{"id":"https://openalex.org/W3207793743","doi":"https://doi.org/10.1109/tnnls.2022.3211274","title":"Hyperseed: Unsupervised Learning With Vector Symbolic Architectures","display_name":"Hyperseed: Unsupervised Learning With Vector Symbolic Architectures","publication_year":2022,"publication_date":"2022-11-16","ids":{"openalex":"https://openalex.org/W3207793743","doi":"https://doi.org/10.1109/tnnls.2022.3211274","mag":"3207793743","pmid":"https://pubmed.ncbi.nlm.nih.gov/36383581"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3211274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3211274","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5090043052","display_name":"Evgeny Osipov","orcid":"https://orcid.org/0000-0003-0069-640X"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Evgeny Osipov","raw_affiliation_strings":["Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071730776","display_name":"Sachin Kahawala","orcid":"https://orcid.org/0000-0003-0320-1337"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sachin Kahawala","raw_affiliation_strings":["Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071018302","display_name":"Dilantha Haputhanthri","orcid":"https://orcid.org/0000-0003-4319-9876"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dilantha Haputhanthri","raw_affiliation_strings":["Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023346210","display_name":"Thimal Kempitiya","orcid":"https://orcid.org/0000-0001-6294-0004"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thimal Kempitiya","raw_affiliation_strings":["Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064845769","display_name":"Daswin De Silva","orcid":"https://orcid.org/0000-0003-3878-5969"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daswin De Silva","raw_affiliation_strings":["Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008490552","display_name":"Damminda Alahakoon","orcid":"https://orcid.org/0000-0003-3291-888X"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Damminda Alahakoon","raw_affiliation_strings":["Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065925392","display_name":"Denis Kleyko","orcid":"https://orcid.org/0000-0002-6032-6155"},"institutions":[{"id":"https://openalex.org/I2800664555","display_name":"RISE Research Institutes of Sweden","ror":"https://ror.org/03nnxqz81","country_code":"SE","type":"other","lineage":["https://openalex.org/I2800664555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Denis Kleyko","raw_affiliation_strings":["Redwood Center for Theoretical Neuroscience, University of California at Berkeley, Berkeley, CA, USA","Intelligent Systems Laboratory, Research Institutes of Sweden, Kista, Sweden"],"affiliations":[{"raw_affiliation_string":"Redwood Center for Theoretical Neuroscience, University of California at Berkeley, Berkeley, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Intelligent Systems Laboratory, Research Institutes of Sweden, Kista, Sweden","institution_ids":["https://openalex.org/I2800664555"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5090043052"],"corresponding_institution_ids":["https://openalex.org/I190632392"],"apc_list":null,"apc_paid":null,"fwci":2.4852,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.89168838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"35","issue":"5","first_page":"6583","last_page":"6597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"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"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8399773836135864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7109311819076538},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6778243780136108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6178691387176514},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5767086744308472},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5150353908538818},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4714323580265045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4572337567806244},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4281463027000427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41435307264328003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3576216697692871},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09649461507797241}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8399773836135864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109311819076538},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6778243780136108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6178691387176514},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5767086744308472},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5150353908538818},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4714323580265045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4572337567806244},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4281463027000427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41435307264328003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3576216697692871},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09649461507797241},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3211274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3211274","