{"id":"https://openalex.org/W2342499663","doi":"https://doi.org/10.1109/prni.2016.7552337","title":"M/EEG source localization with multi-scale time-frequency dictionaries","display_name":"M/EEG source localization with multi-scale time-frequency dictionaries","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2342499663","doi":"https://doi.org/10.1109/prni.2016.7552337","mag":"2342499663"},"language":"en","primary_location":{"id":"doi:10.1109/prni.2016.7552337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2016.7552337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI)","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/A5072854499","display_name":"Yousra Bekhti","orcid":"https://orcid.org/0000-0002-6804-8516"},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Yousra Bekhti","raw_affiliation_strings":["LTCI, Universit\u00e9 Paris-Saclay, Paris, France"],"affiliations":[{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Daniel Strohmeiery","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Strohmeiery","raw_affiliation_strings":["Technische Universitat Ilmenau, Ilmenau, Th\u00c3\u00bcringen, DE"],"affiliations":[{"raw_affiliation_string":"Technische Universitat Ilmenau, Ilmenau, Th\u00c3\u00bcringen, DE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083152303","display_name":"Mainak Jas","orcid":"https://orcid.org/0000-0002-3199-9027"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mainak Jas","raw_affiliation_strings":["LTCI, Universit\u00e9 Paris-Saclay, Paris, France"],"affiliations":[{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028865449","display_name":"Roland Badeau","orcid":"https://orcid.org/0000-0002-9630-6877"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Roland Badeau","raw_affiliation_strings":["LTCI, Universit\u00e9 Paris-Saclay, Paris, France"],"affiliations":[{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018256474","display_name":"Alexandre Gramfort","orcid":"https://orcid.org/0000-0001-9791-4404"},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandre Gramfort","raw_affiliation_strings":["LTCI, Universit\u00e9 Paris-Saclay, Paris, France"],"affiliations":[{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072854499"],"corresponding_institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.6079,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67394876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/electroencephalography","display_name":"Electroencephalography","score":0.6697906255722046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6358281373977661},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.609115481376648},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5901359915733337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40086984634399414},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35618484020233154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32826170325279236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16190636157989502},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08208954334259033},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07272082567214966},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06933385133743286},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05660527944564819}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6697906255722046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358281373977661},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.609115481376648},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5901359915733337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40086984634399414},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35618484020233154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32826170325279236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16190636157989502},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08208954334259033},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07272082567214966},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06933385133743286},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05660527944564819},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/prni.2016.7552337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2016.7552337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01313567v2","is_oa":false,"landing_page_url":"https://hal.science/hal-01313567","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://prni2016.wix.com/prni2016","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W614292567","https://openalex.org/W1494333470","https://openalex.org/W1541729805","https://openalex.org/W1980405727","https://openalex.org/W1981318143","https://openalex.org/W1995406160","https://openalex.org/W2007364043","https://openalex.org/W2013150886","https://openalex.org/W2070612250","https://openalex.org/W2090530235","https://openalex.org/W2097360283","https://openalex.org/W2101868363","https://openalex.org/W2107861471","https://openalex.org/W2119883478","https://openalex.org/W2134173203","https://openalex.org/W2135595031","https://openalex.org/W2136760486","https://openalex.org/W2155136387","https://openalex.org/W2512603352","https://openalex.org/W4229722665","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W2130428257","https://openalex.org/W200322357","https://openalex.org/W4308951944","https://openalex.org/W2988848585","https://openalex.org/W4312960290","https://openalex.org/W4233722919","https://openalex.org/W2057366091","https://openalex.org/W4323929055","https://openalex.org/W2589804265"],"abstract_inverted_index":{"Magnetoencephalography":[0],"(MEG)":[1],"and":[2,62,83,104,131,180,218],"electroencephalography":[3],"(EEG)":[4],"source":[5,41,57,102,162],"localization":[6,66],"is":[7,150],"a":[8,36,80,118,138,147,157,166],"challenging":[9],"illposed":[10],"problem.":[11],"To":[12],"identify":[13],"an":[14,19,111],"appropriate":[15],"solution":[16],"out":[17],"of":[18,22,110,120,137,205,210,220],"infinite":[20],"set":[21],"possible":[23],"candidates,":[24],"the":[25,33,40,56,68,108,128,135,161,184,203,206],"problem":[26],"requires":[27],"setting":[28],"certain":[29],"constraints":[30,44],"depending":[31],"on":[32,55,165,193],"assumptions":[34],"or":[35],"priori":[37],"knowledge":[38],"about":[39],"distribution.":[42],"Different":[43],"have":[45],"been":[46,73,95],"proposed":[47],"so":[48],"far,":[49],"including":[50],"those":[51],"that":[52],"impose":[53],"sparsity":[54],"reconstruction":[58],"in":[59,67,78,100,146,208],"both":[60,79,101,143,221],"standard":[61],"time-frequency":[63,69],"domains.":[64],"Source":[65],"domain":[70],"has":[71,94],"already":[72],"investigated":[74],"using":[75],"Gabor":[76],"dictionary":[77,113,140],"convex":[81],"(TF-MxNE)":[82],"non-convex":[84],"way":[85,149],"(Iterative":[86],"Reweighted":[87],"TF-MxNE).":[88],"The":[89],"iterative":[90],"reweighted":[91],"(ir)TF-MxNE":[92],"solver":[93],"shown":[96],"to":[97,117,159,176,201],"outperform":[98],"TF-MxNE":[99],"recovery":[103],"amplitude":[105],"bias.":[106],"However,":[107],"choice":[109,136],"optimal":[112],"remains":[114],"unsolved.":[115],"Due":[116],"mixture":[119],"signals,":[121],"i.e.":[122,169],"short":[123,178],"transient":[124],"signals":[125,144,222],"(right":[126],"after":[127],"stimulus":[129],"onset)":[130],"slower":[132],"brain":[133],"waves,":[134],"single":[139],"explaining":[141],"simultaneously":[142],"types":[145],"sparse":[148],"difficult.":[151],"In":[152],"this":[153],"work,":[154],"we":[155,197],"introduce":[156],"method":[158],"improve":[160],"estimation":[163],"relying":[164],"multi-scale":[167],"dictionary,":[168],"multiple":[170],"dictionaries":[171],"with":[172,191],"different":[173],"scales":[174],"concatenated":[175],"fit":[177],"transients":[179],"slow":[181],"waves":[182],"at":[183],"same":[185],"time.":[186],"We":[187],"compare":[188],"our":[189],"results":[190],"irTF-MxNE":[192],"realistic":[194],"simulation,":[195],"then":[196],"use":[198],"somatosensory":[199],"data":[200],"demonstrate":[202],"benefits":[204],"approach":[207],"terms":[209],"reduced":[211],"leakage":[212],"(time":[213],"courses":[214],"mixture),":[215],"temporal":[216],"smoothness":[217],"detection":[219],"types.":[223]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
