{"id":"https://openalex.org/W2952311516","doi":"https://doi.org/10.1371/journal.pcbi.1005893","title":"Non-linear auto-regressive models for cross-frequency coupling in neural time series","display_name":"Non-linear auto-regressive models for cross-frequency coupling in neural time series","publication_year":2017,"publication_date":"2017-12-11","ids":{"openalex":"https://openalex.org/W2952311516","doi":"https://doi.org/10.1371/journal.pcbi.1005893","mag":"2952311516","pmid":"https://pubmed.ncbi.nlm.nih.gov/29227989"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1005893","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1005893","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005893&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"preprint","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005893&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062695215","display_name":"Tom Dupr\u00e9 la Tour","orcid":"https://orcid.org/0000-0002-2674-1670"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Tom Dupr\u00e9 la Tour","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","S2A - Signal, Statistique et Apprentissage (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)"],"raw_orcid":"https://orcid.org/0000-0002-2674-1670","affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"S2A - Signal, Statistique et Apprentissage (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027665211","display_name":"Lucille Tallot","orcid":"https://orcid.org/0000-0003-4970-604X"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"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/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I2800379142","display_name":"Universit\u00e9 Paris-Seine","ror":"https://ror.org/0033vhx30","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800379142"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210086740","display_name":"Institut des Neurosciences Paris-Saclay","ror":"https://ror.org/002v40q27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210086740"]},{"id":"https://openalex.org/I4210107326","display_name":"Institut de Biologie Paris-Seine","ror":"https://ror.org/01c2cjg59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210096427","https://openalex.org/I4210107326"]},{"id":"https://openalex.org/I4389425265","display_name":"Neurosciences Paris-Seine","ror":"https://ror.org/02sps6z09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4389425265"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lucille Tallot","raw_affiliation_strings":["Neuro-PSI, Universit\u00e9 Paris-Sud, Universit\u00e9 Paris Saclay, CNRS, Orsay, France","Neuroscience Paris Seine, CNRS, INSERM, Sorbonne Universit\u00e9s, Universit\u00e9 Pierre et Marie Curie, Paris, France","NeuroPSI - Institut des Neurosciences Paris-Saclay (Centre National de la Recherche Scientifique, Unit\u00e9 Mixte de Recherche-9197 Universit\u00e9 Paris-Sud\r\nb\u00e2timent 32 Campus de Recherche de Gif-sur-Yvette\r\n1, avenue de la Terrasse\r\n91198 Gif-sur-Yvette - France)","NPS - Neuroscience Paris Seine (Campus Jussieu - 9 quai Saint-Bernard - B\u00e2timent B/4\u00e8me \u00e9tage - 75252 Paris cedex 05 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuro-PSI, Universit\u00e9 Paris-Sud, Universit\u00e9 Paris Saclay, CNRS, Orsay, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I102197404","https://openalex.org/I4210086740","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Neuroscience Paris Seine, CNRS, INSERM, Sorbonne Universit\u00e9s, Universit\u00e9 Pierre et Marie Curie, Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210107326","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"NeuroPSI - Institut des Neurosciences Paris-Saclay (Centre National de la Recherche Scientifique, Unit\u00e9 Mixte de Recherche-9197 Universit\u00e9 Paris-Sud\r\nb\u00e2timent 32 Campus de Recherche de Gif-sur-Yvette\r\n1, avenue de la Terrasse\r\n91198 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I4210086740"]},{"raw_affiliation_string":"NPS - Neuroscience Paris Seine (Campus Jussieu - 9 quai Saint-Bernard - B\u00e2timent B/4\u00e8me \u00e9tage - 75252 Paris cedex 05 - France)","institution_ids":["https://openalex.org/I4389425265","https://openalex.org/I2800379142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008760660","display_name":"Laetitia Grabot","orcid":"https://orcid.org/0000-0001-9987-5883"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4210143253","display_name":"Cognitive Neuroimaging Lab","ror":"https://ror.org/056wdpc91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210113668","https://openalex.org/I4210143253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laetitia Grabot","raw_affiliation_strings":["CEA, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France","Cognitive Neuroimaging Unit, CEA/DRF/Joliot, INSERM, Universit\u00e9 Paris-Sud, Universit\u00e9 Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, France","LCogn - Neuroimagerie cognitive (CEA 4, Place du General Leclerc 91401 ORSAY CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"Cognitive Neuroimaging Unit, CEA/DRF/Joliot, INSERM, Universit\u00e9 Paris-Sud, Universit\u00e9 Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210143253","https://openalex.org/I102197404","https://openalex.org/I277688954","https://openalex.org/I4210128565","https://openalex.org/I154526488","https://openalex.org/I2738703131"]},{"raw_affiliation_string":"LCogn - Neuroimagerie cognitive (CEA 4, Place du General Leclerc 91401 ORSAY CEDEX - France)","institution_ids":["https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079400265","display_name":"Val\u00e9rie Doy\u00e8re","orcid":"https://orcid.org/0000-0002-3851-669X"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"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/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210086740","display_name":"Institut des Neurosciences Paris-Saclay","ror":"https://ror.org/002v40q27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210086740"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Val\u00e9rie Doy\u00e8re","raw_affiliation_strings":["Neuro-PSI, Universit\u00e9 Paris-Sud, Universit\u00e9 Paris Saclay, CNRS, Orsay, France","NeuroPSI - Institut des Neurosciences Paris-Saclay (Centre National de la Recherche Scientifique, Unit\u00e9 Mixte de Recherche-9197 Universit\u00e9 Paris-Sud\r\nb\u00e2timent 32 Campus de Recherche de Gif-sur-Yvette\r\n1, avenue de la Terrasse\r\n91198 Gif-sur-Yvette - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuro-PSI, Universit\u00e9 Paris-Sud, Universit\u00e9 Paris Saclay, CNRS, Orsay, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I102197404","https://openalex.org/I4210086740","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"NeuroPSI - Institut des Neurosciences Paris-Saclay (Centre National de la Recherche Scientifique, Unit\u00e9 Mixte de Recherche-9197 Universit\u00e9 Paris-Sud\r\nb\u00e2timent 32 Campus de Recherche de Gif-sur-Yvette\r\n1, avenue de la Terrasse\r\n91198 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I4210086740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063401681","display_name":"Virginie van Wassenhove","orcid":"https://orcid.org/0000-0002-2569-5502"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4210143253","display_name":"Cognitive Neuroimaging Lab","ror":"https://ror.org/056wdpc91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210113668","https://openalex.org/I4210143253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Virginie van Wassenhove","raw_affiliation_strings":["CEA, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France","Cognitive Neuroimaging Unit, CEA/DRF/Joliot, INSERM, Universit\u00e9 Paris-Sud, Universit\u00e9 Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, France","UNICOG-U992 - Neuroimagerie cognitive - Psychologie cognitive exp\u00e9rimentale (Gif sur Yvette - France)"],"raw_orcid":"https://orcid.org/0000-0002-2569-5502","affiliations":[{"raw_affiliation_string":"CEA, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"Cognitive Neuroimaging Unit, CEA/DRF/Joliot, INSERM, Universit\u00e9 Paris-Sud, Universit\u00e9 Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210143253","https://openalex.org/I102197404","https://openalex.org/I277688954","https://openalex.org/I4210128565","https://openalex.org/I154526488","https://openalex.org/I2738703131"]},{"raw_affiliation_string":"UNICOG-U992 - Neuroimagerie cognitive - Psychologie cognitive exp\u00e9rimentale (Gif sur Yvette - France)","institution_ids":["https://openalex.org/I4210143253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108215110","display_name":"Yves Grenier","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yves Grenier","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","S2A - Signal, Statistique et Apprentissage (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"S2A - Signal, Statistique et Apprentissage (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018256474","display_name":"Alexandre Gramfort","orcid":"https://orcid.org/0000-0001-9791-4404"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandre Gramfort","raw_affiliation_strings":["CEA, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France","Inria, Universit\u00e9 Paris-Saclay, Saclay, France","LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","CEA - CEA- Saclay (CEA-Saclay Service de Physique Nucl\u00e9aire 91191 Gif-sur-Yvette - France)","IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","PARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","S2A - Signal, Statistique et Apprentissage (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"Inria, Universit\u00e9 Paris-Saclay, Saclay, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954"]},{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"CEA - CEA- Saclay (CEA-Saclay Service de Physique Nucl\u00e9aire 91191 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","institution_ids":[]},{"raw_affiliation_string":"PARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"S2A - Signal, Statistique et Apprentissage (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5062695215"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":3.8554,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.94156743,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"12","first_page":"e1005893","last_page":"e1005893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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":0.998199999332428,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9918000102043152,"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/autoregressive-model","display_name":"Autoregressive