{"id":"https://openalex.org/W2900722538","doi":"https://doi.org/10.1142/s0218126619502013","title":"Programming of Memristive Artificial Synaptic Crossbar Network Using PWM Techniques","display_name":"Programming of Memristive Artificial Synaptic Crossbar Network Using PWM Techniques","publication_year":2018,"publication_date":"2018-11-23","ids":{"openalex":"https://openalex.org/W2900722538","doi":"https://doi.org/10.1142/s0218126619502013","mag":"2900722538"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126619502013","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126619502013","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5082552659","display_name":"P. Michael Preetam Raj","orcid":"https://orcid.org/0000-0002-2895-4944"},"institutions":[{"id":"https://openalex.org/I4210101034","display_name":"Birla Institute of Technology and Science - Hyderabad Campus","ror":"https://ror.org/014ctt859","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210101034","https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Michael Preetam Raj","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus, Hyderabad 500078, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus, Hyderabad 500078, Telangana, India","institution_ids":["https://openalex.org/I4210101034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091262706","display_name":"Arvind Subramaniam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101034","display_name":"Birla Institute of Technology and Science - Hyderabad Campus","ror":"https://ror.org/014ctt859","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210101034","https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arvind Subramaniam","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus, Hyderabad 500078, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus, Hyderabad 500078, Telangana, India","institution_ids":["https://openalex.org/I4210101034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000575588","display_name":"Shashank Priya","orcid":"https://orcid.org/0000-0003-1367-3434"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashank Priya","raw_affiliation_strings":["Center for Energy Harvesting Materials and Systems, Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy Harvesting Materials and Systems, Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105919738","display_name":"Souri Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101034","display_name":"Birla Institute of Technology and Science - Hyderabad Campus","ror":"https://ror.org/014ctt859","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210101034","https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Souri Banerjee","raw_affiliation_strings":["Department of Physics, BITS Pilani Hyderabad Campus, Hyderabad 500078, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, BITS Pilani Hyderabad Campus, Hyderabad 500078, Telangana, India","institution_ids":["https://openalex.org/I4210101034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087095284","display_name":"Souvik Kundu","orcid":"https://orcid.org/0000-0001-5815-8765"},"institutions":[{"id":"https://openalex.org/I4210101034","display_name":"Birla Institute of Technology and Science - Hyderabad Campus","ror":"https://ror.org/014ctt859","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210101034","https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Souvik Kundu","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus, Hyderabad 500078, Telangana, India"],"raw_orcid":"https://orcid.org/0000-0001-5815-8765","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, BITS Pilani Hyderabad Campus, Hyderabad 500078, Telangana, India","institution_ids":["https://openalex.org/I4210101034"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0475,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.78966374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"12","first_page":"1950201","last_page":"1950201"},"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":0.9986000061035156,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9983000159263611,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.926801323890686},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.9085409641265869},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.7955929636955261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6574026942253113},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6102989912033081},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.6022526025772095},{"id":"https://openalex.org/keywords/synaptic-weight","display_name":"Synaptic weight","score":0.5959753394126892},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.48930642008781433},{"id":"https://openalex.org/keywords/resistive-touchscreen","display_name":"Resistive touchscreen","score":0.47626110911369324},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.44495901465415955},{"id":"https://openalex.org/keywords/physical-neural-network","display_name":"Physical neural network","score":0.43591395020484924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42940181493759155},{"id":"https://openalex.org/keywords/memistor","display_name":"Memistor","score":0.4245024025440216},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3034130334854126},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.265918105840683},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18855497241020203},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17344769835472107},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.14671587944030762},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.10386893153190613}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.926801323890686},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.9085409641265869},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.7955929636955261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6574026942253113},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6102989912033081},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.6022526025772095},{"id":"https://openalex.org/C66949984","wikidata":"https://www.wikidata.org/wiki/Q7662043","display_name":"Synaptic