{"id":"https://openalex.org/W7138864200","doi":"https://doi.org/10.48550/arxiv.2603.16909","title":"Chaotic Oscillator Networks for Classification Tasks","display_name":"Chaotic Oscillator Networks for Classification Tasks","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7138864200","doi":"https://doi.org/10.48550/arxiv.2603.16909"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.16909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16909","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.16909","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129771309","display_name":"Toni Ivas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ivas, Toni","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040720226","display_name":"Georgios Violakis","orcid":"https://orcid.org/0000-0001-8429-2888"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Violakis, Georgios","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129921563","display_name":"Roland Richter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richter, Roland","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129161168","display_name":"Patrik Hoffmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoffmann, Patrik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129862314","display_name":"Sergey Shevchik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shevchik, Sergey","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5129771309"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.39730000495910645,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.39730000495910645,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.33239999413490295,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.04019999876618385,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7271000146865845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.557699978351593},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.42419999837875366},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4153999984264374},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.3847000002861023},{"id":"https://openalex.org/keywords/universality","display_name":"Universality (dynamical systems)","score":0.3797999918460846},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3716000020503998},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.3361999988555908}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7271000146865845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952000260353088},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.557699978351593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5273000001907349},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.42419999837875366},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4153999984264374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39329999685287476},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C183992945","wikidata":"https://www.wikidata.org/wiki/Q2495574","display_name":"Universality (dynamical systems)","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.32359999418258667},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C2987469083","wikidata":"https://www.wikidata.org/wiki/Q166314","display_name":"Chaotic systems","level":3,"score":0.2802000045776367},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2669999897480011}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.16909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16909","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.16909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16909","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Chaotic":[0],"oscillators":[1,85,216],"have":[2,33],"gained":[3],"significant":[4,56],"attention":[5],"in":[6,26,105,174],"the":[7,18,27,36,55,69,72,76,94,123,127,133,142,147,156,159,194,201,215,224],"research":[8],"community":[9],"because":[10],"of":[11,21,29,38,58,71,78,83,108,158,193,203,223,256],"their":[12,218],"ability":[13],"to":[14,35,54,140,154],"reproduce":[15],"and":[16,61,138,170,182,217,239,254],"investigate":[17],"complex":[19],"dynamics":[20,157],"real-world":[22],"phenomena.":[23],"Recent":[24],"advances":[25,68],"design":[28],"chaotic":[30,110],"oscillator":[31,161,257],"ensembles":[32,82],"led":[34],"development":[37],"efficient":[39],"signal":[40],"processing":[41,80,95],"frameworks":[42],"that":[43,86,196,228],"surpass":[44],"traditional":[45,134],"approaches.":[46],"However,":[47],"scaling":[48],"such":[49],"systems":[50],"remains":[51],"challenging":[52],"due":[53],"increase":[57],"computational":[59],"resources":[60],"issues":[62],"with":[63,81,210],"training":[64,150,253],"convergence.":[65],"This":[66],"study":[67],"state":[70],"art":[73],"by":[74,113,121,208],"addressing":[75],"problem":[77],"data":[79,115,169],"nonlinear":[84],"can":[87],"be":[88],"scaled":[89],"up.":[90],"In":[91],"our":[92],"approach,":[93],"is":[96,119,165,206,227],"achieved":[97],"as":[98,190],"an":[99,172,191],"anticipated":[100],"local":[101],"resonance":[102,118],"or":[103],"echo":[104],"a":[106],"group":[107],"coupled":[109],"oscillators,":[111,128],"driven":[112],"external":[114],"input.":[116],"Local":[117],"enabled":[120],"tuning":[122],"coupling":[124,233],"terms":[125],"between":[126,214],"which":[129,235],"are":[130,186],"approximated":[131],"using":[132,167],"artificial":[135],"neural":[136,152],"network":[137,153],"adapted":[139],"match":[141],"input":[143],"feature":[144],"distributions.":[145],"Training":[146],"framework":[148,164,226],"entails":[149],"this":[151,204],"capture":[155],"entire":[160],"system.":[162],"The":[163,220],"evaluated":[166],"synthetic":[168],"demonstrates":[171],"accuracy":[173],"machine":[175,248],"learning":[176,249],"classification":[177],"task,":[178],"while":[179],"patterns":[180],"recognition":[181],"dynamic":[183],"system":[184],"identification":[185],"also":[187],"presented":[188],"here":[189],"extension":[192],"functionality":[195],"involves":[197],"additional":[198],"modifications.":[199],"Additionally,":[200],"universality":[202],"approach":[205],"demonstrated":[207],"tests":[209],"different":[211],"connections":[212],"configurations":[213],"types.":[219],"main":[221],"advantage":[222],"proposed":[225],"it":[229],"avoids":[230],"hand-crafting":[231],"explicit":[232],"terms,":[234],"requires":[236],"expert":[237],"knowledge":[238],"does":[240],"not":[241],"scale":[242],"for":[243],"large":[244],"problems.":[245],"Leveraging":[246],"standard":[247],"components":[250],"simplifies":[251],"both":[252],"deployment":[255],"networks,":[258],"enabling":[259],"gradient-based":[260],"optimization.":[261]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}