{"id":"https://openalex.org/W4224288651","doi":"https://doi.org/10.1109/tnnls.2022.3165527","title":"Improving Multispike Learning With Plastic Synaptic Delays","display_name":"Improving Multispike Learning With Plastic Synaptic Delays","publication_year":2022,"publication_date":"2022-04-20","ids":{"openalex":"https://openalex.org/W4224288651","doi":"https://doi.org/10.1109/tnnls.2022.3165527","pmid":"https://pubmed.ncbi.nlm.nih.gov/35442893"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3165527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3165527","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/A5100717174","display_name":"Qiang Yu","orcid":"https://orcid.org/0000-0002-0695-1603"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Yu","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0695-1603","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059841538","display_name":"Jialu Gao","orcid":"https://orcid.org/0000-0001-8345-1365"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialu Gao","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-8345-1365","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027428789","display_name":"Jianguo Wei","orcid":"https://orcid.org/0000-0002-8964-9759"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Wei","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8964-9759","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626667","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-5139-938X"},"institutions":[{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital, Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital, Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China","institution_ids":["https://openalex.org/I5740404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kay Chen Tan","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-6802-2463","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4234-6099","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.767,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.84178385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"12","first_page":"10254","last_page":"10265"},"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":0.9980999827384949,"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":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7807743549346924},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7791664600372314},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6949558854103088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5959633588790894},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5834381580352783},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5372353196144104},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5355837941169739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48525476455688477},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.4718342423439026},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.467791885137558},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.4456678330898285},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.4307117462158203},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.3675389289855957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807743549346924},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7791664600372314},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6949558854103088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5959633588790894},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5834381580352783},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5372353196144104},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5355837941169739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48525476455688477},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.4718342423439026},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.467791885137558},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.4456678330898285},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.4307117462158203},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.3675389289855957},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3165527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3165527","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:35442893","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35442893","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G2038157767","display_name":null,"funder_award_id":"61876162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4384829933","display_name":null,"funder_award_id":"PolyU11211521","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G4640825918","display_name":null,"funder_award_id":"62176179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5237320274","display_name":null,"funder_award_id":"PolyU11202418","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1491481853","https://openalex.org/W1552068584","https://openalex.org/W1570411240","https://openalex.org/W1878230505","https://openalex.org/W1971390819","https://openalex.org/W1986360336","https://openalex.org/W1994341528","https://openalex.org/W2006370340","https://openalex.org/W2008008156","https://openalex.org/W2020096355","https://openalex.org/W2040373704","https://openalex.org/W2042013578","https://openalex