{"id":"https://openalex.org/W2026875249","doi":"https://doi.org/10.1109/acssc.2013.6810396","title":"Causality in variance in electrophysiological data using the ARCH model","display_name":"Causality in variance in electrophysiological data using the ARCH model","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2026875249","doi":"https://doi.org/10.1109/acssc.2013.6810396","mag":"2026875249"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2013.6810396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2013.6810396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asilomar Conference on Signals, Systems and Computers","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/A5077293671","display_name":"Syed Ashrafulla","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed Ashrafulla","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031370363","display_name":"Justin P. Haldar","orcid":"https://orcid.org/0000-0002-1838-0211"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin P. Haldar","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041475859","display_name":"John C. Mosher","orcid":"https://orcid.org/0000-0002-3221-229X"},"institutions":[{"id":"https://openalex.org/I1316902750","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John C. Mosher","raw_affiliation_strings":["Epilepsy Center, Cleveland, OH, USA","Epilepsy Center, Cleveland Clinic, Cleveland, OH 44195, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epilepsy Center, Cleveland, OH, USA","institution_ids":[]},{"raw_affiliation_string":"Epilepsy Center, Cleveland Clinic, Cleveland, OH 44195, USA","institution_ids":["https://openalex.org/I1316902750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054387045","display_name":"Richard M. Leahy","orcid":"https://orcid.org/0000-0002-7278-5471"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard M. Leahy","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"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":"4","issue":null,"first_page":"798","last_page":"802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9944000244140625,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9937000274658203,"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/causality","display_name":"Causality (physics)","score":0.7796154022216797},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7730346918106079},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.7346971035003662},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6839485168457031},{"id":"https://openalex.org/keywords/arch","display_name":"Arch","score":0.5741671919822693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5621060729026794},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46220138669013977},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4359997808933258},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4067223072052002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3665228486061096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2654693126678467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2300187647342682},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09913703799247742}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7796154022216797},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7730346918106079},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.7346971035003662},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6839485168457031},{"id":"https://openalex.org/C11312509","wikidata":"https://www.wikidata.org/wiki/Q12277","display_name":"Arch","level":2,"score":0.5741671919822693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5621060729026794},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46220138669013977},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4359997808933258},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4067223072052002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3665228486061096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2654693126678467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2300187647342682},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09913703799247742},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/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},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2013.6810396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2013.6810396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W14357782","https://openalex.org/W210359992","https://openalex.org/W1498940341","https://openalex.org/W1600080087","https://openalex.org/W1607114662","https://openalex.org/W1658041910","https://openalex.org/W1946620893","https://openalex.org/W1969143601","https://openalex.org/W1973179437","https://openalex.org/W1975876282","https://openalex.org/W1977480757","https://openalex.org/W2002933568","https://openalex.org/W2007926406","https://openalex.org/W2018395078","https://openalex.org/W2025371899","https://openalex.org/W2040827790","https://openalex.org/W2069023840","https://openalex.org/W2104798680","https://openalex.org/W2164278908","https://openalex.org/W2167822639","https://openalex.org/W2178225550","https://openalex.org/W3123883419","https://openalex.org/W3141704984","https://openalex.org/W4254006026","https://openalex.org/W4292363360","https://openalex.org/W6789859743"],"related_works":["https://openalex.org/W1676609285","https://openalex.org/W3148934225","https://openalex.org/W2351648145","https://openalex.org/W2038165226","https://openalex.org/W2351700194","https://openalex.org/W1813077521","https://openalex.org/W2052845382","https://openalex.org/W2370180072","https://openalex.org/W3168322612","https://openalex.org/W4254549582"],"abstract_inverted_index":{"Measurements":[0],"of":[1,13,24],"electrophysiological":[2],"activity":[3],"can":[4],"be":[5],"used":[6],"to":[7,31],"infer":[8],"interactions":[9],"between":[10,36],"different":[11,37],"regions":[12,39],"the":[14,22,60,70],"human":[15],"brain.":[16],"In":[17],"this":[18],"work,":[19],"we":[20],"consider":[21],"use":[23],"an":[25,49],"autoregressive":[26],"conditional":[27],"heteroscedasticity":[28],"(ARCH)":[29],"model":[30,55],"estimate":[32],"causality":[33,71,80],"in":[34,40],"variance":[35],"brain":[38],"simulation":[41],"and":[42,57,76],"continuously":[43],"measured":[44],"EEG":[45],"data.":[46],"We":[47],"propose":[48],"efficient":[50],"new":[51],"algorithm":[52],"for":[53],"ARCH":[54],"estimation":[56],"demonstrate":[58],"that":[59,66],"proposed":[61],"approach":[62],"provides":[63],"promising":[64],"results":[65],"are":[67],"distinct":[68],"from":[69,74],"estimates":[72],"obtained":[73],"simpler":[75],"more":[77],"conventional":[78],"signal":[79],"models.":[81]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}