{"id":"https://openalex.org/W2467326504","doi":"https://doi.org/10.1109/ijcnn.2016.7727300","title":"Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures","display_name":"Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2467326504","doi":"https://doi.org/10.1109/ijcnn.2016.7727300","mag":"2467326504"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1606.08366","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088323080","display_name":"Christopher H. Bennett","orcid":"https://orcid.org/0000-0002-6989-292X"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Christopher H. Bennett","raw_affiliation_strings":["Institut d'\u00b4Electronique Fondamentale, Univ. Paris-Sud, CNRS, Orsay, France"],"affiliations":[{"raw_affiliation_string":"Institut d'\u00b4Electronique Fondamentale, Univ. Paris-Sud, CNRS, Orsay, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012054113","display_name":"Selina La Barbera","orcid":"https://orcid.org/0000-0001-8174-0227"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210123471","display_name":"Institut d'\u00e9lectronique de micro\u00e9lectronique et de nanotechnologie","ror":"https://ror.org/02q4res37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I137614889","https://openalex.org/I2279609970","https://openalex.org/I3132279224","https://openalex.org/I4210095849","https://openalex.org/I4210123471","https://openalex.org/I4387154098","https://openalex.org/I70348806","https://openalex.org/I70348806","https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Selina La Barbera","raw_affiliation_strings":["UMR CNRS, Institut d'\u00b4Electronique, Micro\u00b4electronique et Nanotechnologies, Villeneuve d'Ascq, France"],"affiliations":[{"raw_affiliation_string":"UMR CNRS, Institut d'\u00b4Electronique, Micro\u00b4electronique et Nanotechnologies, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210123471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032494774","display_name":"Adrien F. Vincent","orcid":"https://orcid.org/0000-0002-9770-4236"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adrien F. Vincent","raw_affiliation_strings":["Institut d'\u00b4Electronique Fondamentale, Univ. Paris-Sud, CNRS, Orsay, France"],"affiliations":[{"raw_affiliation_string":"Institut d'\u00b4Electronique Fondamentale, Univ. Paris-Sud, CNRS, Orsay, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jacques-Olivier Klein","orcid":null},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jacques-Olivier Klein","raw_affiliation_strings":["Institut d'\u00b4Electronique Fondamentale, Univ. Paris-Sud, CNRS, Orsay, France"],"affiliations":[{"raw_affiliation_string":"Institut d'\u00b4Electronique Fondamentale, Univ. Paris-Sud, CNRS, Orsay, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091510784","display_name":"Fabien Alibart","orcid":"https://orcid.org/0000-0002-9591-220X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210123471","display_name":"Institut d'\u00e9lectronique de micro\u00e9lectronique et de nanotechnologie","ror":"https://ror.org/02q4res37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I137614889","https://openalex.org/I2279609970","https://openalex.org/I3132279224","https://openalex.org/I4210095849","https://openalex.org/I4210123471","https://openalex.org/I4387154098","https://openalex.org/I70348806","https://openalex.org/I70348806","https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabien Alibart","raw_affiliation_strings":["Institut d'\u00c9lectronique, Micro\u00e9lectronique et Nanotechnologies, UMR CNRS 8520, Villeneuve d'Ascq, France"],"affiliations":[{"raw_affiliation_string":"Institut d'\u00c9lectronique, Micro\u00e9lectronique et Nanotechnologies, UMR CNRS 8520, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210123471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063819347","display_name":"Damien Querlioz","orcid":"https://orcid.org/0000-0002-0295-1008"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Damien Querlioz","raw_affiliation_strings":["Institut d'\u00b4Electronique Fondamentale, Univ. Paris-Sud, CNRS, Orsay, France"],"affiliations":[{"raw_affiliation_string":"Institut d'\u00b4Electronique Fondamentale, Univ. Paris-Sud, CNRS, Orsay, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088323080"],"corresponding_institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05083533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"947","last_page":"954"},"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":0.9994999766349792,"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/T12676","display_name":"Machine Learning and ELM","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.795413613319397},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.7553799748420715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7081051468849182},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5558993220329285},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.5546139478683472},{"id":"https://openalex.org/keywords/nanodevice","display_name":"Nanodevice","score":0.5118593573570251},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4649447500705719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4360061287879944},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.42189162969589233},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42040857672691345},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4145342707633972},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37952929735183716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3064573407173157},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.22586724162101746},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16174671053886414},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.15982526540756226},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12830182909965515},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11576032638549805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08271923661231995}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.795413613319397},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.7553799748420715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081051468849182},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5558993220329285},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.5546139478683472},{"id":"https