{"id":"https://openalex.org/W1987767281","doi":"https://doi.org/10.1109/ijcnn.2014.6889605","title":"An adjustable memristor model and its application in small-world neural networks","display_name":"An adjustable memristor model and its application in small-world neural networks","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1987767281","doi":"https://doi.org/10.1109/ijcnn.2014.6889605","mag":"1987767281"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889605","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":"conference-paper","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/A5087454088","display_name":"Xiaofang Hu","orcid":"https://orcid.org/0000-0003-3764-2640"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaofang Hu","raw_affiliation_strings":["Dept. of MBE, City University of Hong Kong, Kowloon, Hong Kong, China","Dept. of MBE, City Univ. of Hong Kong, Kowloon, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of MBE, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of MBE, City Univ. of Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082124101","display_name":"Gang Feng","orcid":"https://orcid.org/0000-0001-8508-8416"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Gang Feng","raw_affiliation_strings":["Dept. of MBE, City University of Hong Kong, Kowloon, Hong Kong, China","Dept. of MBE, City Univ. of Hong Kong, Kowloon, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of MBE, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of MBE, City Univ. of Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429403","display_name":"Hai Li","orcid":"https://orcid.org/0000-0003-3228-6544"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Li","raw_affiliation_strings":["Dept. of ECE, University of Pittsburgh, Pittsburgh, PA, USA","Dept. of ECE, Univ. of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Dept. of ECE, Univ. of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Dept. of ECE, University of Pittsburgh, Pittsburgh, PA, USA","Dept. of ECE, Univ. of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Dept. of ECE, Univ. of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035048973","display_name":"Shukai Duan","orcid":"https://orcid.org/0000-0002-0040-3796"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shukai Duan","raw_affiliation_strings":["Coll. of Elec. & Info. Eng., Southwest University, Chongqing, Chian","Coll. of Elec. & Inf. Eng., Southwest Univ., Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coll. of Elec. & Info. Eng., Southwest University, Chongqing, Chian","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"Coll. of Elec. & Inf. Eng., Southwest Univ., Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4474,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88309791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"14"},"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9983999729156494,"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/memristor","display_name":"Memristor","score":0.8985302448272705},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7335730195045471},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7228236198425293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6383188962936401},{"id":"https://openalex.org/keywords/physical-neural-network","display_name":"Physical neural network","score":0.6105536818504333},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.5821667313575745},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.5804166197776794},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5622499585151672},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.47735050320625305},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.46744975447654724},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4499531388282776},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4460396468639374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.388440877199173},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36398550868034363},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3169264793395996},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.2106969952583313},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.20912528038024902},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19400814175605774},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.17336338758468628},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15946844220161438},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12730666995048523},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10063976049423218},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09474170207977295}],"concepts":[{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.8985302448272705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7335730195045471},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7228236198425293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383188962936401},{"id":"https://openalex.org/C33766855","wikidata":"https://www.wikidata.org/wiki/Q7189618","display_name":"Physical neural network","level":5,"score":0.6105536818504333},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.5821667313575745},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.5804166197776794},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5622499585151672},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.47735050320625305},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.46744975447654724},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4499531388282776},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4460396468639374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.388440877199173},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36398550868034363},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3169264793395996},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.2106969952583313},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.20912528038024902},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19400814175605774},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17336338758468628},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15946844220161438},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12730666995048523},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10063976049423218},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09474170207977295},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889605","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W196936399","https://openalex.org/W1636486936","https://openalex.org/W1968537616","https://openalex.org/W1983166723","https://openalex.org/W1987924998","https://openalex.org/W2032575251","https://openalex.org/W2041266732","https://openalex.org/W2045009304","https://openalex.org/W2080625874","https://openalex.org/W2103531629","https://openalex.org/W2112090702","https://openalex.org/W2112181056","https://openalex.org/W2139580250","https://openalex.org/W2159461700","https://openalex.org/W2159543793","https://openalex.org/W2160078357","https://openalex.org/W2162651880","https://openalex.org/W2165096765","https://openalex.org/W2411706238","https://openalex.org/W2603064927","https://openalex.org/W3151055086","https://openalex.org/W6636879962","https://openalex.org/W6683763710","https://openalex.org/W6736339276"],"related_works":["https://openalex.org/W3047135031","https://openalex.org/W4367172565","https://openalex.org/W2900933804","https://openalex.org/W2962832989","https://openalex.org/W3049246456","https://openalex.org/W2796301380","https://openalex.org/W3024791319","https://openalex.org/W4241208885","https://openalex.org/W4242780158","https://openalex.org/W2942778963"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,32,53,74],"novel":[4],"mathematical":[5,86],"model":[6,19,47,67,87],"for":[7,73],"the":[8,21,25,42,46,64,85,89,92],"TiO2thin-film":[9],"memristor":[10,66],"device":[11],"discovered":[12],"by":[13,30,62],"Hewlett-Packard":[14],"(HP)":[15],"labs.":[16],"Our":[17],"proposed":[18,65],"considers":[20],"boundary":[22],"conditions":[23],"and":[24,68,88],"nonlinear":[26,96],"ionic":[27],"drift":[28],"effects":[29],"using":[31],"piecewise":[33],"linear":[34],"window":[35,43],"function.":[36],"Four":[37],"adjustable":[38],"parameters":[39],"associated":[40],"with":[41],"function":[44,97],"enable":[45],"to":[48,83],"capture":[49],"complex":[50],"dynamics":[51],"of":[52,91],"physical":[54],"HP":[55],"memristor.":[56],"Furthermore,":[57],"we":[58],"realize":[59],"synaptic":[60],"connections":[61],"utilizing":[63],"provide":[69],"an":[70],"implementation":[71],"scheme":[72],"small-world":[75],"multilayer":[76],"neural":[77,93],"network.":[78],"Simulation":[79],"results":[80],"are":[81],"presented":[82],"validate":[84],"performance":[90],"network":[94],"in":[95],"approximation.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}