{"id":"https://openalex.org/W2802063747","doi":"https://doi.org/10.1145/3183584.3183622","title":"Memristor crossbar based winner take all circuit design for self-organization","display_name":"Memristor crossbar based winner take all circuit design for self-organization","publication_year":2017,"publication_date":"2017-07-17","ids":{"openalex":"https://openalex.org/W2802063747","doi":"https://doi.org/10.1145/3183584.3183622","mag":"2802063747"},"language":"en","primary_location":{"id":"doi:10.1145/3183584.3183622","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183584.3183622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Neuromorphic Computing Symposium","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/A5103010512","display_name":"Raqibul Hasan","orcid":"https://orcid.org/0000-0001-6681-2202"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raqibul Hasan","raw_affiliation_strings":["University of Dayton"],"affiliations":[{"raw_affiliation_string":"University of Dayton","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104090957","display_name":"Tarek M. Taha","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarek M. Taha","raw_affiliation_strings":["University of Dayton"],"affiliations":[{"raw_affiliation_string":"University of Dayton","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103010512"],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":0.1433,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55118513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9983000159263611,"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/crossbar-switch","display_name":"Crossbar switch","score":0.8329536318778992},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.780471682548523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7331427931785583},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5595403909683228},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5498575568199158},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5440484881401062},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.4784386456012726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4662182927131653},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.37611591815948486},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24993285536766052},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.15759018063545227},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1278418004512787},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07387906312942505}],"concepts":[{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.8329536318778992},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.780471682548523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7331427931785583},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5595403909683228},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5498575568199158},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5440484881401062},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.4784386456012726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4662182927131653},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37611591815948486},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24993285536766052},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.15759018063545227},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1278418004512787},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07387906312942505},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183584.3183622","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183584.3183622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Neuromorphic Computing Symposium","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":19,"referenced_works":["https://openalex.org/W368005490","https://openalex.org/W1542981317","https://openalex.org/W1964288235","https://openalex.org/W1990517717","https://openalex.org/W1997629593","https://openalex.org/W2000967104","https://openalex.org/W2010745288","https://openalex.org/W2035054741","https://openalex.org/W2048266589","https://openalex.org/W2121472132","https://openalex.org/W2126824020","https://openalex.org/W2138913040","https://openalex.org/W2140739342","https://openalex.org/W2155954834","https://openalex.org/W2162651880","https://openalex.org/W2170731400","https://openalex.org/W2516941549","https://openalex.org/W3010071898","https://openalex.org/W4243125748"],"related_works":["https://openalex.org/W3164474614","https://openalex.org/W2171130799","https://openalex.org/W2005875039","https://openalex.org/W2015477599","https://openalex.org/W2144085790","https://openalex.org/W2548135880","https://openalex.org/W3177379469","https://openalex.org/W2516929886","https://openalex.org/W4253441086","https://openalex.org/W2942778963"],"abstract_inverted_index":{"Self-organizing":[0],"mechanism":[1],"is":[2,12,42,67],"an":[3,13],"important":[4],"feature":[5],"of":[6],"the":[7,57,70,83],"human":[8],"perception":[9],"system.":[10,38],"It":[11],"unsupervised":[14],"learning":[15,61],"process":[16],"which":[17],"does":[18],"not":[19],"require":[20],"labeled":[21],"data.":[22,92],"In":[23],"this":[24],"paper,":[25],"we":[26],"have":[27],"designed":[28,68],"a":[29,36],"novel":[30,64],"mixed":[31],"signal":[32],"architecture":[33],"for":[34,44,69],"training":[35,91],"self-organizing":[37],"A":[39,63],"memristor1":[40],"crossbar":[41],"utilized":[43],"higher":[45],"synaptic":[46],"weight":[47],"density":[48],"and":[49,74],"parallel":[50],"analog":[51],"operation.":[52],"The":[53],"system":[54,85],"essentially":[55],"implements":[56],"winner":[58],"take":[59],"all":[60],"algorithm.":[62],"neuron":[65,72],"circuit":[66],"winning":[71],"detection":[73],"lateral":[75],"inhibition":[76],"operations.":[77],"Our":[78],"experimental":[79],"results":[80],"show":[81],"that":[82],"proposed":[84],"can":[86],"self-organize":[87],"based":[88],"on":[89],"unlabeled":[90]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