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36383581","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36383581","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W1488378957","https://openalex.org/W1573706465","https://openalex.org/W1601950028","https://openalex.org/W1638583922","https://openalex.org/W1679913846","https://openalex.org/W1893934748","https://openalex.org/W1971743472","https://openalex.org/W1986707196","https://openalex.org/W2008264172","https://openalex.org/W2020353183","https://openalex.org/W2047428307","https://openalex.org/W2060982670","https://openalex.org/W2070862086","https://openalex.org/W2073543554","https://openalex.org/W2073583237","https://openalex.org/W2106963348","https://openalex.org/W2117655830","https://openalex.org/W2117904045","https://openalex.org/W2157306293","https://openalex.org/W2184545461","https://openalex.org/W2204214944","https://openalex.org/W2476008461","https://openalex.org/W2530333475","https://openalex.org/W2531011100","https://openalex.org/W2580157614","https://openalex.org/W2612853140","https://openalex.org/W2624514417","https://openalex.org/W2701877577","https://openalex.org/W2739676512","https://openalex.org/W2759478409","https://openalex.org/W2770867854","https://openalex.org/W2783525259","https://openalex.org/W2784010521","https://openalex.org/W2796260258","https://openalex.org/W2805904203","https://openalex.org/W2895910969","https://openalex.org/W2912225506","https://openalex.org/W2921503298","https://openalex.org/W2946432794","https://openalex.org/W2956015669","https://openalex.org/W2963650979","https://openalex.org/W2969945374","https://openalex.org/W2970402754","https://openalex.org/W2971246930","https://openalex.org/W2973650171","https://openalex.org/W2974428947","https://openalex.org/W2978376076","https://openalex.org/W2978452042","https://openalex.org/W2980740513","https://openalex.org/W2990509288","https://openalex.org/W2995846869","https://openalex.org/W2996171280","https://openalex.org/W2996817579","https://openalex.org/W3010069057","https://openalex.org/W3032819016","https://openalex.org/W3036016986","https://openalex.org/W3038077200","https://openalex.org/W3088458833","https://openalex.org/W3091625626","https://openalex.org/W3092001737","https://openalex.org/W3092127391","https://openalex.org/W3099661174","https://openalex.org/W3101009183","https://openalex.org/W3101387122","https://openalex.org/W3102985954","https://openalex.org/W3114030160","https://openalex.org/W3114259516","https://openalex.org/W3124315448","https://openalex.org/W3168260338","https://openalex.org/W3175268926","https://openalex.org/W3175575864","https://openalex.org/W3186989076","https://openalex.org/W3190134129","https://openalex.org/W3196482074","https://openalex.org/W3196972418","https://openalex.org/W3197226817","https://openalex.org/W3199289026","https://openalex.org/W3201344370","https://openalex.org/W3202939398","https://openalex.org/W3214202924","https://openalex.org/W4233030948","https://openalex.org/W4234572080","https://openalex.org/W4245176872","https://openalex.org/W4293216350","https://openalex.org/W4297669561","https://openalex.org/W4302028625","https://openalex.org/W4308481194","https://openalex.org/W4312498377","https://openalex.org/W6758710848","https://openalex.org/W6759001543","https://openalex.org/W6768663915","https://openalex.org/W6910478492","https://openalex.org/W7039442881"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4387251107","https://openalex.org/W4214914769","https://openalex.org/W4283271085","https://openalex.org/W3097013448"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"recent":[2],"innovations":[3],"in":[4,137],"biologically":[5],"inspired":[6],"neuromorphic":[7,76,138],"hardware,":[8],"this":[9],"article":[10],"presents":[11],"a":[12,34,90,115],"novel":[13],"unsupervised":[14],"machine":[15],"learning":[16,32,88,91],"algorithm":[17,85],"named":[18],"Hyperseed":[19,57,84,133],"that":[20],"draws":[21],"on":[22,44,74,94,103,107],"the":[23,61,83,120,130],"principles":[24],"of":[25,33,39,48,56,82,126,132],"vector":[26,96],"symbolic":[27],"architectures":[28],"(VSAs)":[29],"for":[30,72],"fast":[31],"topology":[35],"preserving":[36],"feature":[37],"map":[38],"unlabeled":[40],"data.":[41],"It":[42],"relies":[43],"two":[45,79],"major":[46],"operations":[47],"VSA,":[49],"binding":[50],"and":[51,89,106,114,134],"bundling.":[52],"The":[53,78,124],"algorithmic":[54],"part":[55],"is":[58,69],"expressed":[59],"within":[60],"Fourier":[62],"holographic":[63],"reduced":[64],"representations":[65],"(FHRR)":[66],"model,":[67],"which":[68],"specifically":[70],"suited":[71],"implementation":[73],"spiking":[75],"hardware.":[77,139],"primary":[80],"contributions":[81],"are":[86,100],"few-shot":[87],"rule":[92],"based":[93],"single":[95],"operation.":[97],"These":[98],"properties":[99],"empirically":[101],"evaluated":[102],"synthetic":[104],"datasets":[105],"illustrative":[108],"benchmark":[109],"use":[110],"cases,":[111],"IRIS":[112],"classification,":[113],"language":[116],"identification":[117],"task":[118],"using":[119],"n":[121],"-gram":[122],"statistics.":[123],"results":[125],"these":[127],"experiments":[128],"confirm":[129],"capabilities":[131],"its":[135],"applications":[136]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}