{"id":"https://openalex.org/W3108550376","doi":"https://doi.org/10.1109/tcds.2020.3041610","title":"Intrinsic Plasticity for Online Unsupervised Learning Based on Soft-Reset Spiking Neuron Model","display_name":"Intrinsic Plasticity for Online Unsupervised Learning Based on Soft-Reset Spiking Neuron Model","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3108550376","doi":"https://doi.org/10.1109/tcds.2020.3041610","mag":"3108550376"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2020.3041610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.3041610","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental 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/A5026654173","display_name":"Anguo Zhang","orcid":"https://orcid.org/0000-0002-4825-7054"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anguo Zhang","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","Key Laboratory of Medical Instrumentation and Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, China","Research Institute of Ruijie, Ruijie Networks Company Ltd., Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Medical Instrumentation and Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Research Institute of Ruijie, Ruijie Networks Company Ltd., Fuzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008053134","display_name":"Yueming Gao","orcid":"https://orcid.org/0000-0002-0197-6043"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueming Gao","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","Key Laboratory of Medical Instrumentation and Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Medical Instrumentation and Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066931530","display_name":"Yuzhen Niu","orcid":"https://orcid.org/0000-0002-9874-9719"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhen Niu","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652988","display_name":"Xiumin Li","orcid":"https://orcid.org/0000-0002-2398-4757"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiumin Li","raw_affiliation_strings":["College of Automation, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371384","display_name":"Qing Chen","orcid":"https://orcid.org/0000-0003-4471-9714"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Chen","raw_affiliation_strings":["College of Automation, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026654173"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.7258,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.71333036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"2","first_page":"337","last_page":"347"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9995999932289124,"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":0.7974551916122437},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6235044598579407},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.586398184299469},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.5202633142471313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4817045331001282},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.4605265259742737},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36625033617019653},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3645888864994049},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.17791208624839783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7974551916122437},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6235044598579407},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.586398184299469},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.5202633142471313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4817045331001282},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.4605265259742737},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36625033617019653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3645888864994049},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.17791208624839783},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2020.3041610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.3041610","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1240672212","display_name":null,"funder_award_id":"U1505251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2242318769","display_name":null,"funder_award_id":"2018I0011","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"},{"id":"https://openalex.org/G3343246549","display_name":null,"funder_award_id":"2016YFE0122700","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G725298673","display_name":null,"funder_award_id":"61672158","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"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320323190","display_name":"Fujian Provincial Department of Science and Technology","ror":"https://ror.org/00rgzpv08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1482683088","https://openalex.org/W1645800954","https://openalex.org/W1686810756","https://openalex.org/W1976362152","https://openalex.org/W2000619933","https://openalex.org/W2008008156","https://openalex.org/W2020676607","https://openalex.org/W2058918256","https://openalex.org/W2060281471","https://openalex.org/W2066563704","https://openalex.org/W2072016696","https://openalex.org/W2103179919","https://openalex.org/W2103769608","https://openalex.org/W2109214063","https://openalex.org/W2136040261","https://openalex.org/W2137350641","https://openalex.org/W2164653071","https://openalex.org/W2335728318","https://openalex.org/W2340897893","https://openalex.org/W2521023735","https://openalex.org/W2547386190","https://openalex.org/W2618892265","https://openalex.org/W2750384547","https://openalex.org/W2759688498","https://openalex.org/W2890790768","https://openalex.org/W2913412265","https://openalex.org/W2964901405","https://openalex.org/W3118608800","https://openalex.org/W6703116779","https://openalex.org/W6737920364","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2944910788","https://openalex.org/W2998073245","https://openalex.org/W3007981140","https://openalex.org/W3126544799","https://openalex.org/W2736237086","https://openalex.org/W2942803402","https://openalex.org/W2088600489","https://openalex.org/W4283688984","https://openalex.org/W3201928939","https://openalex.org/W4283692267"],"abstract_inverted_index":{"Intrinsic":[0],"plasticity":[1],"(IP)":[2],"is":[3,106],"an":[4,122],"unsupervised,":[5],"self-adaptive,":[6],"local":[7],"learning":[8,56],"rule":[9,57,114,140,161],"that":[10,58,100,157],"was":[11],"first":[12],"found":[13],"in":[14,170],"biological":[15],"nerve":[16],"cells,":[17],"and":[18,148,178],"has":[19],"been":[20],"shown":[21],"to":[22,25,65,85,126,129],"be":[23,66],"able":[24],"maximize":[26,86,130],"neuronal":[27,61,103],"information":[28,132],"transmission":[29],"entropy.":[30,133],"In":[31,90],"this":[32],"article,":[33],"we":[34],"propose":[35],"a":[36,42,53],"soft-reset":[37,94],"leaky":[38],"integrate-and-fire":[39],"(LIF)":[40],"model,":[41],"spiking":[43,76,146,149,165,175],"neuron":[44,77],"model":[45,95],"based":[46],"on":[47,144],"widely":[48],"used":[49,73],"LIF":[50,102],"neurons,":[51],"with":[52],"new":[54],"IP":[55,113,139,160],"optimizes":[59],"the":[60,82,92,98,111,118,137,145,158],"membrane":[62,104,119],"potential":[63,105,120],"state":[64],"exponentially":[67],"distributed.":[68],"Previous":[69],"studies":[70],"have":[71],"generally":[72],"such":[74],"as":[75,81,121],"expected":[78],"firing":[79],"rate":[80],"target":[83],"variable":[84],"output":[87],"spike":[88],"distribution.":[89],"contrast,":[91],"proposed":[93,112,138,159],"can":[96,115,162],"avoid":[97],"problem":[99],"conventional":[101],"not":[107],"fully":[108],"differentiable,":[109],"hence":[110],"directly":[116],"regulate":[117],"auxiliary":[123],"\u201coutput":[124],"signal\u201d":[125],"desired":[127],"distribution":[128],"its":[131],"We":[134],"experimentally":[135],"evaluated":[136],"for":[141],"pattern":[142],"recognition":[143],"feed-forward":[147],"convolutional":[150],"neural":[151,166],"network":[152,167],"models.":[153],"Experimental":[154],"results":[155],"verified":[156],"effectively":[163],"improve":[164],"computational":[168],"performance":[169],"terms":[171],"of":[172],"classification":[173],"accuracy,":[174],"inference":[176],"speed,":[177],"noise":[179],"robustness.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
