{"id":"https://openalex.org/W202855508","doi":null,"title":"Adapting Spatial Filter Methods for Nonstationary BCIs","display_name":"Adapting Spatial Filter Methods for Nonstationary BCIs","publication_year":2006,"publication_date":"2006-11-01","ids":{"openalex":"https://openalex.org/W202855508","mag":"202855508"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.680.3043","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.3043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://doc.ml.tu-berlin.de/bbci/publications/TomHilBlaAih06.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CF8D-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110293322","display_name":"Ryota Tomioka","orcid":"https://orcid.org/0000-0002-8092-6553","observed_orcids":["https://orcid.org/0000-0002-8092-6553"]},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ryota Tomioka","raw_affiliation_strings":["Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society","institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114257543","display_name":"Jeremy Hill","orcid":"https://orcid.org/0000-0002-4253-6976","observed_orcids":["https://orcid.org/0000-0002-4253-6976"]},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jeremy Hill","raw_affiliation_strings":["Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society","institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060955050","display_name":"Benjamin Blankertz","orcid":"https://orcid.org/0000-0002-2437-4846","observed_orcids":["https://orcid.org/0000-0002-2437-4846"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benjamin Blankertz","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2437-4846","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038078845","display_name":"Kazuyuki Aihara","orcid":"https://orcid.org/0000-0002-4602-9816","observed_orcids":["https://orcid.org/0000-0002-4602-9816"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuyuki Aihara","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4602-9816","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9971,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.70660635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.0,"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/brain-computer-interface","display_name":"brain-computer interface","score":0.9850000143051147},{"id":"https://openalex.org/keywords/nonstationarity","display_name":"non-stationarity","score":0.8679999709129333},{"id":"https://openalex.org/keywords/spatial-filtering","display_name":"spatial filtering","score":0.8709999918937683},{"id":"https://openalex.org/keywords/online-adaptation","display_name":"online adaptation","score":0.6579999923706055},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":0.722000002861023},{"id":"https://openalex.org/keywords/common-spatial-pattern","display_name":"common spatial pattern","score":0.9430000185966492},{"id":"https://openalex.org/keywords/whitening","display_name":"whitening","score":0.7919999957084656},{"id":"https://openalex.org/keywords/linear-operators","display_name":"linear operators","score":0.5270000100135803}],"concepts":[{"id":"https://openalex.org/C121475858","wikidata":"https://www.wikidata.org/wiki/Q2735911","display_name":"Spatial filter","level":2,"score":0.7685461044311523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66874760389328},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6254463791847229},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6214206218719482},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6096850633621216},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.59774249792099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5895670652389526},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4927368462085724},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4790857434272766},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.45252174139022827},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4447948634624481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3568055331707001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3031291365623474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29351621866226196},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21824392676353455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15849065780639648},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.09014323353767395},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.680.3043","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.3043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://doc.ml.tu-berlin.de/bbci/publications/TomHilBlaAih06.pdf","raw_type":"text"},{"id":"pmh:oai:pure.mpg.de:item_1790718","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CF8D-6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2006 Workshop on Information-Based Induction Sciences (IBIS 2006)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:202855508","doi":null,"is_oa":false,"landing_page_url":"http://doc.ml.tu-berlin.de/bbci/publications/TomHilBlaAih06.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:pure.mpg.de:item_1790718","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CF8D-6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2006 Workshop on Information-Based Induction Sciences (IBIS 2006)","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W805174110","https://openalex.org/W1995506038","https://openalex.org/W2106006415","https://openalex.org/W2116308679","https://openalex.org/W2130705118","https://openalex.org/W2142280324","https://openalex.org/W2166218246"],"related_works":["https://openalex.org/W158393896","https://openalex.org/W7035684614","https://openalex.org/W2149525899","https://openalex.org/W2059720674","https://openalex.org/W7097681404","https://openalex.org/W2096932195","https://openalex.org/W2153094360","https://openalex.org/W2529059822","https://openalex.org/W2034054692","https://openalex.org/W3116350845"],"abstract_inverted_index":{"A":[0],"major":[1],"challenge":[2],"in":[3,18,51,59],"applying":[4],"machine":[5],"learning":[6],"methods":[7,79],"to":[8,13,48,72,111],"Brain-Computer":[9],"Interfaces":[10],"(BCIs)":[11],"is":[12,26,33,57,70],"overcome":[14],"the":[15,19,22,24,31,37,41,45,55,89,96],"possible":[16],"nonstationarity":[17],"data":[20],"from":[21],"datablock":[23],"method":[25,32],"trained":[27],"on":[28,102],"and":[29,44,83,119],"that":[30,69],"applied":[34],"to.":[35],"Assuming":[36],"joint":[38],"distributions":[39],"of":[40,76,91],"whitened":[42],"signal":[43],"class":[46,75,90],"label":[47],"be":[49],"identical":[50],"two":[52],"blocks,":[53],"where":[54],"whitening":[56],"done":[58],"each":[60],"block":[61],"independently,":[62],"we":[63],"propose":[64],"a":[65,73],"simple":[66],"adaptation":[67],"formula":[68],"applicable":[71],"broad":[74],"spatial":[77,114,122],"filtering":[78],"including":[80],"ICA,":[81],"CSP,":[82],"logistic":[84],"regression":[85],"classifiers.":[86],"We":[87],"characterize":[88],"linear":[92],"transformations":[93],"for":[94],"which":[95],"above":[97],"assumption":[98],"holds.":[99],"Experimental":[100],"results":[101],"60":[103],"BCI":[104],"datasets":[105],"show":[106],"improved":[107],"classification":[108],"accuracy":[109],"compared":[110],"(a)":[112],"fixed":[113,121],"filter":[115],"approach":[116,124],"(no":[117],"adaptation)":[118],"(b)":[120],"pattern":[123],"(proposed":[125],"by":[126],"Hill":[127],"et":[128],"al.,":[129],"2006":[130],"[1]).":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
