{"id":"https://openalex.org/W2897903328","doi":"https://doi.org/10.1109/ijcnn.2018.8489475","title":"Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans","display_name":"Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897903328","doi":"https://doi.org/10.1109/ijcnn.2018.8489475","mag":"2897903328"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5026130715","display_name":"Natasza Marrouch","orcid":"https://orcid.org/0000-0003-4984-0812"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Natasza Marrouch","raw_affiliation_strings":["Department of Psychological Sciences, University of Connecticut, Mansfield, CT, United States"],"affiliations":[{"raw_affiliation_string":"Department of Psychological Sciences, University of Connecticut, Mansfield, CT, United States","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104669084","display_name":"Heather L. Read","orcid":"https://orcid.org/0000-0001-7558-4758"},"institutions":[{"id":"https://openalex.org/I2802964274","display_name":"Interface (United States)","ror":"https://ror.org/04nvtmr42","country_code":"US","type":"company","lineage":["https://openalex.org/I2802964274"]},{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heather L. Read","raw_affiliation_strings":["Director of Brain Computer Interface Cor, University of Connecticut, Mansfield, CT, United States"],"affiliations":[{"raw_affiliation_string":"Director of Brain Computer Interface Cor, University of Connecticut, Mansfield, CT, United States","institution_ids":["https://openalex.org/I140172145","https://openalex.org/I2802964274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065096577","display_name":"Joanna S\u0142awi\u0144ska","orcid":"https://orcid.org/0000-0003-3099-5136"},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joanna Slawinska","raw_affiliation_strings":["Department of Physics, University of Wisconsin-Milwaukee, Milwaukee, WI, United States"],"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Wisconsin-Milwaukee, Milwaukee, WI, United States","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076538541","display_name":"Dimitrios Giannakis","orcid":"https://orcid.org/0000-0002-4220-0313"},"institutions":[{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitrios Giannakis","raw_affiliation_strings":["Courant Institute of Mathematical Sciences, New York University, New York, NY, United States"],"affiliations":[{"raw_affiliation_string":"Courant Institute of Mathematical Sciences, New York University, New York, NY, United States","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026130715"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":0.2469,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54274392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"97","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9987000226974487,"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":0.9987000226974487,"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/T10320","display_name":"Neural Networks and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9886999726295471,"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/mismatch-negativity","display_name":"Mismatch negativity","score":0.6542325019836426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6043847799301147},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5452544689178467},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5274282693862915},{"id":"https://openalex.org/keywords/marmoset","display_name":"Marmoset","score":0.4779510498046875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4437129497528076},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.44106659293174744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4283195734024048},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20666849613189697},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14281323552131653}],"concepts":[{"id":"https://openalex.org/C21715850","wikidata":"https://www.wikidata.org/wiki/Q2720968","display_name":"Mismatch negativity","level":3,"score":0.6542325019836426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6043847799301147},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5452544689178467},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5274282693862915},{"id":"https://openalex.org/C2776453536","wikidata":"https://www.wikidata.org/wiki/Q19829485","display_name":"Marmoset","level":2,"score":0.4779510498046875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4437129497528076},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.44106659293174744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4283195734024048},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20666849613189697},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14281323552131653},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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":57,"referenced_works":["https://openalex.org/W601222563","https://openalex.org/W898455653","https://openalex.org/W1270485898","https://openalex.org/W1595027853","https://openalex.org/W1972511154","https://openalex.org/W1981359380","https://openalex.org/W1993189925","https://openalex.org/W1997054581","https://openalex.org/W2002537496","https://openalex.org/W2033808916","https://openalex.org/W2058368564","https://openalex.org/W2058897724","https://openalex.org/W2067035505","https://openalex.org/W2068980337","https://openalex.org/W2074388175","https://openalex.org/W2078485646","https://openalex.org/W2080991705","https://openalex.org/W2084508986","https://openalex.org/W2093874564","https://openalex.org/W2096640419","https://openalex.org/W2097308346","https://openalex.org/W2119845553","https://openalex.org/W2122211455","https://openalex.org/W2147899501","https://openalex.org/W2148858712","https://openalex.org/W2163176771","https://openalex.org/W2166361350","https://openalex.org/W2178409791","https://openalex.org/W2190336928","https://openalex.org/W2225711375","https://openalex.org/W2266215813","https://openalex.org/W2324802422","https://openalex.org/W2403121157","https://openalex.org/W2418152387","https://openalex.org/W2468909797","https://openalex.org/W2524350643","https://openalex.org/W2528198563","https://openalex.org/W2563538602","https://openalex.org/W2745184613","https://openalex.org/W2767454788","https://openalex.org/W2767872083","https://openalex.org/W2804671798","https://openalex.org/W2962723334","https://openalex.org/W2963013180","https://openalex.org/W2963186138","https://openalex.org/W2963557665","https://openalex.org/W3038118776","https://openalex.org/W3105156084","https://openalex.org/W3121819743","https://openalex.org/W4213367101","https://openalex.org/W6689017555","https://openalex.org/W6695233729","https://openalex.org/W6713498820","https://openalex.org/W6730688258","https://openalex.org/W6746083950","https://openalex.org/W6752036995","https://openalex.org/W6766303940"],"related_works":["https://openalex.org/W200239088","https://openalex.org/W2120175383","https://openalex.org/W2030069468","https://openalex.org/W3184360937","https://openalex.org/W2056979996","https://openalex.org/W2029427818","https://openalex.org/W1993792734","https://openalex.org/W3158233688","https://openalex.org/W4313203779","https://openalex.org/W2213282111"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,14,27,117,123],"data-driven":[4],"method":[5],"to":[6,78],"extract":[7,32,53],"spatiotemporal":[8,105],"dynamics":[9,38],"of":[10,26,35,42,44,48,98],"mismatch":[11],"negativity":[12],"in":[13,62,113,119,125],"marmoset":[15],"monkey.":[16],"In":[17],"this,":[18],"we":[19,60,101,108],"treat":[20],"electrocorticographic":[21],"(ECoG)":[22],"data":[23],"as":[24],"observables":[25],"skew-product":[28],"dynamical":[29],"system":[30],"and":[31,76,88,95,107],"the":[33,36,40,45,65,93,99,104,126],"patterns":[34],"neural":[37],"from":[39],"point":[41],"view":[43],"operator-theoretic":[46],"formulation":[47],"ergodic":[49],"theory.":[50],"We":[51],"successfully":[52],"time-separable":[54],"frequencies":[55],"without":[56],"bandpass":[57],"filtering.":[58],"Second,":[59],"examine":[61,103],"more":[63],"detail":[64],"frequency":[66],"band":[67],"most":[68],"commonly":[69],"associated":[70],"with":[71,82],"MMN-beta-band":[72],"activity":[73],"(13-20":[74],"Hz)":[75],"proceed":[77],"cross-validate":[79],"our":[80],"results":[81],"those":[83],"obtained":[84],"by":[85,116],"Komatsu,":[86],"Takaura,":[87],"Fuji":[89],"(2015).":[90],"Having":[91],"ensured":[92],"compatibility":[94],"statistical":[96],"significance":[97],"results,":[100],"then":[102],"dynamics,":[106],"find":[109],"that":[110],"MMN":[111],"is":[112],"part":[114],"driven":[115],"synchronization":[118],"brain":[120],"response":[121],"following":[122],"deviation":[124],"auditory":[127],"stimuli.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}