{"id":"https://openalex.org/W4386857255","doi":"https://doi.org/10.1162/neco_a_01615","title":"Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies","display_name":"Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies","publication_year":2023,"publication_date":"2023-09-19","ids":{"openalex":"https://openalex.org/W4386857255","doi":"https://doi.org/10.1162/neco_a_01615","pmid":"https://pubmed.ncbi.nlm.nih.gov/37725710"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_01615","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01615","pdf_url":"https://direct.mit.edu/neco/article-pdf/35/11/1797/2162691/neco_a_01615.pdf","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://direct.mit.edu/neco/article-pdf/35/11/1797/2162691/neco_a_01615.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014424245","display_name":"Yang Shen","orcid":"https://orcid.org/0000-0002-6344-9951"},"institutions":[{"id":"https://openalex.org/I2750212522","display_name":"Cold Spring Harbor Laboratory","ror":"https://ror.org/02qz8b764","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2750212522"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Shen","raw_affiliation_strings":["Cold Spring Harbor Laboratory, Simons Center for Quantitative Biology, Cold Spring Harbor, NY 11724, U.S.A. yashen@cshl.edu"],"affiliations":[{"raw_affiliation_string":"Cold Spring Harbor Laboratory, Simons Center for Quantitative Biology, Cold Spring Harbor, NY 11724, U.S.A. yashen@cshl.edu","institution_ids":["https://openalex.org/I2750212522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101707744","display_name":"Sanjoy Dasgupta","orcid":"https://orcid.org/0000-0002-5960-5157"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sanjoy Dasgupta","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, U.S.A. dasgupta@eng.ucsd.edu"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, U.S.A. dasgupta@eng.ucsd.edu","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060581759","display_name":"Saket Navlakha","orcid":"https://orcid.org/0000-0002-5505-9718"},"institutions":[{"id":"https://openalex.org/I2750212522","display_name":"Cold Spring Harbor Laboratory","ror":"https://ror.org/02qz8b764","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2750212522"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saket Navlakha","raw_affiliation_strings":["Cold Spring Harbor Laboratory, Simons Center for Quantitative Biology, Cold Spring Harbor, NY 11724, U.S.A. navlakha@cshl.edu"],"affiliations":[{"raw_affiliation_string":"Cold Spring Harbor Laboratory, Simons Center for Quantitative Biology, Cold Spring Harbor, NY 11724, U.S.A. navlakha@cshl.edu","institution_ids":["https://openalex.org/I2750212522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014424245","https://openalex.org/A5060581759","https://openalex.org/A5101707744"],"corresponding_institution_ids":["https://openalex.org/I2750212522","https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.1019,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80127518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"11","first_page":"1797","last_page":"1819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9865999817848206,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7917040586471558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.712501049041748},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.6459589600563049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5947257280349731},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5498700737953186},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5436252355575562},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5319737792015076},{"id":"https://openalex.org/keywords/mushroom-bodies","display_name":"Mushroom bodies","score":0.5217664837837219},{"id":"https://openalex.org/keywords/associative-learning","display_name":"Associative learning","score":0.485405296087265},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.45403218269348145},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44525226950645447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4117630422115326},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.17546796798706055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1348033845424652},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13477936387062073},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09113705158233643},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08041593432426453}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7917040586471558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.712501049041748},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.6459589600563049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5947257280349731},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5498700737953186},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5436252355575562},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5319737792015076},{"id":"https://openalex.org/C2776038537","wikidata":"https://www.wikidata.org/wiki/Q1362803","display_name":"Mushroom