{"id":"https://openalex.org/W2256462527","doi":"https://doi.org/10.1162/neco_a_00845","title":"Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals","display_name":"Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals","publication_year":2016,"publication_date":"2016-05-12","ids":{"openalex":"https://openalex.org/W2256462527","doi":"https://doi.org/10.1162/neco_a_00845","mag":"2256462527","pmid":"https://pubmed.ncbi.nlm.nih.gov/27172266"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00845","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00845","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5087676185","display_name":"Lyudmila Grigoryeva","orcid":"https://orcid.org/0000-0002-4857-7779"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lyudmila Grigoryeva","raw_affiliation_strings":["Department of Mathematics and Statistics, Universit\u00e4t Konstanz, D-78467 Konstanz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Universit\u00e4t Konstanz, D-78467 Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108712278","display_name":"Julie Henriques","orcid":"https://orcid.org/0000-0002-0674-0953"},"institutions":[{"id":"https://openalex.org/I4210094945","display_name":"Methodology and Quality of Life Unit in Oncology","ror":"https://ror.org/00n1qg914","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210087978","https://openalex.org/I4210094945","https://openalex.org/I4210155509"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Julie Henriques","raw_affiliation_strings":["Methodology and Quality of Life in Oncology Unit, CHRU Besan\u00e7on, F-25000 Besan\u00e7on, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Methodology and Quality of Life in Oncology Unit, CHRU Besan\u00e7on, F-25000 Besan\u00e7on, France","institution_ids":["https://openalex.org/I4210094945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047202175","display_name":"Laurent Larger","orcid":"https://orcid.org/0000-0003-1245-1602"},"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/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]},{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Laurent Larger","raw_affiliation_strings":["FEMTO-ST, UMR CNRS 6174, University Bourgogne Franche-Comt\u00e9, F-25030 Besan\u00e7on cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FEMTO-ST, UMR CNRS 6174, University Bourgogne Franche-Comt\u00e9, F-25030 Besan\u00e7on cedex, France","institution_ids":["https://openalex.org/I4210118524","https://openalex.org/I2802759292","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072304172","display_name":"Juan\u2010Pablo Ortega","orcid":"https://orcid.org/0000-0002-5412-9622"},"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/I202963720","display_name":"University of St.Gallen","ror":"https://ror.org/0561a3s31","country_code":"CH","type":"education","lineage":["https://openalex.org/I202963720"]}],"countries":["CH","FR"],"is_corresponding":true,"raw_author_name":"Juan-Pablo Ortega","raw_affiliation_strings":["Faculty of Mathematics and Statistics, Universit\u00e4t Sankt Gallen, CH-9000, Sankt Gallen, Switzerland, and Centre National de la Recherche Scientifique, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Universit\u00e4t Sankt Gallen, CH-9000, Sankt Gallen, Switzerland, and Centre National de la Recherche Scientifique, France","institution_ids":["https://openalex.org/I202963720","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047202175","https://openalex.org/A5072304172","https://openalex.org/A5087676185","https://openalex.org/A5108712278"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I189712700","https://openalex.org/I202963720","https://openalex.org/I2802759292","https://openalex.org/I4210094945","https://openalex.org/I4210118524"],"apc_list":null,"apc_paid":null,"fwci":3.9744,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9419079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"28","issue":"7","first_page":"1411","last_page":"1451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9854000210762024,"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/T10320","display_name":"Neural Networks and Applications","score":0.9506000280380249,"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/reservoir-computing","display_name":"Reservoir computing","score":0.7701517343521118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7527633905410767},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5535778999328613},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5272437930107117},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5198003053665161},{"id":"https://openalex.org/keywords/human-multitasking","display_name":"Human