weight","level":3,"score":0.5959753394126892},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.48930642008781433},{"id":"https://openalex.org/C6899612","wikidata":"https://www.wikidata.org/wiki/Q852911","display_name":"Resistive touchscreen","level":2,"score":0.47626110911369324},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.44495901465415955},{"id":"https://openalex.org/C33766855","wikidata":"https://www.wikidata.org/wiki/Q7189618","display_name":"Physical neural network","level":5,"score":0.43591395020484924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42940181493759155},{"id":"https://openalex.org/C1895703","wikidata":"https://www.wikidata.org/wiki/Q6034938","display_name":"Memistor","level":4,"score":0.4245024025440216},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3034130334854126},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.265918105840683},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18855497241020203},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17344769835472107},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.14671587944030762},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.10386893153190613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126619502013","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126619502013","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1499399937","https://openalex.org/W1525247245","https://openalex.org/W1970692740","https://openalex.org/W1979799588","https://openalex.org/W1990404128","https://openalex.org/W1991593296","https://openalex.org/W1993928418","https://openalex.org/W2002016471","https://openalex.org/W2007864662","https://openalex.org/W2011958461","https://openalex.org/W2015088745","https://openalex.org/W2029803196","https://openalex.org/W2043215215","https://openalex.org/W2045614943","https://openalex.org/W2062244941","https://openalex.org/W2066280488","https://openalex.org/W2075466416","https://openalex.org/W2080625874","https://openalex.org/W2100001183","https://openalex.org/W2101091847","https://openalex.org/W2112181056","https://openalex.org/W2117367916","https://openalex.org/W2136040261","https://openalex.org/W2136288682","https://openalex.org/W2143483829","https://openalex.org/W2147435778","https://openalex.org/W2148842444","https://openalex.org/W2150039047","https://openalex.org/W2159543793","https://openalex.org/W2162651880","https://openalex.org/W2166991426","https://openalex.org/W2168277610","https://openalex.org/W2198142417","https://openalex.org/W2291879761","https://openalex.org/W2323986115","https://openalex.org/W2518320872","https://openalex.org/W2603064927","https://openalex.org/W2613112347","https://openalex.org/W3101147703","https://openalex.org/W3146881658","https://openalex.org/W4205104605","https://openalex.org/W4236036376"],"related_works":["https://openalex.org/W3005999147","https://openalex.org/W3176428941","https://openalex.org/W3089883684","https://openalex.org/W1968537616","https://openalex.org/W2762474013","https://openalex.org/W913072106","https://openalex.org/W4253441086","https://openalex.org/W2623410569","https://openalex.org/W1990306796","https://openalex.org/W2942778963"],"abstract_inverted_index":{"Memristor":[0],"resembles":[1],"an":[2,152,166],"artificial":[3],"synapse":[4],"and":[5,160,186,188],"is":[6,103],"considered":[7],"to":[8,29,47,70,80,107,120,131,144,158],"be":[9],"basic":[10],"electronic":[11,56],"element":[12],"for":[13,85,193],"realizing":[14],"neuromorphic":[15,196],"circuits.":[16,197],"In":[17,78],"this":[18],"work,":[19],"a":[20,34,134,146],"systematic":[21],"investigation":[22],"was":[23,45,95,114,142],"conducted":[24],"on":[25],"memristor-based":[26],"resistance-programming":[27],"circuits":[28,175],"write":[30],"analog":[31],"data":[32,50],"into":[33],"memristor":[35,119],"utilizing":[36],"pulse":[37,99],"width":[38,100],"modulation":[39,101],"techniques.":[40],"The":[41,173],"high-frequency":[42],"sinusoidal":[43],"signal":[44],"utilized":[46,115,143,157],"read":[48],"the":[49,52,71,75,87,98,111,118,138,162,177,191],"in":[51,74,90,116,125,133,149],"form":[53],"of":[54,154,165,171,179],"its":[55,122,128],"resistance.":[57],"An":[58],"optimum":[59],"circuit":[60],"configuration":[61],"demonstrated":[62],"multilevel":[63],"stable":[64],"resistive":[65,123],"states,":[66],"which":[67],"are":[68],"analogous":[69,130],"connection":[72],"weights":[73,84,124],"human":[76,91],"synapse.":[77],"order":[79],"modulate":[81],"these":[82],"memristive":[83,139],"representing":[86],"learning":[88],"activities":[89],"brain":[92],"synapse,":[93],"it":[94],"identified":[96],"that":[97,132],"technique":[102],"superior":[104],"as":[105],"compared":[106],"spike-timing-dependent":[108],"plasticity.":[109],"Further,":[110,137],"above":[112],"analysis":[113],"training":[117],"update":[121,161],"consonance":[126],"with":[127],"learning,":[129],"neural":[135],"network.":[136],"crossbar":[140],"architecture":[141],"implement":[145],"real-time":[147],"application":[148],"Econometrics,":[150],"where":[151],"array":[153],"memristors":[155],"were":[156],"learn":[159],"purchase":[163],"trends":[164],"[Formula:":[167],"see":[168],"text]":[169],"matrix":[170],"customers.":[172],"proposed":[174],"possess":[176],"advantages":[178],"high":[180],"packing":[181],"density,":[182],"low":[183],"power":[184],"consumption":[185],"nonvolatility,":[187],"also":[189],"pave":[190],"way":[192],"developing":[194],"future":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
