{"id":"https://openalex.org/W2592916702","doi":"https://doi.org/10.1109/acssc.2016.7869111","title":"Probing the functional circuitry underlying auditory attention via dynamic granger causality analysis","display_name":"Probing the functional circuitry underlying auditory attention via dynamic granger causality analysis","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2592916702","doi":"https://doi.org/10.1109/acssc.2016.7869111","mag":"2592916702"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2016.7869111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","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/A5055932656","display_name":"Alireza Sheikhattar","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alireza Sheikhattar","raw_affiliation_strings":["Institute for Systems Research (ISR), University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems Research (ISR), University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011288153","display_name":"Sina Miran","orcid":"https://orcid.org/0000-0003-4840-5739"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sina Miran","raw_affiliation_strings":["Institute for Systems Research (ISR), University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems Research (ISR), University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040170470","display_name":"Jonathan B. Fritz","orcid":"https://orcid.org/0000-0002-0625-172X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan B. Fritz","raw_affiliation_strings":["Institute for Systems Research (ISR), University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems Research (ISR), University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057113698","display_name":"Shihab Shamma","orcid":"https://orcid.org/0000-0002-1283-6804"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shihab A. Shamma","raw_affiliation_strings":["Institute for Systems Research (ISR), University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems Research (ISR), University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041600605","display_name":"Behtash Babadi","orcid":"https://orcid.org/0000-0002-9856-006X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behtash Babadi","raw_affiliation_strings":["Institute for Systems Research (ISR), University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems Research (ISR), University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.1682,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59151734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"593","last_page":"597"},"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":0.9958000183105469,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9848999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.8436883687973022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6448056697845459},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.6074130535125732},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5977823734283447},{"id":"https://openalex.org/keywords/deviance","display_name":"Deviance (statistics)","score":0.5336281657218933},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.43545883893966675},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.4260755479335785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3485555052757263},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3370588421821594},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.31343042850494385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18328732252120972},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15241041779518127},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11943811178207397}],"concepts":[{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.8436883687973022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6448056697845459},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.6074130535125732},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5977823734283447},{"id":"https://openalex.org/C177599991","wikidata":"https://www.wikidata.org/wiki/Q3706279","display_name":"Deviance (statistics)","level":2,"score":0.5336281657218933},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.43545883893966675},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.4260755479335785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3485555052757263},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3370588421821594},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.31343042850494385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18328732252120972},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15241041779518127},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11943811178207397}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2016.7869111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},{"id":"mag:2749737859","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201702240958891245","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1486579070","https://openalex.org/W1964769652","https://openalex.org/W1999567494","https://openalex.org/W2019841176","https://openalex.org/W2051911325","https://openalex.org/W2066009496","https://openalex.org/W2066400502","https://openalex.org/W2110065044","https://openalex.org/W2121283470","https://openalex.org/W2133280087","https://openalex.org/W2136562407","https://openalex.org/W2178225550","https://openalex.org/W2234984629","https://openalex.org/W2343951730","https://openalex.org/W4231726431","https://openalex.org/W6629058066"],"related_works":["https://openalex.org/W126301054","https://openalex.org/W4251195004","https://openalex.org/W2127540830","https://openalex.org/W2915014248","https://openalex.org/W3146892535","https://openalex.org/W3122103894","https://openalex.org/W2103930790","https://openalex.org/W2109743056","https://openalex.org/W2163650224","https://openalex.org/W2050590946"],"abstract_inverted_index":{"We":[0,20,40,64],"consider":[1],"the":[2,60,73,89,96],"problem":[3],"of":[4,50,82],"inferring":[5],"time-varying":[6],"Granger":[7,24],"causal":[8],"interactions":[9],"among":[10],"multiple":[11],"simultaneously":[12],"recorded":[13,71],"spike":[14],"trains":[15],"from":[16,72],"a":[17,22,42,54,80],"neuronal":[18,97],"ensemble.":[19],"present":[21],"dynamic":[23],"causality":[25],"measure":[26],"with":[27],"sparsity":[28],"and":[29,36,52,76],"adaptivity":[30],"features":[31],"for":[32],"point":[33],"process":[34],"observations,":[35],"estimate":[37],"it":[38],"recursively.":[39],"develop":[41],"statistical":[43],"inference":[44],"framework":[45],"based":[46],"on":[47],"asymptotic":[48],"analysis":[49],"deviance,":[51],"perform":[53],"multiple-hypothesis":[55],"testing":[56],"procedure":[57],"to":[58,68,87],"control":[59],"false":[61],"discovery":[62],"rate.":[63],"apply":[65],"our":[66],"method":[67],"electrophysiology":[69],"data":[70],"ferrets":[74],"auditory":[75,83,93],"prefrontal":[77],"cortices":[78],"during":[79],"series":[81],"tasks":[84],"in":[85],"order":[86],"probe":[88],"functional":[90],"circuitry":[91],"underlying":[92],"attention":[94],"at":[95],"scale.":[98]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}