{"id":"https://openalex.org/W2569519189","doi":"https://doi.org/10.1109/cdc.2016.7798905","title":"On brain modeling in resting-state as a network of coupled oscillators","display_name":"On brain modeling in resting-state as a network of coupled oscillators","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2569519189","doi":"https://doi.org/10.1109/cdc.2016.7798905","mag":"2569519189"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2016.7798905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7798905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","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/A5068507598","display_name":"Chiara Favaretto","orcid":"https://orcid.org/0000-0002-4338-2008"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Chiara Favaretto","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033437862","display_name":"Angelo Cenedese","orcid":"https://orcid.org/0000-0003-2249-5094"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Angelo Cenedese","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068507598"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18224507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4190","last_page":"4195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9919000267982483,"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/kuramoto-model","display_name":"Kuramoto model","score":0.8623690605163574},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.733646810054779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6780213713645935},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.644981861114502},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.6292093992233276},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5161612629890442},{"id":"https://openalex.org/keywords/network-dynamics","display_name":"Network dynamics","score":0.5093432664871216},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47719892859458923},{"id":"https://openalex.org/keywords/synchronization-networks","display_name":"Synchronization networks","score":0.46468663215637207},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.4572025239467621},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4551844298839569},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.448371559381485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3145647943019867},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.27386996150016785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14968258142471313},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11381486058235168},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08813697099685669}],"concepts":[{"id":"https://openalex.org/C2780042749","wikidata":"https://www.wikidata.org/wiki/Q604374","display_name":"Kuramoto model","level":4,"score":0.8623690605163574},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.733646810054779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780213713645935},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.644981861114502},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.6292093992233276},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5161612629890442},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.5093432664871216},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47719892859458923},{"id":"https://openalex.org/C111097370","wikidata":"https://www.wikidata.org/wiki/Q10969923","display_name":"Synchronization networks","level":4,"score":0.46468663215637207},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.4572025239467621},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4551844298839569},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.448371559381485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3145647943019867},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.27386996150016785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14968258142471313},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11381486058235168},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08813697099685669},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2016.7798905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7798905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3221307","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/document/7798905/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1973272857","https://openalex.org/W2001395894","https://openalex.org/W2003148418","https://openalex.org/W2005644553","https://openalex.org/W2009375605","https://openalex.org/W2012831081","https://openalex.org/W2061191702","https://openalex.org/W2063497316","https://openalex.org/W2075032588","https://openalex.org/W2093492509","https://openalex.org/W2117663940","https://openalex.org/W2119443761","https://openalex.org/W2151374846","https://openalex.org/W2159777593","https://openalex.org/W2159929956","https://openalex.org/W2289396059","https://openalex.org/W2291611858"],"related_works":["https://openalex.org/W3118528670","https://openalex.org/W2065303481","https://openalex.org/W2085782938","https://openalex.org/W2969606317","https://openalex.org/W2169358986","https://openalex.org/W2282239531","https://openalex.org/W1805674502","https://openalex.org/W3016257800","https://openalex.org/W3034531283","https://openalex.org/W2038043413"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,10,20,29,40,47,66,135],"emergent":[3],"synchronization":[4],"patterns":[5],"in":[6,17,69,99,108,145],"a":[7,18,26,45,79,105,133],"complex":[8],"network":[9,46],"coupled":[11],"oscillators":[12],"has":[13,33,87],"caught":[14],"scientists'":[15],"interest":[16],"lot":[19],"different":[21,48,63],"disciplines.":[22],"In":[23,57,73,125],"particular,":[24],"from":[25,104],"biological":[27],"point":[28],"view,":[30],"considerable":[31],"attention":[32],"been":[34,88],"recently":[35],"devoted":[36],"to":[37,83,90,131,139],"the":[38,41,76,92,96],"study":[39],"human":[42],"brain":[43,101,149],"as":[44],"cortical":[49],"regions":[50],"that":[51],"show":[52],"coherent":[53],"activity":[54],"during":[55],"resting-state.":[56],"literature,":[58],"there":[59],"can":[60],"be":[61],"found":[62],"large-scale":[64,123],"models":[65],"resting-state":[67],"dynamics":[68],"health":[70],"and":[71,95,117,147],"disease.":[72],"this":[74,109,114],"context,":[75],"Kuramoto":[77],"model,":[78],"classical":[80],"model":[81,116],"apt":[82],"describe":[84],"oscillators'":[85],"dynamics,":[86],"extended":[89],"capture":[91],"spatial":[93],"displacement":[94],"communication":[97],"conditions":[98],"such":[100],"network.":[102],"Starting":[103],"previous":[106],"work":[107],"field":[110],"[1],":[111],"we":[112],"analyze":[113],"modified":[115],"compare":[118],"it":[119],"with":[120],"other":[121],"existing":[122],"models.":[124],"doing":[126],"so,":[127],"our":[128],"aim":[129],"is":[130],"promote":[132],"set":[134],"mathematical":[136],"tools":[137],"useful":[138],"better":[140],"understand":[141],"real":[142],"experimental":[143],"data":[144],"neuroscience":[146],"estimate":[148],"dynamics.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}