{"id":"https://openalex.org/W1995019625","doi":"https://doi.org/10.1109/ijcnn.2014.6889915","title":"Analog memristive time dependent learning using discrete nanoscale RRAM devices","display_name":"Analog memristive time dependent learning using discrete nanoscale RRAM devices","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1995019625","doi":"https://doi.org/10.1109/ijcnn.2014.6889915","mag":"1995019625"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5005479140","display_name":"Aniket Singha","orcid":"https://orcid.org/0000-0002-0620-0068"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aniket Singha","raw_affiliation_strings":["Department of Electrical Engineering, Indian Insitute of Technology, Bombay Mumbai, India","Dept. of Electr. Eng., Indian Insitute of Technol., Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Insitute of Technology, Bombay Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Indian Insitute of Technol., Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034403969","display_name":"Bhaskaran Muralidharan","orcid":"https://orcid.org/0000-0003-3541-5102"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhaskaran Muralidharan","raw_affiliation_strings":["Department of Electrical Engineering, Indian Insitute of Technology, Bombay Mumbai, India","Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Insitute of Technology, Bombay Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048595299","display_name":"Bipin Rajendran","orcid":"https://orcid.org/0000-0002-2960-6909"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bipin Rajendran","raw_affiliation_strings":["Department of Electrical Engineering, Indian Insitute of Technology, Bombay Mumbai, India","Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Insitute of Technology, Bombay Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":1.2776,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82253152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2248","last_page":"2255"},"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":0.9991000294685364,"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":0.9979000091552734,"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/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.9067765474319458},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.7796101570129395},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.5781939625740051},{"id":"https://openalex.org/keywords/nanoscopic-scale","display_name":"Nanoscopic scale","score":0.4952491819858551},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.49505797028541565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45922747254371643},{"id":"https://openalex.org/keywords/conductance","display_name":"Conductance","score":0.43769487738609314},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4263477325439453},{"id":"https://openalex.org/keywords/quantum-tunnelling","display_name":"Quantum tunnelling","score":0.4150310754776001},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.40522438287734985},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.3102862536907196},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.27166813611984253},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2551667094230652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22217610478401184},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1766573190689087},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16770529747009277},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1404796540737152}],"concepts":[{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.9067765474319458},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.7796101570129395},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5781939625740051},{"id":"https://openalex.org/C45206210","wikidata":"https://www.wikidata.org/wiki/Q2415817","display_name":"Nanoscopic scale","level":2,"score":0.4952491819858551},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.49505797028541565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45922747254371643},{"id":"https://openalex.org/C121932024","wikidata":"https://www.wikidata.org/wiki/Q5159376","display_name":"Conductance","level":2,"score":0.43769487738609314},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4263477325439453},{"id":"https://openalex.org/C120398109","wikidata":"https://www.wikidata.org/wiki/Q175751","display_name":"Quantum tunnelling","level":2,"score":0.4150310754776001},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.40522438287734985},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.3102862536907196},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.27166813611984253},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2551667094230652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22217610478401184},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1766573190689087},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16770529747009277},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1404796540737152},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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":26,"referenced_works":["https://openalex.org/W85255755","https://openalex.org/W1974899890","https://openalex.org/W1977765713","https://openalex.org/W1986246844","https://openalex.org/W1994156934","https://openalex.org/W1994435842","https://openalex.org/W2003619715","https://openalex.org/W2007898123","https://openalex.org/W2010959282","https://openalex.org/W2013055927","https://openalex.org/W2038593071","https://openalex.org/W2045614943","https://openalex.org/W2054905451","https://openalex.org/W2059217336","https://openalex.org/W2060694887","https://openalex.org/W2077586448","https://openalex.org/W2093320793","https://openalex.org/W2101834447","https://openalex.org/W2112181056","https://openalex.org/W2132456811","https://openalex.org/W2147101007","https://openalex.org/W2162651880","https://openalex.org/W2183503567","https://openalex.org/W2185212694","https://openalex.org/W2536571074","https://openalex.org/W6686322748"],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W4292697011","https://openalex.org/W3207218810","https://openalex.org/W3212508523","https://openalex.org/W4386475142","https://openalex.org/W1995352804","https://openalex.org/W2793181810","https://openalex.org/W2016922062","https://openalex.org/W2806638311","https://openalex.org/W4367187682"],"abstract_inverted_index":{"We":[0,78],"propose":[1],"a":[2,16,37,48],"scheme":[3],"that":[4,36,81],"mimics":[5],"the":[6,44,85,90,94,102,106,111,119],"analog":[7,40,129],"time":[8],"dependent":[9],"learning":[10,133],"characteristics":[11],"of":[12,19,51,93,105,113,121],"biological":[13],"synapses":[14,73],"using":[15,122],"small":[17],"set":[18],"discrete":[20,57,123],"nanoscale":[21],"RRAM":[22,54,95,124],"devices":[23,55,125],"whose":[24],"switching":[25,91],"voltages":[26,87],"vary":[27],"stochastically.":[28],"Using":[29],"numerical":[30],"models":[31],"and":[32,47,65,88],"simulations,":[33],"we":[34],"demonstrate":[35],"voltage":[38],"limited":[39],"memristor":[41],"operating":[42],"in":[43,110,131],"tunneling":[45],"regime":[46],"parallel":[49],"combination":[50],"<;":[52],"10":[53],"having":[56],"resistance":[58,61],"states":[59,62],"(two":[60],"-":[63],"high":[64],"low),":[66],"can":[67],"both":[68],"be":[69],"employed":[70],"as":[71],"artificial":[72,132],"with":[74],"similar":[75],"statistical":[76],"performance.":[77],"also":[79],"show":[80],"by":[82],"appropriately":[83],"choosing":[84],"programming":[86],"hence":[89],"probability":[92],"devices,":[96],"it":[97],"is":[98],"possible":[99],"to":[100,126],"tune":[101],"relative":[103],"conductance":[104],"synaptic":[107],"element":[108],"anywhere":[109],"range":[112],"2-100.":[114],"This":[115],"paper":[116],"thus":[117],"shows":[118],"possibility":[120],"realize":[127],"an":[128],"functionality":[130],"systems.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
