{"id":"https://openalex.org/W4388117976","doi":"https://doi.org/10.23919/eusipco58844.2023.10290063","title":"Nonlinear Causality Inference Using a Robust ERR-Based Method in the Context of Epilepsy","display_name":"Nonlinear Causality Inference Using a Robust ERR-Based Method in the Context of Epilepsy","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388117976","doi":"https://doi.org/10.23919/eusipco58844.2023.10290063"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10290063","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092535644","display_name":"Marc Greige","orcid":"https://orcid.org/0009-0009-1706-2383"},"institutions":[{"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/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marc Greige","raw_affiliation_strings":["Univ Rennes, Inserm, LTSI - UMR 1099,Rennes,France,F-35000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ Rennes, Inserm, LTSI - UMR 1099,Rennes,France,F-35000","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061193533","display_name":"Ahmad Karfoul","orcid":"https://orcid.org/0000-0002-3977-9141"},"institutions":[{"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/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ahmad Karfoul","raw_affiliation_strings":["Univ Rennes, Inserm, LTSI - UMR 1099,Rennes,France,F-35000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ Rennes, Inserm, LTSI - UMR 1099,Rennes,France,F-35000","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042819031","display_name":"Isabelle Merlet","orcid":"https://orcid.org/0000-0003-2590-6848"},"institutions":[{"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/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Isabelle Merlet","raw_affiliation_strings":["Univ Rennes, Inserm, LTSI - UMR 1099,Rennes,France,F-35000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ Rennes, Inserm, LTSI - UMR 1099,Rennes,France,F-35000","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061343855","display_name":"R\u00e9gine Le Bouquin Jeann\u00e8s","orcid":"https://orcid.org/0000-0002-4050-2895"},"institutions":[{"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/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R\u00e9gine Le Bouquin Jeann\u00e8s","raw_affiliation_strings":["Univ Rennes, Inserm, LTSI - UMR 1099,Rennes,France,F-35000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ Rennes, Inserm, LTSI - UMR 1099,Rennes,France,F-35000","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16319119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1639","last_page":"1643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9976000189781189,"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/spurious-relationship","display_name":"Spurious relationship","score":0.7925184965133667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5917912125587463},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5698636174201965},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5463907122612},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.542875349521637},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5251362323760986},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4533878266811371},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43314722180366516},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.42526161670684814},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4143245816230774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3858028054237366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3308589458465576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3117052912712097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1177239716053009}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7925184965133667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917912125587463},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5698636174201965},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5463907122612},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.542875349521637},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5251362323760986},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4533878266811371},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43314722180366516},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.42526161670684814},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4143245816230774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3858028054237366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3308589458465576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3117052912712097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1177239716053009},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10290063","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04350513v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04350513","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO), Sep 2023, Helsinki, Finland. ⟨10.23919/eusipco58844.2023.10290063⟩","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":14,"referenced_works":["https://openalex.org/W1997629775","https://openalex.org/W2022655370","https://openalex.org/W2055899260","https://openalex.org/W2073616320","https://openalex.org/W2086938080","https://openalex.org/W2116641053","https://openalex.org/W2178225550","https://openalex.org/W2316029405","https://openalex.org/W2889413105","https://openalex.org/W2991283300","https://openalex.org/W4230578485","https://openalex.org/W4250589301","https://openalex.org/W4292363360","https://openalex.org/W6649621881"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631","https://openalex.org/W2519167559","https://openalex.org/W4311248832","https://openalex.org/W3121164913"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,44],"robust":[4,82],"error":[5],"reduction":[6],"ratio":[7],"based":[8],"method":[9,23,62,84],"is":[10,55,85],"proposed":[11,22],"for":[12],"the":[13,26,33,48,58,71,78,88],"estimation":[14],"of":[15,28,47,63,70,90],"nonlinear":[16],"causality":[17],"among":[18],"dynamic":[19],"systems.":[20],"The":[21,81],"copes":[24],"with":[25,66],"issue":[27],"spurious":[29,38],"solutions":[30,39],"inherent":[31],"to":[32],"original":[34],"ERR-based":[35,83],"method.":[36],"These":[37],"are":[40],"removed":[41],"by":[42],"considering":[43],"sparse":[45,53],"representation":[46,54],"model":[49],"coefficient":[50],"vector.":[51],"This":[52],"recovered":[56],"using":[57,77],"well-known":[59],"alternating":[60],"direction":[61],"multipliers":[64],"combined":[65],"an":[67],"optimal":[68],"computation":[69],"regularization":[72],"parameter":[73],"at":[74],"each":[75],"iteration":[76],"discrepancy":[79],"principle.":[80],"evaluated":[86],"in":[87,95],"context":[89],"inferring":[91],"brain":[92],"effective":[93],"connectivity":[94],"epilepsy.":[96],"Results":[97],"obtained":[98],"on":[99],"simulated":[100],"and":[101],"real":[102],"intracerebral":[103],"electroencephalographic":[104],"signals":[105],"confirm":[106],"its":[107],"efficiency.":[108]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}