{"id":"https://openalex.org/W2147331760","doi":"https://doi.org/10.1109/mlsp.2011.6064590","title":"Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection","display_name":"Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2147331760","doi":"https://doi.org/10.1109/mlsp.2011.6064590","mag":"2147331760"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2011.6064590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2011.6064590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Machine Learning for Signal Processing","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/A5042937962","display_name":"Fengyu Cong","orcid":"https://orcid.org/0000-0003-0058-2429"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Fengyu Cong","raw_affiliation_strings":["Department of Mathematical Information Technology, University of Jyv\u00e4skyl\u00e4, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Information Technology, University of Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073223793","display_name":"Zhaoshui He","orcid":"https://orcid.org/0000-0001-5198-7851"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Zhaoshui He","raw_affiliation_strings":["Faculty of Automation, Guangdong University of Technology, Guangzhou, China","Lab for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Lab for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan","institution_ids":["https://openalex.org/I2800939219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066484025","display_name":"Jarmo A. H\u00e4m\u00e4l\u00e4inen","orcid":"https://orcid.org/0000-0001-7188-8148"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jarmo Hamalainen","raw_affiliation_strings":["Department of Psychology, University of Jyv\u00e4skyl\u00e4, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018676117","display_name":"Andrzej Cichocki","orcid":"https://orcid.org/0000-0002-8364-7226"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Andrzej Cichocki","raw_affiliation_strings":["Lab for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Lab for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan","institution_ids":["https://openalex.org/I2800939219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086891852","display_name":"Tapani Ristaniemi","orcid":"https://orcid.org/0000-0002-8461-3968"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tapani Ristaniemi","raw_affiliation_strings":["Department of Mathematical Information Technology, University of Jyv\u00e4skyl\u00e4, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Information Technology, University of Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042937962"],"corresponding_institution_ids":["https://openalex.org/I94722563"],"apc_list":null,"apc_paid":null,"fwci":3.3685,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93286313,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9979000091552734,"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":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7342844009399414},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7276415824890137},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7081402540206909},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6260833144187927},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.580441951751709},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5660656094551086},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.5420919060707092},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5369683504104614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5331963896751404},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5208083391189575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4969344437122345},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4628419578075409},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4446234107017517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3971312344074249},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36410582065582275},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11575773358345032}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7342844009399414},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7276415824890137},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7081402540206909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6260833144187927},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.580441951751709},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5660656094551086},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.5420919060707092},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5369683504104614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5331963896751404},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5208083391189575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4969344437122345},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4628419578075409},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4446234107017517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3971312344074249},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36410582065582275},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11575773358345032},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2011.6064590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2011.6064590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Machine Learning for Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323168","display_name":"Jyv\u00e4skyl\u00e4n Yliopisto","ror":"https://ror.org/05n3dz165"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1536620489","https://openalex.org/W1608735834","https://openalex.org/W1963544757","https://openalex.org/W1980790150","https://openalex.org/W1989492719","https://openalex.org/W1996382582","https://openalex.org/W2010239333","https://openalex.org/W2020274529","https://openalex.org/W2021102124","https://openalex.org/W2062024414","https://openalex.org/W2062890119","https://openalex.org/W2090664364","https://openalex.org/W2115562224","https://openalex.org/W2123984177","https://openalex.org/W2125779688","https://openalex.org/W2128495200","https://openalex.org/W2141224535","https://openalex.org/W2147764874","https://openalex.org/W2152171700","https://openalex.org/W2152673832","https://openalex.org/W2153534086","https://openalex.org/W2166158831","https://openalex.org/W2167631564","https://openalex.org/W3099514962","https://openalex.org/W4236173595","https://openalex.org/W4250857377","https://openalex.org/W4255272544","https://openalex.org/W6682486651"],"related_works":["https://openalex.org/W2153912708","https://openalex.org/W2379264914","https://openalex.org/W2118094278","https://openalex.org/W2639400695","https://openalex.org/W3126343058","https://openalex.org/W2949173582","https://openalex.org/W2089410207","https://openalex.org/W4300048032","https://openalex.org/W2367577754","https://openalex.org/W2387532542"],"abstract_inverted_index":{"To":[0],"high-density":[1],"electroencephalography":[2],"(EEG)":[3],"recordings,":[4],"determining":[5],"the":[6,12,15,35,40,61,71,76,83,89,107,125,134,141],"number":[7,77,90,135],"of":[8,28,30,78,91,93,103,136],"sources":[9,92],"to":[10,88,109],"separate":[11],"signal":[13,41,73,84,142],"and":[14,121],"noise":[16],"subspace":[17,85],"is":[18,25,86],"very":[19],"important.":[20],"A":[21],"mostly":[22],"used":[23],"criterion":[24],"that":[26,133],"percentage":[27],"variance":[29,126],"raw":[31],"data":[32],"explained":[33,127],"by":[34,64],"selected":[36,79,113],"principal":[37,80,114],"components":[38,81,115],"composing":[39,82],"space":[42],"should":[43,144],"be":[44,145],"over":[45],"90%.":[46],"Recently,":[47],"a":[48],"model":[49],"order":[50],"selection":[51],"method":[52,128],"named":[53],"as":[54,138,140],"GAP":[55,110],"has":[56],"been":[57],"proposed.":[58],"We":[59],"investigated":[60],"two":[62],"methods":[63],"performing":[65],"independent":[66,119],"component":[67],"analysis":[68],"(ICA)":[69],"on":[70],"estimated":[72,147],"subspace,":[74,143],"assuming":[75],"equal":[87],"brain":[94],"activities.":[95],"Through":[96],"examining":[97],"wavelet-filtered":[98],"EEG":[99],"recordings":[100],"(128":[101],"electrodes)":[102],"ERPs,":[104],"ICA":[105,122],"with":[106,124],"reference":[108],"decomposed":[111],"14":[112,118],"reliably":[116],"into":[117],"components,":[120],"decomposition":[123],"was":[129],"not":[130],"reliable,":[131],"indicating":[132],"sources,":[137],"well":[139,146],"through":[148],"GAP.":[149]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
