{"id":"https://openalex.org/W4394595737","doi":"https://doi.org/10.1109/tbcas.2024.3385235","title":"SC-PLR: An Approximate Spiking Neural Network Accelerator With On-Chip Predictive Learning Rule","display_name":"SC-PLR: An Approximate Spiking Neural Network Accelerator With On-Chip Predictive Learning Rule","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394595737","doi":"https://doi.org/10.1109/tbcas.2024.3385235"},"language":"en","primary_location":{"id":"doi:10.1109/tbcas.2024.3385235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2024.3385235","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"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 Circuits and Systems","raw_type":"journal-article"},"type":"article","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/A5114734485","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-8906-6636"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079537451","display_name":"Shanlin Xiao","orcid":"https://orcid.org/0000-0002-1250-8704"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanlin Xiao","raw_affiliation_strings":["School of Microelectronics Science and Technology, Guangdong Provincial Key Laboratory, Optoelectronic Information Processing Chips and Systems, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics Science and Technology, Guangdong Provincial Key Laboratory, Optoelectronic Information Processing Chips and Systems, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114734399","display_name":"Yue Liu","orcid":"https://orcid.org/0009-0003-6887-8282"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017560036","display_name":"Zhiyi Yu","orcid":"https://orcid.org/0000-0002-8802-0457"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyi Yu","raw_affiliation_strings":["School of Microelectronics Science and Technology, Guangdong Provincial Key Laboratory, Optoelectronic Information Processing Chips and Systems, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics Science and Technology, Guangdong Provincial Key Laboratory, Optoelectronic Information Processing Chips and Systems, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114734485"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.5256,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82110538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"18","issue":"5","first_page":"1156","last_page":"1165"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9970999956130981,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.6385167837142944},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5653334259986877},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5497572422027588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4947051703929901},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4683836102485657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4329891800880432},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3384769856929779},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10195410251617432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385167837142944},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5653334259986877},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5497572422027588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4947051703929901},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4683836102485657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4329891800880432},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3384769856929779},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10195410251617432}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbcas.2024.3385235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2024.3385235","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"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 Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G691677441","display_name":null,"funder_award_id":"62334014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1486852018","https://openalex.org/W1509235676","https://openalex.org/W1968016286","https://openalex.org/W1968964934","https://openalex.org/W1975412204","https://openalex.org/W1983485726","https://openalex.org/W2003958121","https://openalex.org/W2032548797","https://openalex.org/W2074965724","https://openalex.org/W2076964542","https://openalex.org/W2119885245","https://openalex.org/W2132563832","https://openalex.org/W2151770284","https://openalex.org/W2163630896","https://openalex.org/W2271902036","https://openalex.org/W2320899008","https://openalex.