{"id":"https://openalex.org/W2795084265","doi":"https://doi.org/10.1109/biocas.2017.8325233","title":"An energy efficient neuromorphic computing system using real time sensing method","display_name":"An energy efficient neuromorphic computing system using real time sensing method","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2795084265","doi":"https://doi.org/10.1109/biocas.2017.8325233","mag":"2795084265"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2017.8325233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2017.8325233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","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/A5050458474","display_name":"Hooman Farkhani","orcid":"https://orcid.org/0000-0002-8632-2240"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Hooman Farkhani","raw_affiliation_strings":["Department of Engineering, Aarhus University, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103229624","display_name":"Mohammad Tohidi","orcid":"https://orcid.org/0000-0002-6933-3140"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Mohammad Tohidi","raw_affiliation_strings":["Department of Engineering, Aarhus University, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062845488","display_name":"Sadaf Farkhani","orcid":"https://orcid.org/0000-0002-6911-3586"},"institutions":[{"id":"https://openalex.org/I9256017","display_name":"Islamic Azad University of Najafabad","ror":"https://ror.org/015j7c446","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I9256017"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sadaf Farkhani","raw_affiliation_strings":["Department of Electrical Engineering, Islamic Azad University, Najafabad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Islamic Azad University, Najafabad, Iran","institution_ids":["https://openalex.org/I9256017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100862700","display_name":"Jens Kargaard Madsen","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jens Kargaard Madsen","raw_affiliation_strings":["Department of Engineering, Aarhus University, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043716992","display_name":"Farshad Moradi","orcid":"https://orcid.org/0000-0001-7077-8545"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Farshad Moradi","raw_affiliation_strings":["Department of Engineering, Aarhus University, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9998000264167786,"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":0.9998000264167786,"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/T10049","display_name":"Magnetic properties of thin films","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.956499457359314},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6930951476097107},{"id":"https://openalex.org/keywords/tunnel-magnetoresistance","display_name":"Tunnel magnetoresistance","score":0.5616487264633179},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5584904551506042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.545468270778656},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5371084809303284},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.46213120222091675},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4311044216156006},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4269470274448395},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.287960410118103},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.2766645550727844},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19759878516197205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18058398365974426},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1615283191204071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14436841011047363},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.14228737354278564},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09436839818954468}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.956499457359314},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6930951476097107},{"id":"https://openalex.org/C56202322","wikidata":"https://www.wikidata.org/wiki/Q1884383","display_name":"Tunnel magnetoresistance","level":3,"score":0.5616487264633179},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5584904551506042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.545468270778656},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5371084809303284},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.46213120222091675},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4311044216156006},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4269470274448395},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.287960410118103},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.2766645550727844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19759878516197205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18058398365974426},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1615283191204071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14436841011047363},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.14228737354278564},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09436839818954468},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/biocas.2017.8325233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2017.8325233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/03e184f7-f799-4b92-875e-b9e8cf387c33","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/03e184f7-f799-4b92-875e-b9e8cf387c33","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Farkhani, H, Tohidi, M, Farkhani, S, Madsen, J K & Moradi, F 2018, An Energy Efficient Neuromorphic Computing System Using Real Time Sensing Method. in 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings : BioCAS., 7199, IEEE, pp. 685-688, BioCAS 2017, Turin, Italy, 19/10/2017. https://doi.org/10.1109/BIOCAS.2017.8325233","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1566916904","https://openalex.org/W1670338252","https://openalex.org/W2008901850","https://openalex.org/W2042076387","https://openalex.org/W2063927304","https://openalex.org/W2068896528","https://openalex.org/W2214682759","https://openalex.org/W2519304550","https://openalex.org/W2555974326","https://openalex.org/W3147616483","https://openalex.org/W4246826879"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W4389237622","https://openalex.org/W3108691306","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4214914769","https://openalex.org/W4387251107","https://openalex.org/W2166309310","https://openalex.org/W4410617479","https://openalex.org/W3097096022"],"abstract_inverted_index":{"In":[0,51],"spintronic-based":[1],"neuromorphic":[2],"computing":[3],"systems":[4],"(NCS),":[5],"the":[6,24,29,64,102,124],"switching":[7,26],"of":[8,28,48,85,105,127],"magnetic":[9,13],"moment":[10],"in":[11,80,113],"a":[12,54,91,96,106,116],"tunnel":[14],"junction":[15],"(MTJ)":[16],"is":[17,60,109],"used":[18],"to":[19,36,42,62,77],"mimic":[20],"neuron":[21],"firing.":[22],"However,":[23],"stochastic":[25],"behavior":[27],"MTJ":[30,65,73,98],"and":[31,46,67,83,95],"process":[32],"variations":[33],"effect":[34],"leads":[35,41,76],"extra":[37,43],"stimulation":[38,69],"time.":[39],"This":[40,75],"energy":[44,81,103],"consumption":[45,82,104],"delay":[47,84],"such":[49],"NCSs.":[50],"this":[52],"paper,":[53],"new":[55],"real-time":[56],"sensing":[57],"(RTS)":[58],"circuit":[59,122],"proposed":[61],"track":[63],"state":[66],"terminate":[68],"phase":[70],"immediately":[71],"after":[72],"switching.":[74],"significant":[78],"degradation":[79],"NCS.":[86,118],"The":[87],"simulation":[88],"results":[89],"using":[90],"65-nm":[92],"CMOS":[93],"technology":[94,99],"40-nm":[97],"confirm":[100],"that":[101],"RTS-based":[107],"NCS":[108,129],"improved":[110],"by":[111,130],"50%":[112],"comparison":[114],"with":[115],"typical":[117],"Moreover,":[119],"utilizing":[120],"RTS":[121],"improves":[123],"overall":[125],"speed":[126],"an":[128],"2.75x.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}