model","score":0.6590664386749268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6266794204711914},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5630715489387512},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5155558586120605},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.5092050433158875},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4868690073490143},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.4611724615097046},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4533859193325043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4399825632572174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43921196460723877},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4269437789916992},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42604875564575195},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.42466339468955994},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.32489731907844543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2362799048423767},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12451261281967163}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6590664386749268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6266794204711914},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5630715489387512},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5155558586120605},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5092050433158875},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4868690073490143},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.4611724615097046},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4533859193325043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4399825632572174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43921196460723877},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4269437789916992},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42604875564575195},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.42466339468955994},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32489731907844543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2362799048423767},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12451261281967163},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1371/journal.pcbi.1005893","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1005893","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005893&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:29227989","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29227989","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:HAL:hal-01679078v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01679078","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, 2017, 13 (12), pp.e1005893. &#x27E8;10.1371/journal.pcbi.1005893&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:RePEc:plo:pcbi00:1005893","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005893","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:a85ce97944d64ad48aec7b17d64c67e6","is_oa":true,"landing_page_url":"https://doaj.org/article/a85ce97944d64ad48aec7b17d64c67e6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 13, Iss 12, p e1005893 (2017)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/5690515","is_oa":true,"landing_page_url":"https://figshare.com/articles/dataset/Non-linear_auto-regressive_models_for_cross-frequency_coupling_in_neural_time_series/5690515","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"},{"id":"pmh:oai:pubmedcentral.nih.gov:5739510","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5739510","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1005893","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1005893","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005893&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1232325368","display_name":null,"funder_award_id":"ANR-16-CE37-0004","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G352032107","display_name":null,"funder_award_id":"ANR-16-CE37-0004-04","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G3902135670","display_name":null,"funder_award_id":"ANR-16-CE37-0004-04 AutoTime","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320324252","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952311516.pdf","grobid_xml":"https://content.openalex.org/works/W2952311516.grobid-xml"},"referenced_works_count":104,"referenced_works":["https://openalex.org/W634542829","https://openalex.org/W1525254066","https://openalex.org/W1557828622","https://openalex.org/W1606326889","https://openalex.org/W1622642999","https://openalex.org/W1653233231","https://openalex.org/W1871398124","https://openalex.org/W1902335101","https://openalex.org/W1935517055","https://openalex.org/W1965183327","https://openalex.org/W1972684380","https://openalex.org/W1976804176","https://openalex.org/W1978389345","https://openalex.org/W1979330140","https://openalex.org/W1979575715","https://openalex.org/W1981552604","https://openalex.org/W1982695759","https://openalex.org/W1984864717","https://openalex.org/W1987394457","https://openalex.org/W1987834694","https://openalex.org/W1995884203","https://openalex.org/W1996032190","https://openalex.org/W1996874802","https://openalex.org/W1998240840","https://openalex.org/W1999996900","https://openalex.org/W2005058995","https://openalex.org/W2007226897","https://openalex.org