bodies","level":4,"score":0.5217664837837219},{"id":"https://openalex.org/C2983526489","wikidata":"https://www.wikidata.org/wiki/Q133500","display_name":"Associative learning","level":2,"score":0.485405296087265},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.45403218269348145},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44525226950645447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4117630422115326},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.17546796798706055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1348033845424652},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13477936387062073},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09113705158233643},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08041593432426453},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"id":"https://openalex.org/C2780104201","wikidata":"https://www.wikidata.org/wiki/Q130888","display_name":"Drosophila melanogaster","level":3,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004175","descriptor_name":"Diptera","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004175","descriptor_name":"Diptera","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004175","descriptor_name":"Diptera","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004175","descriptor_name":"Diptera","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008568","descriptor_name":"Memory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008568","descriptor_name":"Memory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008568","descriptor_name":"Memory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008568","descriptor_name":"Memory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1162/neco_a_01615","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01615","pdf_url":"https://direct.mit.edu/neco/article-pdf/35/11/1797/2162691/neco_a_01615.pdf","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:37725710","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37725710","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,"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":"Neural computation","raw_type":null},{"id":"pmh:oai:repository.cshl.edu:41202","is_oa":true,"landing_page_url":null,"pdf_url":"https://repository.cshl.edu/id/eprint/41202/1/2023_Shen_Reducing_Catastrophic_Forgetting_with_Associative_Learning.pdf","source":{"id":"https://openalex.org/S4306402288","display_name":"Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.1162/neco_a_01615","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01615","pdf_url":"https://direct.mit.edu/neco/article-pdf/35/11/1797/2162691/neco_a_01615.pdf","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386857255.pdf","grobid_xml":"https://content.openalex.org/works/W4386857255.grobid-xml"},"referenced_works_count":86,"referenced_works":["https://openalex.org/W1573706465","https://openalex.org/W1904621031","https://openalex.org/W1965413214","https://openalex.org/W1973682096","https://openalex.org/W1981411762","https://openalex.org/W1989753378","https://openalex.org/W1993533483","https://openalex.org/W2004437322","https://openalex.org/W2012627172","https://openalex.org/W2033016465","https://openalex.org/W2040870580","https://openalex.org/W2047057213","https://openalex.org/W2047234954","https://openalex.org/W2070862086","https://openalex.org/W2071290167","https://openalex.org/W2074376560","https://openalex.org/W2117794907","https://openalex.org/W2121550993","https://openalex.org/W2125938763","https://openalex.org/W2127464971","https://openalex.org/W2129386380","https://openalex.org/W2138260451","https://openalex.org/W2143045663","https://openalex.org/W2149194912","https://openalex.org/W2157991741","https://openalex.org/W2158976454","https://openalex.org/W2165820447","https://openalex.org/W2168101731","https://openalex.org/W2187086501","https://openalex.org/W2315777253","https://openalex.org/W2488060953","https://openalex.org/W2529605558","https://openalex.org/W2560647685","https://openalex.org/W2588048611","https://openalex.org/W2605205065","https://openalex.org/W2612690371","https://openalex.org/W2650517833","https://openalex.org/W2726159424","https://openalex.org/W2737808707","https://openalex.org