{"id":"https://openalex.org/W2895871706","doi":"https://doi.org/10.1109/ijcnn.2018.8489468","title":"Online Feature Learning from a non-i.i.d. Stream in a Neuromorphic System with Synaptic Competition","display_name":"Online Feature Learning from a non-i.i.d. Stream in a Neuromorphic System with Synaptic Competition","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2895871706","doi":"https://doi.org/10.1109/ijcnn.2018.8489468","mag":"2895871706"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5072695145","display_name":"Stanis\u0142aw Wo\u017aniak","orcid":"https://orcid.org/0000-0001-7282-3792"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Stanislaw Wozniak","raw_affiliation_strings":["IBM Research \u2013 Zurich, S\u00e4umerstrasse 4, R\u00fcschlikon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research \u2013 Zurich, S\u00e4umerstrasse 4, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024779827","display_name":"Angeliki Pantazi","orcid":"https://orcid.org/0000-0003-4720-4038"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Angeliki Pantazi","raw_affiliation_strings":["IBM Research \u2013 Zurich, S\u00e4umerstrasse 4, R\u00fcschlikon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research \u2013 Zurich, S\u00e4umerstrasse 4, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072423303","display_name":"Yusuf Leblebici","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yusuf Leblebici","raw_affiliation_strings":["Microelectronic Systems Laboratory, EPFL, 1015, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microelectronic Systems Laboratory, EPFL, 1015, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043271107","display_name":"Evangelos Eleftheriou","orcid":"https://orcid.org/0000-0002-3826-5931"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Evangelos Eleftheriou","raw_affiliation_strings":["IBM Research \u2013 Zurich, S\u00e4umerstrasse 4, R\u00fcschlikon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research \u2013 Zurich, S\u00e4umerstrasse 4, R\u00fcschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09887181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9980999827384949,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9681345224380493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053394317626953},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6806755065917969},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.6037607192993164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5904017090797424},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5494430065155029},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5109567046165466},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.4404464662075043},{"id":"https://openalex.org/keywords/synaptic-weight","display_name":"Synaptic weight","score":0.4293992519378662},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.42552247643470764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.419016569852829},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32526540756225586},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2874266803264618},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12961870431900024},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.07182148098945618}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9681345224380493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053394317626953},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6806755065917969},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.6037607192993164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5904017090797424},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5494430065155029},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5109567046165466},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.4404464662075043},{"id":"https://openalex.org/C66949984","wikidata":"https://www.wikidata.org/wiki/Q7662043","display_name":"Synaptic weight","level":3,"score":0.4293992519378662},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.42552247643470764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.419016569852829},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32526540756225586},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2874266803264618},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12961870431900024},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.07182148098945618},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1766594731","https://openalex.org/W1902027874","https://openalex.org/W1967178540","https://openalex.org/W2000454347","https://openalex.org/W2032044543","https://openalex.org/W2072500593","https://openalex.org/W2105489745","https://openalex.org/W2106884367","https://openalex.org/W2112447569","https://openalex.org/W2112483442","https://openalex.org/W2117824861","https://openalex.org/W2140318696","https://openalex.org/W2144205676","https://openalex.org/W2163922914","https://openalex.org/W2167148127","https://openalex.org/W2190490644","https://openalex.org/W2297862270","https://openalex.org/W2334364695","https://openalex.org/W2389556795","https://openalex.org/W2504678134","https://openalex.org/W2509653747","https://openalex.org/W2619806250","https://openalex.org/W2635692202","https://openalex.org/W2730623098","https://openalex.org/W2771311350","https://openalex.org/W6650927020","https://openalex.org/W6676727762","https://openalex.org/W6676840641","https://openalex.org/W6677416955","https://openalex.org/W6680770193","https://openalex.org/W6739825820"],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W3207218810","https://openalex.org/W4292697011","https://openalex.org/W3212508523","https://openalex.org/W1995352804","https://openalex.org/W2909534142","https://openalex.org/W2086672837","https://openalex.org/W2735207540","https://openalex.org/W1530541224","https://openalex.org/W1520894008"],"abstract_inverted_index":{"Neuromorphic":[0],"computing":[1],"takes":[2],"inspiration":[3],"from":[4],"how":[5],"the":[6,36,39,42,57,124,127,135,138,155],"brain":[7],"works":[8],"to":[9,51,118,137,160],"design":[10],"power-":[11],"and":[12,85,100,133,143,158],"area-efficient":[13],"hardware":[14],"architectures":[15,24],"for":[16,70,88,129],"learning":[17,22,43,60,90,152],"systems.":[18],"Recently,":[19],"unsupervised":[20],"feature":[21,151],"neuromorphic":[23,54,93],"have":[25],"been":[26],"presented,":[27],"including":[28],"a":[29,79,92,107,130],"concept":[30],"of":[31,38,62,110,126,140,154],"synaptic":[32,102,111],"competition":[33,112],"that":[34,113],"promotes":[35],"engagement":[37],"synapses":[40,99],"in":[41,91],"beyond":[44],"weight":[45],"storage.":[46],"However,":[47],"it":[48,87],"is":[49],"common":[50],"train":[52],"these":[53],"systems":[55],"following":[56],"classic":[58],"machine":[59],"assumption":[61],"i.i.d.":[63],"dataset":[64,82],"sampling,":[65],"which":[66],"may":[67],"not":[68],"hold":[69],"real":[71],"world":[72],"inputs.":[73,162],"In":[74],"this":[75],"paper,":[76],"we":[77,105],"propose":[78,106],"more":[80],"realistic":[81],"sampling":[83],"technique":[84],"apply":[86],"online":[89,150],"system":[94,128,157],"using":[95],"phase-change":[96],"memristors":[97],"as":[98],"implementing":[101],"competition.":[103],"Furthermore,":[104],"novel":[108],"formulation":[109],"captures":[114],"orthogonal":[115],"features,":[116],"alternatively":[117],"independent":[119],"components.":[120],"We":[121],"experimentally":[122],"demonstrate":[123,149],"operation":[125],"non-i.i.d.":[131,161],"stream":[132],"compare":[134],"performance":[136],"models":[139],"lateral":[141],"inhibition":[142],"dendritic":[144],"inhibition.":[145],"The":[146],"obtained":[147],"results":[148],"capabilities":[153],"proposed":[156],"robustness":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}