{"id":"https://openalex.org/W3029160061","doi":"https://doi.org/10.1145/3380969","title":"Device-aware Circuit Design for Robust Memristive Neuromorphic Systems with STDP-based Learning","display_name":"Device-aware Circuit Design for Robust Memristive Neuromorphic Systems with STDP-based Learning","publication_year":2020,"publication_date":"2020-05-22","ids":{"openalex":"https://openalex.org/W3029160061","doi":"https://doi.org/10.1145/3380969","mag":"3029160061"},"language":"en","primary_location":{"id":"doi:10.1145/3380969","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3380969","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3380969","source":{"id":"https://openalex.org/S96198239","display_name":"ACM Journal on Emerging Technologies in Computing Systems","issn_l":"1550-4832","issn":["1550-4832","1550-4840"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Emerging Technologies in Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3380969","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030312318","display_name":"Sagarvarma Sayyaparaju","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sagarvarma Sayyaparaju","raw_affiliation_strings":["University of Tennessee, Knoxville, Knoxville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville, Knoxville, Tennessee, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071645986","display_name":"Md Musabbir Adnan","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Musabbir Adnan","raw_affiliation_strings":["University of Tennessee, Knoxville, Knoxville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville, Knoxville, Tennessee, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073702088","display_name":"Sherif Amer","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sherif Amer","raw_affiliation_strings":["University of Tennessee, Knoxville, Knoxville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville, Knoxville, Tennessee, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047248181","display_name":"Garrett S. Rose","orcid":"https://orcid.org/0000-0003-3070-4087"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Garrett S. Rose","raw_affiliation_strings":["University of Tennessee, Knoxville, Knoxville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville, Knoxville, Tennessee, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5203,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64517473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"25"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9976999759674072,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.90189528465271},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.894096851348877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.610905110836029},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5046399831771851},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.4730719029903412},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4652221202850342},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.43748152256011963},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3734963834285736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33535850048065186},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19957110285758972}],"concepts":[{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.90189528465271},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.894096851348877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610905110836029},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5046399831771851},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.4730719029903412},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4652221202850342},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.43748152256011963},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3734963834285736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33535850048065186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19957110285758972},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C25274449","wikidata":"https://www.wikidata.org/wiki/Q1805481","display_name":"Long-term potentiation","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3380969","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3380969","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3380969","source":{"id":"https://openalex.org/S96198239","display_name":"ACM Journal on Emerging Technologies in Computing Systems","issn_l":"1550-4832","issn":["1550-4832","1550-4840"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Emerging Technologies in Computing Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3380969","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3380969","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3380969","source":{"id":"https://openalex.org/S96198239","display_name":"ACM Journal on Emerging Technologies in Computing Systems","issn_l":"1550-4832","issn":["1550-4832","1550-4840"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Emerging Technologies in Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G2754797750","display_name":null,"funder_award_id":"FA8750-19-1-0025","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3029160061.pdf","grobid_xml":"https://content.openalex.org/works/W3029160061.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1537747164","https://openalex.org/W1944085573","https://openalex.org/W1982449228","https://openalex.org/W1986389668","https://openalex.org/W1988962975","https://openalex.org/W1990306796","https://openalex.org/W1990404128","https://openalex.org/W2016922062","https://openalex.org/W2018068167","https://openalex.org/W2023698363","https://openalex.org/W2028868915","https://openalex.org/W2038166313","https://openalex.org/W2045614943","https://openalex.org/W2057805196","https://openalex.org/W2080625874","https://openalex.org/W2085332361","https://openalex.org/W2092618119","https://openalex.org/W2101834447","https://openalex.org/W2118279007","https://openalex.org/W2125701019","https://openalex.org/W2132563832","https://openalex.org/W2155954834","https://openalex.org/W2156640153","https://openalex.org/W2156689132","https://openalex.org/W2157335309","https://openalex.org/W2158959564","https://openalex.org/W2162651880","https://openalex.org/W2400475751","https://openalex.org/W2518320872","https://openalex.org/W2527193322","https://openalex.org/W2532666972","https://openalex.org/W2545405476","https://openalex.org/W2562620981","https://openalex.org/W2592017964","https://openalex.org/W2613205562","https://openalex.org/W2623410569","https://openalex.org/W2768519025","https://openalex.org/W2804915862","https://openalex.org/W2807750997","https://openalex.org/W2883260950","https://openalex.org/W2884096268","https://openalex.org/W2902404732","https://openalex.org/W3100443344"],"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/W1940420793","https://openalex.org/W3215957123"],"abstract_inverted_index":{"In":[0],"the":[1,16,39,106,123,130,157,165,172,178,189],"past":[2],"decade,":[3],"complementary":[4],"metal":[5],"oxide":[6],"semiconductor-memristor":[7],"hybrid":[8],"neuromorphic":[9],"systems":[10],"have":[11],"gained":[12],"importance":[13],"owing":[14],"to":[15,48,152],"advantages":[17],"of":[18,81,177],"memristors":[19,82],"such":[20,50,121,135],"as":[21,136],"nano-scale":[22],"size,":[23],"non-volatility,":[24],"and":[25,74,144,160,174,183],"low-power":[26],"operation.":[27],"However,":[28],"they":[29],"are":[30,90,150,181],"often":[31],"accompanied":[32],"by":[33],"non-ideal":[34],"properties":[35],"that":[36,122,164],"can":[37,75,168],"impact":[38],"system\u2019s":[40],"performance.":[41],"This":[42],"article":[43],"presents":[44],"device-aware":[45],"circuit":[46,102],"design":[47],"mitigate":[49,169],"effects.":[51],"A":[52,63,99,109],"bi-memristor":[53],"synapse":[54],"with":[55,78],"a":[56,79,85,115],"robust":[57],"spike-timing-dependent":[58],"plasticity":[59],"(STDP)":[60],"is":[61,66,71,103,119,126,162],"designed.":[62],"mixed-mode":[64],"neuron":[65],"presented":[67,104],"whose":[68],"accumulation":[69],"rate":[70,125],"tunable":[72],"on-chip":[73],"be":[76],"used":[77],"variety":[80],"without":[83],"needing":[84],"re-design.":[86],"The":[87],"proposed":[88,166,179],"designs":[89,180],"employed":[91],"together":[92],"in":[93,188],"an":[94],"example":[95],"pattern":[96,110],"recognition":[97,111,124],"system.":[98],"scalable":[100],"winner-takes-all":[101],"for":[105],"output":[107],"stage.":[108],"task":[112],"based":[113],"on":[114,129],"simple":[116],"STDP-based":[117],"learning":[118,155],"demonstrated":[120,163],"directly":[127],"dependent":[128],"learnt":[131],"weights.":[132],"Device-level":[133],"issues":[134],"switching":[137,141],"speed/threshold":[138],"asymmetry,":[139],"limited":[140],"resolution,":[142],"endurance,":[143],"varying":[145],"resistance":[146],"range":[147],"(across":[148],"devices)":[149],"shown":[151],"adversely":[153],"affect":[154],"at":[156],"system":[158],"level":[159],"it":[161],"circuits":[167],"them.":[170],"Last,":[171],"area":[173],"energy":[175],"costs":[176],"evaluated":[182],"compared":[184],"against":[185],"other":[186],"implementations":[187],"literature.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}