org/W2512481274","https://openalex.org/W2528596247","https://openalex.org/W2548021123","https://openalex.org/W2563740559","https://openalex.org/W2612662066","https://openalex.org/W2745933219","https://openalex.org/W2794061657","https://openalex.org/W2898208057","https://openalex.org/W2904922094","https://openalex.org/W2906048113","https://openalex.org/W2921131065","https://openalex.org/W2998095164","https://openalex.org/W2998986365","https://openalex.org/W3011858778","https://openalex.org/W3028332918","https://openalex.org/W3047774572","https://openalex.org/W3091076647","https://openalex.org/W3134747453","https://openalex.org/W3158708505","https://openalex.org/W3159734256","https://openalex.org/W3163980145","https://openalex.org/W3175305028","https://openalex.org/W3192731575","https://openalex.org/W3202272897","https://openalex.org/W3212049189","https://openalex.org/W4210575217","https://openalex.org/W4220741568","https://openalex.org/W4223904523","https://openalex.org/W4224313179","https://openalex.org/W4280599152","https://openalex.org/W4284973893","https://openalex.org/W4293054325","https://openalex.org/W4300223384","https://openalex.org/W4307721869","https://openalex.org/W4317796237","https://openalex.org/W4386027963","https://openalex.org/W4386223573","https://openalex.org/W4388709727","https://openalex.org/W4391341605","https://openalex.org/W6739201545","https://openalex.org/W6855415620"],"related_works":["https://openalex.org/W3126544799","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/W4387877594","https://openalex.org/W2403181385","https://openalex.org/W4213353724"],"abstract_inverted_index":{"The":[0,31,204],"brain\u2019s":[1],"ability":[2],"to":[3,17,56,99,102,120],"anticipate":[4,107],"future":[5,108],"events":[6,109],"is":[7,34,80,118,206],"crucial":[8],"for":[9,50],"intelligent":[10],"behavior.":[11],"However,":[12],"when":[13],"deploying":[14],"the":[15,35,86,92,122,152],"capability":[16],"edge":[18],"devices,":[19],"there":[20],"are":[21,97],"huge":[22],"challenges":[23],"in":[24,85,141,161],"terms":[25,162],"of":[26,94,163],"resources":[27,164],"and":[28,54,106,127,138,143,165,183,189],"power":[29,166,190],"consumption.":[30,167],"main":[32],"obstacle":[33],"state-of-the-art":[36],"neuromorphic":[37],"hardware":[38,123],"with":[39,73,110],"Spike":[40],"Timing":[41],"Dependent":[42],"Plasticity":[43],"(STDP)":[44],"learning":[45],"rule":[46],"requires":[47],"significant":[48,172],"computation":[49],"synaptic":[51,59,112],"weight":[52,113],"updates":[53],"memory":[55],"store":[57],"intermediate":[58],"weights.":[60],"In":[61,90],"this":[62],"paper,":[63],"we":[64],"proposed":[65,153],"an":[66],"approximate":[67],"Spiking":[68],"Neural":[69],"Network":[70],"(SNN)":[71],"accelerator":[72],"on-chip":[74],"Predictive":[75],"Learning":[76],"Rule":[77],"(PLR),":[78],"which":[79],"a":[81],"biological":[82],"behavior":[83,140],"observed":[84],"brain,":[87],"named":[88],"SC-PLR.":[89],"SC-PLR,":[91],"principles":[93],"predictive":[95],"processing":[96],"extended":[98],"enable":[100,136],"neurons":[101],"learn":[103],"temporal":[104],"sequences":[105],"minimum":[111],"updates,":[114],"while":[115],"stochastic":[116],"computing":[117],"leveraged":[119],"balance":[121],"cost,":[124],"energy":[125],"efficiency,":[126],"accuracy.":[128],"Simulation":[129],"results":[130,149],"demonstrate":[131],"that":[132,151],"PLR-based":[133],"SNNs":[134],"effectively":[135],"adaptive":[137],"anticipatory":[139],"robotics":[142],"decision-making":[144],"scenarios.":[145],"Additionally,":[146],"FPGA":[147],"implementation":[148],"show":[150],"SC-PLR":[154],"outperforms":[155],"stateof-":[156],"the-art":[157],"STDP-based":[158],"SNN":[159],"designs":[160],"Specifically,":[168],"our":[169],"design":[170],"achieves":[171],"resource":[173],"savings,":[174],"including":[175],"77.3%":[176],"Look-Up":[177],"Table":[178],"(LUT),":[179],"79.4%":[180],"Flip-Flop":[181],"(FF),":[182],"56.4%":[184],"Block":[185],"RAM":[186],"(BRAM)":[187],"resources,":[188],"consumption":[191],"reduction":[192],"by":[193],"32%.":[194],"<xref":[195],"ref-type=\"fn\"":[196],"rid=\"fn1\"":[197],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[198,202],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><sup>1</sup></xref>":[199],"<fn":[200],"id=\"fn1\"":[201],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><label><sup>1</sup></label>":[203],"code":[205],"available":[207],"at":[208],"<uri>https://github.com/lucy-weizi/SC-PLR</uri>.":[209],"</fn>":[210]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
