{"id":"https://openalex.org/W4403487434","doi":"https://doi.org/10.3233/faia240804","title":"Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks","display_name":"Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403487434","doi":"https://doi.org/10.3233/faia240804"},"language":"en","primary_location":{"id":"doi:10.3233/faia240804","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240804","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240804","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240804","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101284989","display_name":"Lang Xue","orcid":"https://orcid.org/0009-0008-9743-8645"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Xue","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757252","display_name":"Hanwen Liu","orcid":"https://orcid.org/0009-0001-2090-5398"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HanWen Liu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378697","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0003-3653-7013"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112457024","display_name":"Hong Qu","orcid":"https://orcid.org/0000-0002-7590-144X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Qu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35926214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9983000159263611,"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":0.9800000190734863,"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":0.634975790977478},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6283330321311951},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5549185276031494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4527112543582916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42839476466178894},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35081028938293457},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07733377814292908},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.04303210973739624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634975790977478},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6283330321311951},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5549185276031494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4527112543582916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42839476466178894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35081028938293457},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07733377814292908},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.04303210973739624}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240804","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240804","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240804","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240804","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240804","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240804","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403487434.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Spiking":[0],"neural":[1],"networks":[2],"(SNNs)":[3],"have":[4],"the":[5,51,58,87,108,125,136,153,156],"potential":[6],"to":[7,50,95],"simulate":[8],"sparse":[9],"and":[10,43,46,70,73,118,131,159,163,173],"spatio-temporal":[11,146],"dynamics":[12],"observed":[13],"in":[14,55,86,111],"biological":[15],"neurons,":[16],"making":[17],"them":[18],"promising":[19],"for":[20,34,76],"achieving":[21],"energy-efficient":[22],"artificial":[23],"general":[24],"intelligence.":[25],"While":[26],"backpropagation":[27],"through":[28],"time":[29],"(BPTT)":[30],"ensures":[31],"reliable":[32],"precision":[33],"training":[35,61,140,198],"SNNs,":[36],"it":[37,189],"is":[38],"hampered":[39],"by":[40,115],"high":[41],"computation":[42,162],"storage":[44],"complexity":[45],"does":[47],"not":[48],"conform":[49],"instantaneous":[52],"learning":[53,78,148],"mechanism":[54],"brains.":[56],"On":[57],"contrary,":[59],"online":[60,91,128,139,147,157,197],"algorithms,":[62],"which":[63,93,150],"are":[64,74],"biologically":[65],"interpretable,":[66],"offer":[67],"low":[68],"latency":[69],"memory":[71,164],"efficiency,":[72],"well-suited":[75],"on-chip":[77],"applications.":[79],"However,":[80],"recent":[81],"research":[82],"exhibit":[83],"a":[84,191],"deficiency":[85],"scientific":[88],"comprehension":[89],"of":[90,107,127,138,155,185],"gradients,":[92],"leads":[94],"certain":[96],"limitations.":[97],"To":[98,133],"address":[99],"this":[100],"issue,":[101],"we":[102,144],"conduct":[103],"an":[104],"in-depth":[105],"analysis":[106],"calculation":[109],"deviation":[110],"chain":[112],"derivations":[113],"induced":[114],"weight":[116],"update":[117],"find":[119],"two":[120],"pivotal":[121],"factors":[122],"that":[123,177],"affect":[124],"accuracy":[126,154],"gradients:":[129],"completeness":[130],"timeliness.":[132],"further":[134],"enhance":[135],"performance":[137,182],"leveraging":[141],"these":[142,186],"findings,":[143],"propose":[145],"(STOL),":[149],"substantially":[151],"ameliorates":[152],"gradients":[158],"demonstrates":[160],"superior":[161],"efficiency.":[165],"Our":[166],"experiments":[167],"on":[168],"CIFAR-10,":[169],"CIFAR-100,":[170],"ImageNet,":[171],"CIFAR10-DVS,":[172],"DVS128-Gesture":[174],"datasets":[175],"demonstrate":[176],"our":[178],"method":[179],"achieves":[180],"state-of-the-art":[181],"across":[183],"most":[184],"tasks.":[187],"Besides,":[188],"shows":[190],"great":[192],"improvement":[193],"compared":[194],"with":[195],"existing":[196],"algorithms.":[199]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
