{"id":"https://openalex.org/W2943383576","doi":"https://doi.org/10.1109/access.2019.2914424","title":"Intrinsic Plasticity Based Inference Acceleration for Spiking Multi-Layer Perceptron","display_name":"Intrinsic Plasticity Based Inference Acceleration for Spiking Multi-Layer Perceptron","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2943383576","doi":"https://doi.org/10.1109/access.2019.2914424","mag":"2943383576"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2914424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08704284.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08704284.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001724646","display_name":"Shuxun Zhang","orcid":"https://orcid.org/0000-0001-6517-9791"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxun Zhang","raw_affiliation_strings":["The Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0001-6517-9791","affiliations":[{"raw_affiliation_string":"The Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026654173","display_name":"Anguo Zhang","orcid":"https://orcid.org/0000-0002-4825-7054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anguo Zhang","raw_affiliation_strings":["Research Institute of Ruijie, Ruijie Networks Co., Ltd., Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4825-7054","affiliations":[{"raw_affiliation_string":"Research Institute of Ruijie, Ruijie Networks Co., Ltd., Fuzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104955672","display_name":"Yupeng Ma","orcid":"https://orcid.org/0009-0005-7010-4272"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Ma","raw_affiliation_strings":["The Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101589681","display_name":"Wei Zhu","orcid":"https://orcid.org/0000-0002-5966-9206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Zhu","raw_affiliation_strings":["Research Institute of Ruijie, Ruijie Networks Co., Ltd., Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Ruijie, Ruijie Networks Co., Ltd., Fuzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.4735,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61926532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"73685","last_page":"73693"},"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":0.9994000196456909,"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":0.9993000030517578,"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":0.7541303634643555},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6451670527458191},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5865272283554077},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5019445419311523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4720279276371002},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.4684002101421356},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46191075444221497},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.4451886713504791},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.41690725088119507},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4100944399833679},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.21290838718414307},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0827665627002716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541303634643555},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6451670527458191},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5865272283554077},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5019445419311523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4720279276371002},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.4684002101421356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46191075444221497},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.4451886713504791},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.41690725088119507},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4100944399833679},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.21290838718414307},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0827665627002716},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2914424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08704284.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ab1dd272ffa8480ebcb26820817fbb1a","is_oa":true,"landing_page_url":"https://doaj.org/article/ab1dd272ffa8480ebcb26820817fbb1a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 73685-73693 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2914424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08704284.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943383576.pdf","grobid_xml":"https://content.openalex.org/works/W2943383576.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W345956458","https://openalex.org/W1482683088","https://openalex.org/W1512746852","https://openalex.org/W1645800954","https://openalex.org/W1665214252","https://openalex.org/W1671713856","https://openalex.org/W1982085865","https://openalex.org/W1987299193","https://openalex.org/W1987946540","https://openalex.org/W2008008156","https://openalex.org/W2020676607","https://openalex.org/W2060281471","https://openalex.org/W2076964542","https://openalex.org/W2080772708","https://openalex.org/W2089947415","https://openalex.org/W2103769608","https://openalex.org/W2112796928","https://openalex.org/W2132424367","https://openalex.org/W2136040261","https://openalex.org/W2140153249","https://openalex.org/W2151994118","https://openalex.org/W2159432583","https://openalex.org/W2260550436","https://openalex.org/W2296621002","https://openalex.org/W2309400744","https://openalex.org/W2404427863","https://openalex.org/W2775079417","https://openalex.org/W2884154926","https://openalex.org/W2906411185","https://openalex.org/W2911930496","https://openalex.org/W3103922978","https://openalex.org/W3124456579","https://openalex.org/W4238614602","https://openalex.org/W6637242042","https://openalex.org/W6753419053"],"related_works":["https://openalex.org/W2122216001","https://openalex.org/W2023492997","https://openalex.org/W2013860114","https://openalex.org/W3178259930","https://openalex.org/W1769982787","https://openalex.org/W4226102537","https://openalex.org/W3184949856","https://openalex.org/W1504796302","https://openalex.org/W4386441857","https://openalex.org/W3035839890"],"abstract_inverted_index":{"Intrinsic":[0],"plasticity":[1],"(IP)":[2],"mechanism":[3,51,105],"was":[4,19,106],"originally":[5],"found":[6],"in":[7,41,64],"the":[8,23,33,42,48,71,85,103,109,124,129,133],"biological":[9],"neuron":[10,62,76,111],"as":[11],"a":[12,65,75,89],"membrane":[13],"potential":[14],"adaptive":[15],"tuning":[16,84],"scheme,":[17],"which":[18],"used":[20],"to":[21,35,57,108],"change":[22],"connection":[24],"strength":[25],"between":[26],"neurons,":[27],"so":[28],"that":[29,121],"animal":[30],"brain":[31],"had":[32],"ability":[34,59],"learn":[36],"or":[37,80],"store":[38],"memory.":[39],"Recently,":[40],"field":[43],"of":[44,60,74,88,135],"artificial":[45],"neural":[46],"networks,":[47],"bio-inspired":[49],"IP":[50,104],"attracts":[52],"increasingly":[53],"research":[54],"attention":[55],"due":[56],"its":[58],"regulating":[61],"activity":[63],"relative":[66],"homeostatic":[67],"level":[68],"even":[69],"if":[70],"external":[72],"input":[73],"is":[77],"extremely":[78,81],"low":[79],"high":[82],"and":[83,132],"probability":[86],"density":[87],"neuron's":[90],"output":[91],"toward":[92],"an":[93],"exponential":[94],"distribution,":[95],"thereby":[96],"realizing":[97],"information":[98],"maximization.":[99],"In":[100],"this":[101],"paper,":[102],"applied":[107],"spiking":[110],"model-based":[112],"multi-layer":[113],"perceptrons":[114],"(Spiking":[115],"MLPs).":[116],"The":[117],"experiment":[118],"results":[119],"showed":[120],"compared":[122],"with":[123],"networks":[125],"without":[126],"IP,":[127],"both":[128],"convergence":[130],"speed":[131],"robustness":[134],"computation":[136],"accuracy":[137],"were":[138],"effectively":[139],"improved.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
