{"id":"https://openalex.org/W4385732136","doi":"https://doi.org/10.1109/tcsi.2023.3301020","title":"An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks","display_name":"An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks","publication_year":2023,"publication_date":"2023-08-10","ids":{"openalex":"https://openalex.org/W4385732136","doi":"https://doi.org/10.1109/tcsi.2023.3301020"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2023.3301020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2023.3301020","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 Circuits and Systems I: Regular Papers","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/A5086283949","display_name":"Hritom Das","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":"Hritom Das","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0000-0003-2548-8754","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067558566","display_name":"Rocco Febbo","orcid":"https://orcid.org/0009-0009-9896-5890"},"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":"Rocco D. Febbo","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005972758","display_name":"Sree Nirmillo Biswash Tushar","orcid":"https://orcid.org/0009-0007-4723-6757"},"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":"S. N. B. Tushar","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054276126","display_name":"Nishith N. Chakraborty","orcid":"https://orcid.org/0009-0003-0287-0042"},"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":"Nishith N. Chakraborty","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059526101","display_name":"Maximilian Liehr","orcid":"https://orcid.org/0000-0002-3945-6422"},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maximilian Liehr","raw_affiliation_strings":["Department of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY, USA","institution_ids":["https://openalex.org/I90965887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046312510","display_name":"Nathaniel C. Cady","orcid":"https://orcid.org/0000-0003-4345-3627"},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel C. Cady","raw_affiliation_strings":["Department of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-4345-3627","affiliations":[{"raw_affiliation_string":"Department of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY, USA","institution_ids":["https://openalex.org/I90965887"]}]},{"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":["Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0000-0003-3070-4087","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.436,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89379647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"70","issue":"12","first_page":"4804","last_page":"4815"},"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/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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9977999925613403,"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":0.6021995544433594},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5407898426055908},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5142523646354675},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.4246782958507538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3653823733329773},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3455660343170166},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.22123366594314575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13846293091773987},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13301527500152588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6021995544433594},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5407898426055908},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5142523646354675},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.4246782958507538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3653823733329773},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3455660343170166},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.22123366594314575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13846293091773987},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13301527500152588}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsi.2023.3301020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2023.3301020","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 Circuits and Systems I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5110559295","display_name":null,"funder_award_id":"FA8750-21-1-1018","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"},{"id":"https://openalex.org/G7667176970","display_name":null,"funder_award_id":"FA8750-21-1-1019","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":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2013656496","https://openalex.org/W2021383442","https://openalex.org/W2118803816","https://openalex.org/W2162651880","https://openalex.org/W2171865010","https://openalex.org/W2399958287","https://openalex.org/W2402807508","https://openalex.org/W2512264695","https://openalex.org/W2546478245","https://openalex.org/W2600228005","https://openalex.org/W2782791387","https://openalex.org/W2795127895","https://openalex.org/W2801055138","https://openalex.org/W2809261999","https://openalex.org/W2887258823","https://openalex.org/W2890613163","https://openalex.org/W2893679901","https://openalex.org/W2904299207","https://openalex.org/W2906916807","https://openalex.org/W2923885230","https://openalex.org/W2966878541","https://openalex.org/W2967433097","https://openalex.org/W2982814561","https://openalex.org/W3013080934","https://openalex.org/W3047705312","https://openalex.org/W3120740533","https://openalex.org/W3157048835","https://openalex.org/W3158997543","https://openalex.org/W3163059868","https://openalex.org/W3164474614","https://openalex.org/W3207043197","https://openalex.org/W3215759301","https://openalex.org/W4225683040","https://openalex.org/W4281625068","https://openalex.org/W4283656811","https://openalex.org/W4289823056","https://openalex.org/W4292862177","https://openalex.org/W4312124298","https://openalex.org/W4312865463","https://openalex.org/W4378801076","https://openalex.org/W4386453658"],"related_works":["https://openalex.org/W4229452466","https://openalex.org/W2966276069","https://openalex.org/W2304829496","https://openalex.org/W2358307108","https://openalex.org/W3031124155","https://openalex.org/W2463286374","https://openalex.org/W2052332160","https://openalex.org/W2204001882","https://openalex.org/W190448578","https://openalex.org/W2377121108"],"abstract_inverted_index":{"Memristors":[0,114],"provide":[1],"a":[2,44,49,126,184],"tempting":[3],"solution":[4,46],"for":[5,116,147],"weighted":[6],"synapse":[7],"connections":[8],"in":[9,23,105,125],"neuromorphic":[10],"computing":[11],"due":[12],"to":[13,35,73,85,161],"their":[14],"size":[15],"and":[16,30,57,107,122,143,153,166],"non-volatile":[17],"nature.":[18],"However,":[19],"memristors":[20],"are":[21,118],"unreliable":[22],"the":[24,74,86,102,108,140,144,148,174],"commonly":[25],"used":[26,115],"voltage-pulse-based":[27],"programming":[28,37,165],"approaches":[29],"require":[31],"precisely":[32],"shaped":[33],"pulses":[34],"avoid":[36],"failure.":[38],"In":[39],"this":[40,177],"paper,":[41],"we":[42],"demonstrate":[43],"current-limiting-based":[45],"that":[47],"provides":[48],"more":[50],"predictable":[51],"analog":[52],"memory":[53],"behavior":[54,111,178],"when":[55],"reading":[56],"writing":[58,149],"memristive":[59],"synapses.":[60],"With":[61],"our":[62,78],"proposed":[63,79,133],"design":[64,80,91,134],"READ":[65],"current":[66,167],"can":[67],"be":[68],"optimized":[69],"by":[70,101],"~19x":[71],"compared":[72,84],"1T1R":[75,87],"design.":[76,88],"Moreover,":[77],"saves":[81],"~9x":[82],"energy":[83],"Our":[89],"3T1R":[90],"also":[92,135],"shows":[93,136],"promising":[94],"write":[95],"operation":[96],"which":[97],"is":[98],"less":[99],"affected":[100],"process":[103],"variation":[104],"MOSFETs":[106],"inherent":[109],"stochastic":[110],"of":[112,176],"memristors.":[113],"testing":[117],"hafnium":[119],"oxide":[120],"based":[121,164,169],"were":[123],"fabricated":[124],"65":[127],"nm":[128],"hybrid":[129],"CMOS-memristor":[130],"process.":[131],"The":[132,151],"linear":[137],"characteristics":[138],"between":[139],"voltage":[141,162],"applied":[142],"resulting":[145],"resistance":[146],"operation.":[150],"simulation":[152],"measured":[154],"data":[155],"show":[156],"similar":[157],"patterns":[158],"with":[159],"respect":[160],"pulse":[163],"compliance":[168],"programming.":[170],"We":[171],"further":[172],"observed":[173],"impact":[175],"on":[179],"neuromorphic-specific":[180],"applications":[181],"such":[182],"as":[183],"spiking":[185],"neural":[186],"network.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2023-08-11T00:00:00"}