.org/W2050301097","https://openalex.org/W2060542399","https://openalex.org/W2074589580","https://openalex.org/W2076015009","https://openalex.org/W2076372824","https://openalex.org/W2079995124","https://openalex.org/W2106661057","https://openalex.org/W2107433900","https://openalex.org/W2113420865","https://openalex.org/W2115659607","https://openalex.org/W2115831804","https://openalex.org/W2128986855","https://openalex.org/W2130974072","https://openalex.org/W2137614665","https://openalex.org/W2154616847","https://openalex.org/W2165196858","https://openalex.org/W2165396124","https://openalex.org/W2165639766","https://openalex.org/W2170968634","https://openalex.org/W2290982066","https://openalex.org/W2313320147","https://openalex.org/W2343732617","https://openalex.org/W2411638330","https://openalex.org/W2469278928","https://openalex.org/W2517730294","https://openalex.org/W2533953219","https://openalex.org/W2569813014","https://openalex.org/W2618691108","https://openalex.org/W2625270620","https://openalex.org/W2783525259","https://openalex.org/W2802748234","https://openalex.org/W2806066966","https://openalex.org/W2808594940","https://openalex.org/W2883294120","https://openalex.org/W2884001105","https://openalex.org/W2901937441","https://openalex.org/W2904845041","https://openalex.org/W2905778174","https://openalex.org/W2919115771","https://openalex.org/W2924112519","https://openalex.org/W2962804204","https://openalex.org/W2963809228","https://openalex.org/W2963977978","https://openalex.org/W2964035021","https://openalex.org/W2987260487","https://openalex.org/W2990793844","https://openalex.org/W2997498437","https://openalex.org/W3005985924","https://openalex.org/W3012762803","https://openalex.org/W3015854248","https://openalex.org/W3022627268","https://openalex.org/W3100597003","https://openalex.org/W3103106823","https://openalex.org/W3120582545","https://openalex.org/W3128073964","https://openalex.org/W3129394529","https://openalex.org/W3163885930","https://openalex.org/W4211163766","https://openalex.org/W4231081240"],"related_works":["https://openalex.org/W2542565870","https://openalex.org/W3089892344","https://openalex.org/W3081559266","https://openalex.org/W3110622310","https://openalex.org/W3126544799","https://openalex.org/W2736237086","https://openalex.org/W2942803402","https://openalex.org/W4283688984","https://openalex.org/W3201928939","https://openalex.org/W4283692267"],"abstract_inverted_index":{"Emulating":[0],"the":[1,5,20,34,38,64,96,128,135,146,161,188,208,227,243],"spike-based":[2,246],"processing":[3],"in":[4,83,120,207,222],"brain,":[6],"spiking":[7],"neural":[8,25,85],"networks":[9,26],"(SNNs)":[10],"are":[11,76,125],"developed":[12],"and":[13,41,81,131,148,168,181,190,230,239],"act":[14],"as":[15,33,73,101,132,220],"a":[16,51,112,133,175,216],"promising":[17],"candidate":[18],"for":[19,215],"new":[21,113],"generation":[22],"of":[23,43,66,98,137,150,164,178,192,226,245],"artificial":[24],"that":[27,183],"aim":[28],"to":[29,37,78,94,155,200,241],"produce":[30],"efficient":[31,46],"cognitions":[32],"brain.":[35],"Due":[36,199],"complex":[39],"dynamics":[40],"nonlinearity":[42],"SNNs,":[44],"designing":[45],"learning":[47,97,129,139],"algorithms":[48],"has":[49],"remained":[50],"major":[52],"difficulty,":[53],"which":[54],"attracts":[55],"great":[56],"research":[57],"attention.":[58],"Most":[59],"existing":[60],"ones":[61],"focus":[62],"on":[63,90],"adjustment":[65],"synaptic":[67,74,166],"weights.":[68],"However,":[69],"other":[70,173],"components,":[71],"such":[72],"delays,":[75],"found":[77],"be":[79,212],"adaptive":[80],"important":[82],"modulating":[84],"behavior.":[86],"How":[87],"could":[88],"plasticity":[89,116],"different":[91],"components":[92],"cooperate":[93,170],"improve":[95,242],"SNNs":[99],"remains":[100],"an":[102],"interesting":[103],"question.":[104],"Advancing":[105],"our":[106,151,223],"previous":[107],"multispike":[108,138],"learning,":[109],"we":[110,159],"propose":[111],"joint":[114],"weight-delay":[115],"rule,":[117],"named":[118],"TDP-DL,":[119],"this":[121,201],"article.":[122],"Plastic":[123],"delays":[124,169,185],"integrated":[126,214],"into":[127],"framework,":[130],"result,":[134],"performance":[136,244],"is":[140,236],"significantly":[141],"improved.":[142],"Simulation":[143],"results":[144],"highlight":[145],"effectiveness":[147],"efficiency":[149],"TDP-DL":[152],"rule":[153],"compared":[154],"baseline":[156],"ones.":[157],"Moreover,":[158],"reveal":[160],"underlying":[162],"principle":[163],"how":[165],"weights":[167],"with":[171],"each":[172],"through":[174],"synthetic":[176],"task":[177],"interval":[179],"selectivity":[180,189],"show":[182],"plastic":[184],"can":[186,211],"enhance":[187],"flexibility":[191],"neurons":[193],"by":[194],"shifting":[195],"information":[196,204],"across":[197],"time.":[198],"capability,":[202],"useful":[203],"distributed":[205],"away":[206],"time":[209],"domain":[210],"effectively":[213],"better":[217],"accuracy":[218],"performance,":[219],"highlighted":[221],"generalization":[224],"tasks":[225],"image,":[228],"speech,":[229],"event-based":[231],"object":[232],"recognitions.":[233],"Our":[234],"work":[235],"thus":[237],"valuable":[238],"significant":[240],"neuromorphic":[247],"computing.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}