multitasking","score":0.5189313888549805},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5091521143913269},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.48660099506378174},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4252357482910156},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33840757608413696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2267090380191803},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19185426831245422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12428927421569824},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.10486498475074768},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09225523471832275}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.7701517343521118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527633905410767},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5535778999328613},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5272437930107117},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5198003053665161},{"id":"https://openalex.org/C107418235","wikidata":"https://www.wikidata.org/wiki/Q1520565","display_name":"Human multitasking","level":2,"score":0.5189313888549805},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5091521143913269},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.48660099506378174},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4252357482910156},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33840757608413696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2267090380191803},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19185426831245422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12428927421569824},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.10486498475074768},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09225523471832275},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_00845","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00845","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:27172266","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27172266","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5186408476","display_name":"Brain-Inspired PHOtonic PROCessor","funder_award_id":"ANR-14-OHRI-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320307065","display_name":"Schlumberger Foundation","ror":"https://ror.org/03daw3m97"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1874509609","https://openalex.org/W1965702053","https://openalex.org/W1972676371","https://openalex.org/W1975581800","https://openalex.org/W1977664984","https://openalex.org/W2001263627","https://openalex.org/W2016008736","https://openalex.org/W2022248835","https://openalex.org/W2023631060","https://openalex.org/W2036451492","https://openalex.org/W2092152122","https://openalex.org/W2094631910","https://openalex.org/W2103179919","https://openalex.org/W2113132555","https://openalex.org/W2118706537","https://openalex.org/W2159682675","https://openalex.org/W2163062501","https://openalex.org/W2169762136","https://openalex.org/W2171865010","https://openalex.org/W2371946849","https://openalex.org/W2471993043","https://openalex.org/W2481195950","https://openalex.org/W2738021434","https://openalex.org/W2947626232","https://openalex.org/W2950193381","https://openalex.org/W3101465594","https://openalex.org/W3125014870","https://openalex.org/W3146166473","https://openalex.org/W3148198191","https://openalex.org/W3179903767","https://openalex.org/W4241115065","https://openalex.org/W4301621763"],"related_works":["https://openalex.org/W4388263628","https://openalex.org/W4242930893","https://openalex.org/W1988895983","https://openalex.org/W3140336604","https://openalex.org/W2488058330","https://openalex.org/W2940047422","https://openalex.org/W4237084280","https://openalex.org/W4242426637","https://openalex.org/W132134666","https://openalex.org/W2564915896"],"abstract_inverted_index":{"This":[0],"letter":[1],"addresses":[2],"the":[3,8,40,47,54,58,63,70,77,80,91,94,98,107,119,123,138],"reservoir":[4,12,26,41,81,104,125],"design":[5],"problem":[6],"in":[7,30,46,62,106,137],"context":[9,65],"of":[10,49,57,72,79,93,109,122],"delay-based":[11],"computers":[13],"for":[14],"multidimensional":[15,114],"input":[16],"signals,":[17],"parallel":[18,124],"architectures,":[19],"and":[20,43,132],"real-time":[21],"multitasking.":[22],"First,":[23],"an":[24,35,84],"approximating":[25],"model":[27],"is":[28,87],"presented":[29],"those":[31],"frameworks":[32],"that":[33,89],"provides":[34],"explicit":[36],"functional":[37],"link":[38],"between":[39],"architecture":[42,126],"its":[44],"performance":[45],"execution":[48,108],"a":[50],"specific":[51],"task.":[52],"Second,":[53],"inference":[55],"properties":[56,121],"ridge":[59],"regression":[60],"estimator":[61],"multivariate":[64],"are":[66],"used":[67],"to":[68,129],"assess":[69],"impact":[71],"finite":[73],"sample":[74],"training":[75],"on":[76],"decrease":[78],"capacity.":[82],"Finally,":[83],"empirical":[85,99],"study":[86],"conducted":[88],"shows":[90],"adequacy":[92],"theoretical":[95],"results":[96,117],"with":[97,113,127],"performances":[100],"exhibited":[101],"by":[102],"various":[103],"architectures":[105],"several":[110],"nonlinear":[111],"tasks":[112],"inputs.":[115],"Our":[116],"confirm":[118],"robustness":[120],"respect":[128],"task":[130],"misspecification":[131],"parameter":[133],"choice":[134],"already":[135],"documented":[136],"literature.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