://openalex.org/C2909374376","wikidata":"https://www.wikidata.org/wiki/Q2726733","display_name":"Nanodevice","level":2,"score":0.5118593573570251},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4649447500705719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4360061287879944},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.42189162969589233},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42040857672691345},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4145342707633972},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37952929735183716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3064573407173157},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.22586724162101746},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16174671053886414},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.15982526540756226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12830182909965515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11576032638549805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08271923661231995},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":4,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1606.08366","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1606.08366","pdf_url":"https://arxiv.org/pdf/1606.08366","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2467326504","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1606.08366","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1606.08366","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1606.08366","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1606.08366","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1606.08366","pdf_url":"https://arxiv.org/pdf/1606.08366","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2467326504.pdf","grobid_xml":"https://content.openalex.org/works/W2467326504.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1495791788","https://openalex.org/W1503792000","https://openalex.org/W1542981317","https://openalex.org/W1575051237","https://openalex.org/W1625160166","https://openalex.org/W1737787488","https://openalex.org/W1964288235","https://openalex.org/W1966010951","https://openalex.org/W1969604278","https://openalex.org/W1982296198","https://openalex.org/W1988401319","https://openalex.org/W2016922062","https://openalex.org/W2046404756","https://openalex.org/W2063206977","https://openalex.org/W2076698365","https://openalex.org/W2077751791","https://openalex.org/W2080772480","https://openalex.org/W2081126728","https://openalex.org/W2083407323","https://openalex.org/W2112796928","https://openalex.org/W2134603844","https://openalex.org/W2141695047","https://openalex.org/W2155954834","https://openalex.org/W2162341456","https://openalex.org/W2195210638","https://openalex.org/W2317230785","https://openalex.org/W4241819524","https://openalex.org/W6642801916","https://openalex.org/W6679935922"],"related_works":["https://openalex.org/W2963356011","https://openalex.org/W2046404756","https://openalex.org/W3037689247","https://openalex.org/W1575051237","https://openalex.org/W2076659816","https://openalex.org/W1988401319","https://openalex.org/W2807205556","https://openalex.org/W2883593518","https://openalex.org/W2989273411","https://openalex.org/W3082053424","https://openalex.org/W3168324241","https://openalex.org/W3098807723","https://openalex.org/W1556798647","https://openalex.org/W2945465923","https://openalex.org/W1542488308","https://openalex.org/W2515601391","https://openalex.org/W2620982695","https://openalex.org/W3029160061","https://openalex.org/W2120447256","https://openalex.org/W2148267286"],"abstract_inverted_index":{"Memristive":[0],"nanodevices":[1,25],"offer":[2,36],"new":[3],"frontiers":[4],"for":[5,80],"computing":[6,223],"systems":[7,192],"that":[8,53,206],"unite":[9],"arithmetic":[10],"and":[11,44,73,88,129,131,176,188,200,208],"memory":[12],"operations":[13],"on-chip.":[14],"Here,":[15],"we":[16,51],"explore":[17],"the":[18,105,122,156,160,168,177],"integration":[19],"of":[20,190,195,216],"electrochemical":[21],"metallization":[22],"cell":[23],"(ECM)":[24],"with":[26],"tunable":[27],"filamentary":[28],"switching":[29],"in":[30,136,193],"nanoscale":[31],"learning":[32,68,100,107],"systems.":[33,224],"Such":[34],"devices":[35],"a":[37,98,117,150],"natural":[38],"transition":[39],"between":[40],"short-term":[41],"plasticity":[42,46],"(STP)":[43],"long-term":[45],"(LTP).":[47],"In":[48,152],"this":[49,54],"work,":[50],"show":[52],"property":[55],"can":[56],"be":[57,215],"exploited":[58],"to":[59,149,154,219],"efficiently":[60],"solve":[61],"noisy":[62],"classification":[63,76],"tasks.":[64],"A":[65],"single":[66],"crossbar":[67],"scheme":[69],"is":[70,77,92,111,125,140,143],"first":[71,123],"introduced":[72],"evaluated.":[74],"Perfect":[75],"possible":[78],"only":[79],"simple":[81],"input":[82],"patterns,":[83],"within":[84],"critical":[85],"timing":[86,138,212],"parameters,":[87],"when":[89,121,134],"device":[90,137,171,180,211],"variability":[91,135,142],"weak.":[93],"To":[94],"overcome":[95],"these":[96,203],"limitations,":[97],"dual-crossbar":[99],"system":[101,120,172,181],"partly":[102],"inspired":[103],"by":[104],"extreme":[106],"machine":[108],"(ELM)":[109],"approach":[110,115],"then":[112],"introduced.":[113],"This":[114],"outperforms":[116],"conventional":[118,163],"ELM-inspired":[119],"layer":[124],"imprinted":[126],"before":[127],"training":[128],"testing,":[130],"especially":[132],"so":[133],"evolution":[139],"considered:":[141],"therefore":[144],"transformed":[145],"from":[146],"an":[147],"issue":[148],"feature.":[151],"attempting":[153],"classify":[155],"MNIST":[157],"database":[158],"under":[159],"same":[161],"conditions,":[162],"ELM":[164],"obtains":[165,173],"84%":[166],"classification,":[167,175],"imprinted,":[169,178],"uniform":[170],"88%":[174],"variable":[179],"reaches":[182],"92%":[183],"classification.":[184],"We":[185],"discuss":[186],"benefits":[187],"drawbacks":[189],"both":[191],"terms":[194],"energy,":[196],"complexity,":[197],"area":[198],"imprint,":[199],"speed.":[201],"All":[202],"results":[204],"highlight":[205],"tuning":[207],"exploiting":[209],"intrinsic":[210],"parameters":[213],"may":[214],"central":[217],"interest":[218],"future":[220],"bio-inspired":[221],"approximate":[222]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
