{"id":"https://openalex.org/W3157846143","doi":"https://doi.org/10.1109/iscas51556.2021.9401644","title":"1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity","display_name":"1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity","publication_year":2021,"publication_date":"2021-04-27","ids":{"openalex":"https://openalex.org/W3157846143","doi":"https://doi.org/10.1109/iscas51556.2021.9401644","mag":"3157846143"},"language":"en","primary_location":{"id":"doi:10.1109/iscas51556.2021.9401644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-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/A5007962593","display_name":"Brady Taylor","orcid":"https://orcid.org/0000-0003-2032-0960"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brady Taylor","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053617387","display_name":"Amar Shrestha","orcid":"https://orcid.org/0000-0002-5988-0466"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amar Shrestha","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018468480","display_name":"Qinru Qiu","orcid":"https://orcid.org/0000-0003-2546-0655"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinru Qiu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429403","display_name":"Hai Li","orcid":"https://orcid.org/0000-0003-3228-6544"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007962593"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":0.2005,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48855668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/spike","display_name":"Spike (software development)","score":0.8003334999084473},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.7884478569030762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949875950813293},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.6425695419311523},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.6090950965881348},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5779972076416016},{"id":"https://openalex.org/keywords/synapse","display_name":"Synapse","score":0.4580878019332886},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.45445963740348816},{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.4417167603969574},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43766507506370544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35466617345809937},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33521974086761475},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.27448299527168274},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2043343186378479},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19692766666412354},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1685139238834381},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10688546299934387}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.8003334999084473},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.7884478569030762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949875950813293},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.6425695419311523},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.6090950965881348},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5779972076416016},{"id":"https://openalex.org/C127445978","wikidata":"https://www.wikidata.org/wiki/Q187181","display_name":"Synapse","level":2,"score":0.4580878019332886},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.45445963740348816},{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.4417167603969574},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43766507506370544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35466617345809937},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33521974086761475},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.27448299527168274},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2043343186378479},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19692766666412354},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1685139238834381},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10688546299934387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas51556.2021.9401644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W59997565","https://openalex.org/W2015284628","https://openalex.org/W2016922062","https://openalex.org/W2045614943","https://openalex.org/W2131763976","https://openalex.org/W2138913040","https://openalex.org/W2147101007","https://openalex.org/W2160361560","https://openalex.org/W2526646482","https://openalex.org/W2752167158","https://openalex.org/W2783525259","https://openalex.org/W2972809290","https://openalex.org/W3092108775","https://openalex.org/W6602394311"],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W4292697011","https://openalex.org/W3207218810","https://openalex.org/W3212508523","https://openalex.org/W1995352804","https://openalex.org/W2086672837","https://openalex.org/W2909534142","https://openalex.org/W4367187682","https://openalex.org/W3215957123","https://openalex.org/W1940420793"],"abstract_inverted_index":{"Spike-timing-dependent":[0],"plasticity":[1,41],"(STDP)":[2],"is":[3],"emerging":[4],"as":[5,25,57],"a":[6,26,110],"simple":[7],"and":[8,13,120,140],"biologically-plausible":[9],"approach":[10],"to":[11,131,138],"learning,":[12,114],"specialized":[14],"digital":[15,31],"implementations":[16,36],"are":[17,59,99,135],"readily":[18],"available.":[19],"Memristor":[20],"technology":[21,119],"has":[22,72],"been":[23],"embraced":[24],"much":[27],"denser":[28],"solution":[29],"than":[30],"static":[32],"random-access":[33],"memory":[34],"(SRAM)":[35],"of":[37,47,61,77,83,93],"STDP":[38],"synapses,":[39,80],"with":[40],"capabilities":[42],"built":[43],"into":[44],"the":[45,62,75,91,128],"physics":[46],"these":[48],"devices.":[49],"One-selector-one-memristor":[50],"(1S1R)":[51],"arrays":[52],"using":[53,66],"volatile":[54],"memristor":[55],"devices":[56],"selectors":[58],"capable":[60],"desired":[63],"synaptic":[64],"behavior":[65],"efficient":[67,122],"spike-events,":[68],"but":[69],"previous":[70],"literature":[71],"only":[73],"explored":[74],"dynamics":[76,130],"single":[78,86],"1S1R":[79,118],"or":[81],"groups":[82],"synapses":[84],"for":[85,112,116],"neurons.":[87],"When":[88],"placed":[89],"in":[90],"context":[92],"an":[94],"SNN,":[95],"unintentional":[96],"synapse":[97],"disturbances":[98],"revealed":[100],"that":[101,134],"must":[102],"be":[103],"addressed.":[104],"We":[105],"present":[106],"<sup":[107],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[108],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[109],"technique":[111,126],"STDP-based":[113],"enabled":[115],"dense":[117],"utilizing":[121],"single-spike":[123],"encoding.":[124],"This":[125],"leverages":[127],"array's":[129],"produce":[132],"models":[133],"stable,":[136],"resilient":[137],"noise,":[139],"power-efficient.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}