{"id":"https://openalex.org/W4404564373","doi":"https://doi.org/10.1109/uemcon62879.2024.10754701","title":"Supervised Learning Algorithm for Deep Spiking Neural Networks Based on Instantaneous Error","display_name":"Supervised Learning Algorithm for Deep Spiking Neural Networks Based on Instantaneous Error","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4404564373","doi":"https://doi.org/10.1109/uemcon62879.2024.10754701"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon62879.2024.10754701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon62879.2024.10754701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5100372480","display_name":"Yanan Li","orcid":"https://orcid.org/0000-0003-4259-994X"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Li","raw_affiliation_strings":["Northwest Normal University,College of Computer Science and Engineering,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Normal University,College of Computer Science and Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078704613","display_name":"Xianghong Lin","orcid":"https://orcid.org/0000-0002-7932-0546"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghong Lin","raw_affiliation_strings":["Northwest Normal University,College of Computer Science and Engineering,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Normal University,College of Computer Science and Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046054148","display_name":"Xiaoqing Fan","orcid":"https://orcid.org/0000-0001-7140-1328"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Fan","raw_affiliation_strings":["Northwest Normal University,College of Computer Science and Engineering,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Normal University,College of Computer Science and Engineering,Lanzhou,China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22267886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9610000252723694,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9610000252723694,"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":0.7575266361236572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6621705889701843},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.559832751750946},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5240000486373901},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4448603391647339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43354976177215576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4274083971977234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37669050693511963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575266361236572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621705889701843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.559832751750946},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5240000486373901},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4448603391647339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43354976177215576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4274083971977234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37669050693511963}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon62879.2024.10754701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon62879.2024.10754701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W4375867731","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2920832517","https://openalex.org/W4388827557","https://openalex.org/W2611989081","https://openalex.org/W4380075502"],"abstract_inverted_index":{"In":[0],"the":[1,8,12,40,71,79,83,91,94,97,118,135,138,145,156],"development":[2],"of":[3,42,73,125,137,165],"neural":[4,57],"networks,":[5],"BPTT":[6],"updates":[7],"weights":[9],"by":[10,76,88],"decomposing":[11],"time":[13,17,173],"series":[14,124],"into":[15,38],"consecutive":[16],"steps":[18],"and":[19,87,96],"using":[20],"a":[21,54,123],"standard":[22],"backpropagation":[23],"strategy.":[24],"Although":[25],"this":[26,47,49,130],"approach":[27],"works":[28],"well":[29],"in":[30,163,172],"some":[31],"cases,":[32],"it":[33],"does":[34],"not":[35,132,159],"fully":[36],"take":[37],"account":[39],"importance":[41],"temporal":[43],"localization.":[44],"To":[45],"surpass":[46],"constraint,":[48],"paper":[50,131],"innovatively":[51],"introduces":[52],"Multi_INSER,":[53],"multilayer":[55],"spiking":[56],"network":[58],"supervised":[59],"learning":[60,128,150],"algorithm":[61,68,157],"based":[62,116],"on":[63,78,117],"instantaneous":[64,119],"error":[65,81,120],"computation.":[66],"The":[67,100,152],"breaks":[69],"through":[70],"constraints":[72],"traditional":[74],"algorithms":[75],"focusing":[77],"prediction":[80],"at":[82],"current":[84],"moment":[85],"only,":[86],"accurately":[89],"measuring":[90],"discrepancy":[92],"between":[93],"expected":[95],"real":[98],"result.":[99],"gradient":[101],"descent":[102],"method":[103],"is":[104,158],"used":[105],"for":[106],"immediate":[107],"weight":[108],"adjustment,":[109],"which":[110],"realizes":[111],"an":[112],"efficient":[113],"optimization":[114],"strategy":[115],"gradient.":[121],"Through":[122],"spike":[126],"sequence":[127],"experiments,":[129],"only":[133,160],"verifies":[134],"effectiveness":[136],"Multi_INSER":[139],"algorithm,":[140],"but":[141,167],"also":[142,168],"deeply":[143],"discusses":[144],"key":[146],"factors":[147],"affecting":[148],"its":[149],"performance.":[151],"results":[153],"demonstrate":[154],"that":[155],"equally":[161],"matched":[162],"terms":[164],"performance,":[166],"shows":[169],"significant":[170],"advantages":[171],"efficiency.":[174]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}