/W2748551393","https://openalex.org/W2774719659","https://openalex.org/W2788388592","https://openalex.org/W2804746922","https://openalex.org/W2884269201","https://openalex.org/W2891505771","https://openalex.org/W2903195746","https://openalex.org/W2913668833","https://openalex.org/W2918076437","https://openalex.org/W2919115771","https://openalex.org/W2922783569","https://openalex.org/W2945174841","https://openalex.org/W2949808130","https://openalex.org/W2951563784","https://openalex.org/W2963559848","https://openalex.org/W2964067969","https://openalex.org/W2994887008","https://openalex.org/W3015944047","https://openalex.org/W3048941751","https://openalex.org/W3081080769","https://openalex.org/W3097902919","https://openalex.org/W3107810305","https://openalex.org/W3112375501","https://openalex.org/W3115033996","https://openalex.org/W3147653952","https://openalex.org/W4234552385","https://openalex.org/W4287762045","https://openalex.org/W4301163820","https://openalex.org/W4311743904","https://openalex.org/W4317612160","https://openalex.org/W4360103626","https://openalex.org/W6631089601","https://openalex.org/W6631621112","https://openalex.org/W6643571286","https://openalex.org/W6679786247","https://openalex.org/W6730146409","https://openalex.org/W6741087337","https://openalex.org/W6741217325","https://openalex.org/W6746658061","https://openalex.org/W6759854242","https://openalex.org/W6760581627","https://openalex.org/W6763059689","https://openalex.org/W6773014370","https://openalex.org/W6773950224","https://openalex.org/W6779498193","https://openalex.org/W6779694060","https://openalex.org/W6780803138"],"related_works":["https://openalex.org/W2072795212","https://openalex.org/W2150103174","https://openalex.org/W1974223005","https://openalex.org/W2032933116","https://openalex.org/W2092188047","https://openalex.org/W2093193065","https://openalex.org/W2116133656","https://openalex.org/W2054132454","https://openalex.org/W3162747271","https://openalex.org/W2070942825"],"abstract_inverted_index":{"Catastrophic":[0],"forgetting":[1,156],"remains":[2],"an":[3,45,196],"outstanding":[4],"challenge":[5],"in":[6,48,54,69],"continual":[7,17,55,77,164,198],"learning.":[8,165],"Recently,":[9],"methods":[10],"inspired":[11],"by":[12,102],"the":[13,49,70,87,112,116,122,131,134,159],"brain,":[14],"such":[15],"as":[16],"representation":[18],"learning":[19,31,56,79,200],"and":[20,36,82,121,177,202],"memory":[21,100],"replay,":[22],"have":[23],"been":[24,59],"used":[25],"to":[26,138,158,210],"combat":[27],"catastrophic":[28,155],"forgetting.":[29],"Associative":[30],"(retaining":[32],"associations":[33],"between":[34,80,118],"inputs":[35,90],"outputs,":[37],"even":[38],"after":[39],"good":[40],"representations":[41],"are":[42,92,127,136],"learned)":[43],"plays":[44],"important":[46],"function":[47],"brain;":[50],"however,":[51],"its":[52],"role":[53],"has":[57],"not":[58],"carefully":[60],"studied.":[61],"Here,":[62],"we":[63],"identified":[64],"a":[65,188],"two-layer":[66,189],"neural":[67],"circuit":[68,203],"fruit":[71,193],"fly":[72],"olfactory":[73],"system":[74],"that":[75,148,174],"performs":[76],"associative":[78,199],"odors":[81],"their":[83],"associated":[84,124],"valences.":[85],"In":[86,111],"first":[88],"layer,":[89,114],"(odors)":[91],"encoded":[93],"using":[94,187],"sparse,":[95],"high-dimensional":[96],"representations,":[97],"which":[98],"reduces":[99],"interference":[101],"activating":[103],"nonoverlapping":[104],"populations":[105],"of":[106,133],"neurons":[107,120],"for":[108],"different":[109],"odors.":[110],"second":[113],"only":[115],"synapses":[117],"odor-activated":[119],"odor's":[123],"output":[125],"neuron":[126],"modified":[128],"during":[129],"learning;":[130],"rest":[132],"weights":[135],"frozen":[137],"prevent":[139],"unrelated":[140],"memories":[141],"from":[142,205],"being":[143],"overwritten.":[144],"We":[145,166],"prove":[146],"theoretically":[147],"these":[149],"two":[150],"perceptron-like":[151],"layers":[152],"help":[153],"reduce":[154],"compared":[157],"original":[160],"perceptron":[161],"algorithm,":[162,201],"under":[163],"then":[167],"show":[168],"empirically":[169],"on":[170],"benchmark":[171],"data":[172],"sets":[173],"this":[175],"simple":[176],"lightweight":[178],"architecture":[179],"outperforms":[180],"other":[181],"popular":[182],"neural-inspired":[183],"algorithms":[184],"when":[185],"also":[186],"feedforward":[190],"architecture.":[191],"Overall,":[192],"flies":[194],"evolved":[195],"efficient":[197],"mechanisms":[204],"neuroscience":[206],"can":[207],"be":[208],"translated":[209],"improve":[211],"machine":[212],"computation.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}