/W2016918012","https://openalex.org/W2018389776","https://openalex.org/W2019833178","https://openalex.org/W2025209343","https://openalex.org/W2026745474","https://openalex.org/W2029609684","https://openalex.org/W2030440331","https://openalex.org/W2031768652","https://openalex.org/W2038486468","https://openalex.org/W2041782669","https://openalex.org/W2055164435","https://openalex.org/W2058807673","https://openalex.org/W2058815839","https://openalex.org/W2061124896","https://openalex.org/W2063951486","https://openalex.org/W2065096279","https://openalex.org/W2067058552","https://openalex.org/W2074984699","https://openalex.org/W2077548264","https://openalex.org/W2077654090","https://openalex.org/W2079656335","https://openalex.org/W2090090048","https://openalex.org/W2090735972","https://openalex.org/W2096990001","https://openalex.org/W2098280111","https://openalex.org/W2099610690","https://openalex.org/W2101567517","https://openalex.org/W2104731571","https://openalex.org/W2106725819","https://openalex.org/W2110988482","https://openalex.org/W2112463907","https://openalex.org/W2112575160","https://openalex.org/W2113638573","https://openalex.org/W2115810652","https://openalex.org/W2122000713","https://openalex.org/W2125737923","https://openalex.org/W2127389037","https://openalex.org/W2136562407","https://openalex.org/W2138623500","https://openalex.org/W2143428876","https://openalex.org/W2145138741","https://openalex.org/W2154348072","https://openalex.org/W2155098255","https://openalex.org/W2156803951","https://openalex.org/W2159098673","https://openalex.org/W2159398806","https://openalex.org/W2162443378","https://openalex.org/W2165730296","https://openalex.org/W2168175751","https://openalex.org/W2170814877","https://openalex.org/W2178225550","https://openalex.org/W2263098707","https://openalex.org/W2341071630","https://openalex.org/W2344975321","https://openalex.org/W2509935589","https://openalex.org/W2516799295","https://openalex.org/W2526242889","https://openalex.org/W2545680715","https://openalex.org/W2563642699","https://openalex.org/W2568766977","https://openalex.org/W2570982327","https://openalex.org/W2575452488","https://openalex.org/W2585993487","https://openalex.org/W2594073024","https://openalex.org/W2604184276","https://openalex.org/W2609782503","https://openalex.org/W2612254931","https://openalex.org/W2951530296","https://openalex.org/W3093664000","https://openalex.org/W3104887532","https://openalex.org/W3144154667","https://openalex.org/W4247914945","https://openalex.org/W4321343303","https://openalex.org/W6731534992","https://openalex.org/W6784656030","https://openalex.org/W6806532002","https://openalex.org/W6850105521"],"related_works":["https://openalex.org/W2289718384","https://openalex.org/W1995675544","https://openalex.org/W200497649","https://openalex.org/W2509524819","https://openalex.org/W2012121796","https://openalex.org/W2068427817","https://openalex.org/W2952090425","https://openalex.org/W2538333368","https://openalex.org/W3127866798","https://openalex.org/W4294845631"],"abstract_inverted_index":{"We":[0,162],"address":[1],"the":[2,21,31,36,42,48,55,58,65,75,81,135,138,141,166,180,183,190,194,202],"issue":[3],"of":[4,30,35,57,74,78,137,140,182],"reliably":[5],"detecting":[6],"and":[7,27,85,89,111],"quantifying":[8],"cross-frequency":[9],"coupling":[10],"(CFC)":[11],"in":[12,109,201],"neural":[13,154],"time":[14],"series.":[15],"Based":[16],"on":[17,61,179],"non-linear":[18],"auto-regressive":[19],"models,":[20],"proposed":[22],"method":[23,40,151],"provides":[24,71],"a":[25,72,198],"generative":[26],"parametric":[28,150],"model":[29,66,76,87],"time-varying":[32],"spectral":[33],"content":[34],"signals.":[37,63],"As":[38,64],"this":[39,92],"models":[41,117],"entire":[43],"spectrum":[44,181],"simultaneously,":[45],"it":[46,69],"avoids":[47],"pitfalls":[49],"related":[50],"to":[51,97,120,171,188],"incorrect":[52],"filtering":[53,174],"or":[54],"use":[56],"Hilbert":[59],"transform":[60],"wide-band":[62],"is":[67,95],"probabilistic,":[68],"also":[70,129,163,187],"score":[73],"\"goodness":[77],"fit\"":[79],"via":[80],"likelihood,":[82],"enabling":[83,197],"easy":[84],"legitimate":[86],"selection":[88],"parameter":[90],"comparison;":[91],"data-driven":[93],"feature":[94],"unique":[96],"our":[98,149],"model-based":[99],"approach.":[100],"Using":[101,144],"three":[102],"datasets":[103],"obtained":[104,124],"with":[105,125,156],"invasive":[106],"neurophysiological":[107],"recordings":[108],"humans":[110],"rodents,":[112],"we":[113,146],"demonstrate":[114,147],"that":[115,148],"these":[116],"are":[118],"able":[119],"replicate":[121],"previous":[122],"results":[123],"other":[126],"metrics,":[127],"but":[128,186],"reveal":[130,153],"new":[131,177],"insights":[132],"such":[133],"as":[134],"influence":[136],"amplitude":[139],"slow":[142],"oscillation.":[143],"simulations,":[145],"can":[152,168],"couplings":[155],"shorter":[157],"signals":[158],"than":[159],"non-parametric":[160],"methods.":[161],"show":[164],"how":[165],"likelihood":[167],"be":[169],"used":[170],"find":[172],"optimal":[173,191],"parameters,":[175],"suggesting":[176],"properties":[178],"driving":[184],"signal,":[185],"estimate":[189],"delay":[192],"between":[193],"coupled":[195],"signals,":[196],"directionality":[199],"estimation":[200],"coupling.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2019-06-27T00:00:00"}
