{"id":"https://openalex.org/W2771311350","doi":"https://doi.org/10.1109/icrc.2017.8123635","title":"Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture","display_name":"Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2771311350","doi":"https://doi.org/10.1109/icrc.2017.8123635","mag":"2771311350"},"language":"en","primary_location":{"id":"doi:10.1109/icrc.2017.8123635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrc.2017.8123635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Rebooting Computing (ICRC)","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"]},{"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":"Stanislaw Wozniak","raw_affiliation_strings":["EPFL, Microelectronic Systems Laboratory, Lausanne, Switzerland","IBM Research - Zurich, R\u00fcschlikon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EPFL, Microelectronic Systems Laboratory, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"IBM Research - Zurich, 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/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":"Angeliki Pantazi","raw_affiliation_strings":["EPFL, Microelectronic Systems Laboratory, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EPFL, Microelectronic Systems Laboratory, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"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":["EPFL, Microelectronic Systems Laboratory, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EPFL, Microelectronic Systems Laboratory, 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 - Zurich, R\u00fcschlikon, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Zurich, 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":0.1462,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53943464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"7"},"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":0.9987999796867371,"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":0.9984999895095825,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9275336861610413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7261097431182861},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6084813475608826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5264385938644409},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5147287845611572},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.48898637294769287},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.48767030239105225},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4511241316795349},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.41754281520843506},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26993075013160706}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9275336861610413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261097431182861},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6084813475608826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5264385938644409},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5147287845611572},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.48898637294769287},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48767030239105225},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4511241316795349},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.41754281520843506},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26993075013160706},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icrc.2017.8123635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrc.2017.8123635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Rebooting Computing (ICRC)","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":21,"referenced_works":["https://openalex.org/W1486852018","https://openalex.org/W1645800954","https://openalex.org/W1967178540","https://openalex.org/W2008008156","https://openalex.org/W2059668389","https://openalex.org/W2072500593","https://openalex.org/W2105489745","https://openalex.org/W2106884367","https://openalex.org/W2117824861","https://openalex.org/W2129936377","https://openalex.org/W2163630896","https://openalex.org/W2163922914","https://openalex.org/W2167148127","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/W2730623098","https://openalex.org/W6677416955"],"related_works":["https://openalex.org/W2756276189","https://openalex.org/W3089892344","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W4312992603","https://openalex.org/W4288055417","https://openalex.org/W4287758233","https://openalex.org/W2960220682","https://openalex.org/W4205804651"],"abstract_inverted_index":{"Neuromorphic":[0],"computing":[1,12],"takes":[2],"inspiration":[3],"from":[4,73,151],"how":[5,97],"the":[6,46,65,68,83,86,98,107,123,126,130,133,140,156],"brain":[7],"works":[8],"to":[9,75,122,136],"explore":[10],"novel":[11],"paradigms.":[13],"Recently,":[14],"neuromorphic":[15,161],"architectures":[16],"using":[17,158],"spiking":[18],"neurons":[19,74],"were":[20],"proposed":[21,134],"for":[22],"unsupervised":[23,143],"learning":[24],"of":[25,39,58,125,132,142,155],"pattern-":[26],"and":[27,85],"feature-based":[28],"representations.":[29],"These":[30],"approaches":[31],"typically":[32],"use":[33],"a":[34,114,159],"common":[35],"WTA":[36,55,69],"architectural":[37,56],"motif":[38,57],"lateral":[40,137],"inhibition":[41,138],"that":[42,61,117],"introduces":[43,62],"competition":[44,60,63,100],"between":[45,64],"neurons.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,95,112,147],"propose":[52],"an":[53,91,152],"alternative":[54],"synaptic":[59,99],"synapses.":[66,165],"As":[67],"mechanism":[70],"is":[71,79],"moved":[72],"synapses,":[76],"neuronal":[77],"activation":[78],"not":[80],"constrained":[81],"during":[82],"learning,":[84],"architecture":[87,116,135,157],"operates":[88],"well":[89],"in":[90,106],"online":[92],"setting.":[93],"Moreover,":[94],"show":[96],"results":[101,150],"provide":[102],"information":[103],"about":[104],"novelty":[105],"input,":[108],"based":[109],"on":[110,139],"which":[111],"develop":[113],"feature-learning":[115],"dynamically":[118],"adjusts":[119],"its":[120],"size":[121],"complexity":[124],"dataset.":[127],"We":[128],"compare":[129],"performance":[131],"task":[141],"feature":[144],"learning.":[145],"Finally,":[146],"demonstrate":[148],"high-accuracy":[149],"experimental":[153],"realization":[154],"prototype":[160],"platform":[162],"with":[163],"phase-change-based":[164]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}