health","ror":"https://ror.org/0508h6p74"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W81409850","https://openalex.org/W902799380","https://openalex.org/W1493428979","https://openalex.org/W1504886279","https://openalex.org/W1595965005","https://openalex.org/W1630197489","https://openalex.org/W1835067015","https://openalex.org/W1837830136","https://openalex.org/W1967036516","https://openalex.org/W1971653450","https://openalex.org/W1988013646","https://openalex.org/W1989621138","https://openalex.org/W2000377855","https://openalex.org/W2004573605","https://openalex.org/W2005811042","https://openalex.org/W2007322879","https://openalex.org/W2009156797","https://openalex.org/W2010736791","https://openalex.org/W2025539936","https://openalex.org/W2028281435","https://openalex.org/W2030318346","https://openalex.org/W2037395945","https://openalex.org/W2038506683","https://openalex.org/W2042925217","https://openalex.org/W2055792811","https://openalex.org/W2058483899","https://openalex.org/W2081986958","https://openalex.org/W2093514926","https://openalex.org/W2105464873","https://openalex.org/W2110065044","https://openalex.org/W2122925692","https://openalex.org/W2127869243","https://openalex.org/W2137234026","https://openalex.org/W2138260451","https://openalex.org/W2146158975","https://openalex.org/W2151035455","https://openalex.org/W2151351982","https://openalex.org/W2158976454","https://openalex.org/W2159271282","https://openalex.org/W2161300180","https://openalex.org/W2170319235","https://openalex.org/W2170359674","https://openalex.org/W2188333210","https://openalex.org/W2203645773","https://openalex.org/W2263039277","https://openalex.org/W2263369639","https://openalex.org/W2274405424","https://openalex.org/W2336477404","https://openalex.org/W2523611069","https://openalex.org/W2571305441","https://openalex.org/W2619970632","https://openalex.org/W2735683573","https://openalex.org/W2751847892","https://openalex.org/W2805950715","https://openalex.org/W2822028304","https://openalex.org/W2908638243","https://openalex.org/W2911638064","https://openalex.org/W2949152168","https://openalex.org/W2950291885","https://openalex.org/W2970175662","https://openalex.org/W3000124408","https://openalex.org/W3016007634","https://openalex.org/W3102230426","https://openalex.org/W3119894522","https://openalex.org/W3204048523","https://openalex.org/W4226069364","https://openalex.org/W4233403024","https://openalex.org/W4383752910"],"related_works":["https://openalex.org/W3208148111","https://openalex.org/W2138260451","https://openalex.org/W3158911910","https://openalex.org/W7214606015","https://openalex.org/W2571305441","https://openalex.org/W7219864133","https://openalex.org/W7027919594","https://openalex.org/W7030327111","https://openalex.org/W142482299","https://openalex.org/W7101405140"],"abstract_inverted_index":{"Abstract":[0],"One":[1],"major":[2],"question":[3],"in":[4,22,82,91,138,153,163],"neuroscience":[5],"is":[6],"how":[7,295],"to":[8,11,133,135,171,214,253,301],"relate":[9],"connectomes":[10],"neural":[12,208,240,248,291],"activity,":[13,174],"circuit":[14,26,132,184,241,279,297],"function,":[15,175],"and":[16,50,85,105,111,128,150,158,176,178,182,189,194,221,271,280,307,309],"learning.":[17],"We":[18,47,235,293],"offer":[19],"an":[20,139],"answer":[21],"the":[23,28,70,75,83,99,112,131,160,211,215,218,237,243,275,278,282,288,296],"peripheral":[24,238],"olfactory":[25,33,239],"of":[27,32,69,114,207,217,222,242,260,277],"Drosophila":[29,244],"larva,":[30,245],"composed":[31],"receptor":[34],"neurons":[35,45],"(ORNs)":[36],"connected":[37],"through":[38,125],"feedback":[39],"loops":[40],"with":[41,205],"interconnected":[42],"inhibitory":[43],"local":[44],"(LNs).":[46],"combine":[48,172],"structural":[49],"activity":[51,93],"data":[52],"and,":[53],"using":[54],"a":[55,64,168,180,269],"holistic":[56],"normative":[57,272],"framework":[58,170,273],"based":[59,286],"on":[60,287],"similarity-matching,":[61],"we":[62,143,267],"propose":[63,144,268],"biologically":[65],"plausible":[66],"mechanistic":[67,270],"model":[68,73,97],"circuit.":[71],"Our":[72,165],"predicts":[74],"ORN":[76,92,102],"\u2192":[77,103],"LN":[78,104,106,108,116],"synaptic":[79,109,120,284],"weights":[80],"found":[81],"connectome":[84],"demonstrate":[86],"that":[87,186,246],"they":[88],"reflect":[89],"correlations":[90,149],"patterns.":[94],"Additionally,":[95],"our":[96],"explains":[98],"relation":[100],"between":[101],"\u2013":[107],"weight":[110],"arising":[113],"different":[115,136,302],"types.":[117],"This":[118],"global":[119],"organization":[121,285],"can":[122,187,298],"autonomously":[123,299],"arise":[124],"Hebbian":[126],"plasticity,":[127],"thus":[129,155],"allows":[130],"adapt":[134,300],"environments":[137],"unsupervised":[140],"manner.":[141],"Functionally,":[142],"LNs":[145],"extract":[146,190],"redundant":[147],"input":[148,192,290,311],"dampen":[151],"them":[152,252],"ORNs,":[154],"partially":[156],"whitening":[157],"normalizing":[159],"stimulus":[161,196,233,305],"representations":[162,197,249],"ORNs.":[164],"work":[166],"proposes":[167],"comprehensive":[169,258],"structure,":[173],"learning,":[177],"uncovers":[179],"general":[181],"potent":[183],"motif":[185],"learn":[188],"significant":[191],"features":[193],"render":[195],"more":[198],"efficient.":[199],"Significance":[200],"The":[201],"brain":[202,255],"represents":[203],"information":[204],"patterns":[206,226],"activity.":[209,292],"At":[210],"periphery,":[212],"due":[213],"properties":[216],"external":[219],"world":[220],"encoding":[223],"neurons,":[224],"these":[225],"contain":[227],"correlations,":[228],"which":[229,313],"are":[230],"detrimental":[231],"for":[232],"discrimination.":[234],"study":[236],"preprocesses":[247],"before":[250],"relaying":[251],"higher":[254],"areas.":[256],"A":[257],"understanding":[259],"this":[261],"preprocessing":[262],"is,":[263],"however,":[264],"lacking.":[265],"Here,":[266],"describing":[274],"function":[276],"predict":[281],"circuit\u2019s":[283,289],"show":[294],"environments,":[303],"extracts":[304],"features,":[306],"decorrelate":[308],"normalize":[310],"representations,":[312],"facilitates":[314],"odor":[315],"discrimination":[316],"downstream.":[317]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":6}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2023-07-11T00:00:00"}
