{"id":"https://openalex.org/W7161777718","doi":"https://doi.org/10.48550/arxiv.2605.19646","title":"BCI-sift: An automated feature selection toolbox for Brain Computer Interface applications","display_name":"BCI-sift: An automated feature selection toolbox for Brain Computer Interface applications","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161777718","doi":"https://doi.org/10.48550/arxiv.2605.19646"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.19646","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.19646","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116605201","display_name":"Elena C Offenberg","orcid":"https://orcid.org/0009-0002-7314-1536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Offenberg, Elena C","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030103714","display_name":"Dirk Keller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keller, Dirk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075160910","display_name":"Mariska J. Vansteensel","orcid":"https://orcid.org/0000-0002-9252-5116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vansteensel, Mariska J","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087225636","display_name":"Zachary V. Freudenburg","orcid":"https://orcid.org/0000-0002-2790-0020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Freudenburg, Zachary V","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063036619","display_name":"Nick F. Ramsey","orcid":"https://orcid.org/0000-0002-7136-259X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramsey, Nick F","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004865135","display_name":"Julia Berezutskaya","orcid":"https://orcid.org/0000-0002-2005-8758"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berezutskaya, Julia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9933000206947327,"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":0.9933000206947327,"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":0.0010000000474974513,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.8888000249862671},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8537999987602234},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6987000107765198},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6596999764442444},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5972999930381775},{"id":"https://openalex.org/keywords/electrocorticography","display_name":"Electrocorticography","score":0.5947999954223633},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46790000796318054},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46560001373291016}],"concepts":[{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.8888000249862671},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8537999987602234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8145999908447266},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6987000107765198},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6596999764442444},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5972999930381775},{"id":"https://openalex.org/C2780117969","wikidata":"https://www.wikidata.org/wiki/Q3587624","display_name":"Electrocorticography","level":3,"score":0.5947999954223633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5864999890327454},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46560001373291016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4496000111103058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4458000063896179},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.30550000071525574},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2904999852180481},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.19646","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.19646","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Advancements":[0],"in":[1,68,79,161,186,224],"clinical":[2],"Brain-Computer":[3],"Interfaces":[4],"(BCIs)":[5],"depend":[6],"on":[7,91,201],"precise":[8],"and":[9,16,25,43,122,135,152,180,196,218,227],"reliable":[10],"signal":[11],"interpretation.":[12],"However,":[13],"the":[14,32,53,64,89,106,142,153,205],"high-dimensional":[15],"noisy":[17],"nature":[18],"of":[19,34,55,128,141],"data":[20,96],"captured":[21],"from":[22,97],"both":[23],"implanted":[24,104],"non-implanted":[26],"BCIs":[27],"poses":[28],"significant":[29],"challenges,":[30],"motivating":[31],"use":[33],"feature":[35,77,184,194],"selection":[36,78,167,185],"algorithms.":[37],"We":[38,87],"introduce":[39],"BCI-sift":[40,114,176,220],"(BCI":[41],"Systematic":[42],"Interpretable":[44],"Feature":[45,166],"Tuning),":[46],"a":[47],"Python-based":[48],"toolbox":[49,74,90],"designed":[50],"to":[51,59,172,210],"streamline":[52],"application":[54],"diverse":[56],"optimization":[57,85],"algorithms":[58],"BCI":[60,80,187,212,229],"datasets":[61],"for":[62,183],"identifying":[63],"most":[65,159],"relevant":[66],"features":[67,118],"machine":[69],"learning":[70],"tasks.":[71],"Our":[72],"scikit-learn-compatible":[73],"(github.com/UMCU-RIBS/BCI-sift)":[75],"simplifies":[76],"tasks":[81],"by":[82],"integrating":[83],"advanced":[84],"methods.":[86],"validated":[88,200],"high-density":[92],"electrocorticography":[93],"(HD":[94],"ECoG)":[95],"eight":[98],"able-bodied":[99],"participants":[100,134],"with":[101,137,163],"64-128":[102],"electrodes":[103],"over":[105],"sensorimotor":[107,143],"cortex,":[108],"who":[109],"repeatedly":[110],"spoke":[111],"12":[112],"words.":[113],"identified":[115,157],"informative":[116],"neural":[117],"across":[119,133],"electrode,":[120],"temporal,":[121],"frequency":[123],"dimensions.":[124],"The":[125],"anatomical":[126],"locations":[127],"electrode":[129],"selections":[130],"were":[131],"consistent":[132],"aligned":[136],"known":[138],"functional":[139],"organization":[140],"cortex.":[144],"Relevant":[145],"time":[146],"points":[147],"clustered":[148],"around":[149],"speech":[150],"production,":[151],"high-frequency":[154],"band":[155],"was":[156],"as":[158],"informative,":[160],"line":[162],"prior":[164],"work.":[165],"improved":[168,190],"classification":[169,216],"accuracy":[170,217],"compared":[171],"using":[173],"all":[174],"features.":[175],"provides":[177],"an":[178],"accessible":[179],"versatile":[181],"platform":[182],"research,":[188],"enabling":[189],"decoding":[191],"performance,":[192],"automated":[193],"analysis,":[195],"enhanced":[197],"interpretability.":[198],"While":[199],"HD":[202],"ECoG":[203],"data,":[204],"approach":[206],"is":[207],"broadly":[208],"applicable":[209],"other":[211],"modalities.":[213],"By":[214],"enhancing":[215],"interpretability,":[219],"addresses":[221],"key":[222],"challenges":[223],"developing":[225],"efficient":[226],"transparent":[228],"systems.":[230]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-21T00:00:00"}
