{"id":"https://openalex.org/W4400648137","doi":"https://doi.org/10.1109/tbme.2024.3408279","title":"Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities","display_name":"Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4400648137","doi":"https://doi.org/10.1109/tbme.2024.3408279","pmid":"https://pubmed.ncbi.nlm.nih.gov/39008389"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2024.3408279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3408279","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","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/A5007658850","display_name":"Yang Ni","orcid":"https://orcid.org/0000-0002-8509-7803"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Ni","raw_affiliation_strings":["Department of Computer Science, University of California Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0002-8509-7803","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102616451","display_name":"Ye Yang","orcid":"https://orcid.org/0000-0002-5389-9633"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Yang","raw_affiliation_strings":["School of Medicine, University of California Irvine, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, University of California Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036433213","display_name":"Hanning Chen","orcid":"https://orcid.org/0000-0003-1956-5135"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanning Chen","raw_affiliation_strings":["Department of Computer Science, University of California Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0003-1956-5135","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023884915","display_name":"Xianhui Wang","orcid":"https://orcid.org/0000-0003-3350-1963"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianhui Wang","raw_affiliation_strings":["School of Medicine, University of California Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0003-3350-1963","affiliations":[{"raw_affiliation_string":"School of Medicine, University of California Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026584325","display_name":"Nicholas A. Lesica","orcid":"https://orcid.org/0000-0001-5238-4462"},"institutions":[{"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":"Nicholas Lesica","raw_affiliation_strings":["Ear Institute, University College London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ear Institute, University College London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060620724","display_name":"Fan\u2010Gang Zeng","orcid":"https://orcid.org/0000-0002-4325-2780"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan-gang Zeng","raw_affiliation_strings":["School of Medicine, University of California Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0002-4325-2780","affiliations":[{"raw_affiliation_string":"School of Medicine, University of California Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033221192","display_name":"Mohsen Imani","orcid":"https://orcid.org/0000-0002-5761-0622"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Imani","raw_affiliation_strings":["Department of Computer Science, University of California Irvine, Irvine, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5761-0622","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5007658850"],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":0.7961,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71718194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"71","issue":"11","first_page":"3098","last_page":"3110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9940999746322632,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9940999746322632,"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/T10049","display_name":"Magnetic properties of thin films","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.0005000000237487257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inferior-colliculus","display_name":"Inferior colliculus","score":0.8245316743850708},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5892231464385986},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42276784777641296},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.39356642961502075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.377483069896698},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3620389401912689},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35359060764312744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31760960817337036},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16406682133674622},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13583660125732422}],"concepts":[{"id":"https://openalex.org/C2775980177","wikidata":"https://www.wikidata.org/wiki/Q358512","display_name":"Inferior colliculus","level":3,"score":0.8245316743850708},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5892231464385986},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42276784777641296},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.39356642961502075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.377483069896698},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3620389401912689},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35359060764312744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31760960817337036},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16406682133674622},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13583660125732422},{"id":"https://openalex.org/C2780723820","wikidata":"https://www.wikidata.org/wiki/Q1934178","display_name":"Nucleus","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005849","descriptor_name":"Gerbillinae","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005849","descriptor_name":"Gerbillinae","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005849","descriptor_name":"Gerbillinae","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005849","descriptor_name":"Gerbillinae","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005849","descriptor_name":"Gerbillinae","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007245","descriptor_name":"Inferior Colliculi","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007245","descriptor_name":"Inferior Colliculi","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007245","descriptor_name":"Inferior Colliculi","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007245","descriptor_name":"Inferior Colliculi","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007245","descriptor_name":"Inferior Colliculi","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2024.3408279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3408279","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:39008389","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39008389","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 bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1036738569","display_name":null,"funder_award_id":"2319198","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G236745764","display_name":null,"funder_award_id":"BB/Y008758/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"},{"id":"https://openalex.org/G4560043218","display_name":null,"funder_award_id":"2321840","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5328310267","display_name":null,"funder_award_id":"2235472","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5902605455","display_name":null,"funder_award_id":"2312517","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7363961228","display_name":null,"funder_award_id":"FA9550-22-1-0253","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G8134046633","display_name":null,"funder_award_id":"N00014-22-1-2067","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8862787963","display_name":null,"funder_award_id":"2127780","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8915565379","display_name":null,"funder_award_id":"N00014-21-1-2225","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320334629","display_name":"Biotechnology and Biological Sciences Research Council","ror":"https://ror.org/00cwqg982"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1842800038","https://openalex.org/W1965609403","https://openalex.org/W1991266025","https://openalex.org/W1999962454","https://openalex.org/W2025192094","https://openalex.org/W2025449195","https://openalex.org/W2051178577","https://openalex.org/W2066459403","https://openalex.org/W2070862086","https://openalex.org/W2085957678","https://openalex.org/W2093290760","https://openalex.org/W2103634870","https://openalex.org/W2139564752","https://openalex.org/W2151544568","https://openalex.org/W2161236321","https://openalex.org/W2166476089","https://openalex.org/W2171406132","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2291961022","https://openalex.org/W2404172965","https://openalex.org/W2554538030","https://openalex.org/W2557301950","https://openalex.org/W2734400834","https://openalex.org/W2761921352","https://openalex.org/W2782213427","https://openalex.org/W2907825321","https://openalex.org/W2915418849","https://openalex.org/W2915893085","https://openalex.org/W2943643445","https://openalex.org/W2951498229","https://openalex.org/W2963363970","https://openalex.org/W2964092203","https://openalex.org/W3036478084","https://openalex.org/W3103415979","https://openalex.org/W3130920634","https://openalex.org/W3140854437","https://openalex.org/W3158026198","https://openalex.org/W3158860039","https://openalex.org/W3159170200","https://openalex.org/W3184049905","https://openalex.org/W3212965658","https://openalex.org/W3216723214","https://openalex.org/W4210566186","https://openalex.org/W4234572080","https://openalex.org/W4280579492","https://openalex.org/W4293023456","https://openalex.org/W4293261679","https://openalex.org/W4297926278","https://openalex.org/W4312548189","https://openalex.org/W4377969791","https://openalex.org/W4394603558","https://openalex.org/W6681302627","https://openalex.org/W6695314431","https://openalex.org/W6733412602","https://openalex.org/W6747652377","https://openalex.org/W6758804334"],"related_works":["https://openalex.org/W2147125279","https://openalex.org/W2061298126","https://openalex.org/W2380173731","https://openalex.org/W2333897422","https://openalex.org/W2010923261","https://openalex.org/W1972193691","https://openalex.org/W2159978664","https://openalex.org/W1967242097","https://openalex.org/W2895769745","https://openalex.org/W4210447771"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Develop":[1],"a":[2,69,94,178],"novel":[3],"and":[4,44,54,71,79,97,144,188,215,259,266,277,288],"highly":[5,95],"efficient":[6,28,61],"framework":[7,273],"that":[8,75,154],"decodes":[9],"Inferior":[10],"Colliculus":[11],"(IC)":[12],"neural":[13,62,118,212,236],"activities":[14,119,237],"for":[15,60,107,210,279],"phoneme":[16,29,216],"recognition.":[17],"METHODS:":[18],"We":[19,130,191],"propose":[20],"using":[21],"Hyperdimensional":[22],"Computing":[23],"(HDC)":[24],"to":[25,34,167,181,194,242,284],"support":[26],"an":[27,239],"recognition":[30,142],"algorithm,":[31],"in":[32,46,50,141,199,228],"contrast":[33],"widely":[35],"applied":[36],"Deep":[37,169],"Neural":[38,171],"Networks":[39],"(DNN).":[40],"The":[41,151,270],"high-dimensional":[42],"representation":[43],"operations":[45],"HDC":[47,73,209],"are":[48,257],"rooted":[49],"human":[51,246],"brain":[52],"functionalities":[53],"naturally":[55],"parallelizable,":[56],"showing":[57],"the":[58,89,124,163,168,253],"potential":[59],"activity":[63,213],"analysis.":[64],"Our":[65],"proposed":[66,133,271],"method":[67,134,156,176],"includes":[68],"spatial":[70],"temporal-aware":[72],"encoder":[74],"effectively":[76],"captures":[77],"global":[78],"local":[80],"patterns.":[81],"As":[82],"part":[83],"of":[84,126,221],"our":[85,113,132,155,175],"framework,":[86],"we":[87,115,218],"deploy":[88],"lightweight":[90],"HDC-based":[91,272],"algorithm":[92,109],"on":[93,120,185],"customizable":[96],"flexible":[98],"hardware":[99,149],"platform,":[100],"i.e.,":[101],"Field":[102],"Programmable":[103],"Gate":[104],"Arrays":[105],"(FPGA),":[106],"optimal":[108],"speedup.":[110],"To":[111],"evaluate":[112],"method,":[114],"record":[116],"IC":[117,211,235],"gerbils":[121],"while":[122,225],"playing":[123],"sound":[125],"different":[127,148],"phonemes.":[128],"RESULTS:":[129],"compare":[131],"with":[135],"multiple":[136],"baseline":[137],"machine":[138],"learning":[139,145],"algorithms":[140],"quality":[143,161],"efficiency,":[146],"across":[147],"platforms.":[150],"results":[152],"show":[153],"generally":[157],"achieves":[158],"better":[159,290],"classification":[160,202],"than":[162,203],"best-performing":[164],"baseline.":[165],"Compared":[166],"Residual":[170],"Network":[172],"(i.e.,":[173],"ResNet),":[174],"shows":[177],"speedup":[179,224],"up":[180,193],"74\u00d7,":[182],"67\u00d7,":[183],"210\u00d7":[184],"CPU,":[186],"GPU,":[187],"FPGA":[189],"respectively.":[190],"achieve":[192,219],"15%":[195],"(10%)":[196],"higher":[197],"accuracy":[198,227],"consonant":[200],"(vowel)":[201],"ResNet.":[204],"CONCLUSION:":[205],"By":[206],"leveraging":[207],"brain-inspired":[208],"encoding":[214],"classification,":[217],"orders":[220],"magnitude":[222],"runtime":[223],"improving":[226],"various":[229],"challenging":[230],"task":[231],"settings.":[232],"SIGNIFICANCE:":[233],"Decoding":[234],"is":[238,274],"important":[240],"step":[241],"enhance":[243],"understanding":[244],"about":[245],"auditory":[247,255],"system.":[248],"However,":[249],"these":[250],"responses":[251],"from":[252],"central":[254],"system":[256],"noisy":[258],"contain":[260],"high":[261],"variance,":[262],"demanding":[263],"large-scale":[264],"datasets":[265],"iterative":[267],"model":[268],"fine-tuning.":[269],"more":[275],"scalable":[276],"viable":[278],"future":[280],"real-world":[281],"deployment":[282],"thanks":[283],"its":[285],"fast":[286],"training":[287],"overall":[289],"quality.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
