{"id":"https://openalex.org/W4388555287","doi":"https://doi.org/10.48550/arxiv.2311.04225","title":"Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition","display_name":"Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388555287","doi":"https://doi.org/10.48550/arxiv.2311.04225"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2311.04225","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.04225","pdf_url":"https://arxiv.org/pdf/2311.04225","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.04225","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022807823","display_name":"Ryohei Fukuma","orcid":"https://orcid.org/0000-0002-3316-9561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fukuma, Ryohei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003716190","display_name":"Kei Majima","orcid":"https://orcid.org/0000-0002-2405-4113"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Majima, Kei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040846713","display_name":"Yoshinobu Kawahara","orcid":"https://orcid.org/0000-0001-7789-4709"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kawahara, Yoshinobu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035677638","display_name":"Okito Yamashita","orcid":"https://orcid.org/0000-0002-6039-3657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yamashita, Okito","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062752001","display_name":"Yoshiyuki Shiraishi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiraishi, Yoshiyuki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046288905","display_name":"Haruhiko Kishima","orcid":"https://orcid.org/0000-0002-9041-2337"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kishima, Haruhiko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025926397","display_name":"Takufumi Yanagisawa","orcid":"https://orcid.org/0000-0002-2057-0612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanagisawa, Takufumi","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":true,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9847999811172485,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9847999811172485,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9753000140190125,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9714999794960022,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8436696529388428},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8279329538345337},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.700512170791626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912828683853149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5278831720352173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4969678223133087},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.4439217448234558},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4323844909667969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2998698949813843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14287453889846802}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8436696529388428},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8279329538345337},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.700512170791626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912828683853149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5278831720352173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4969678223133087},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.4439217448234558},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4323844909667969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2998698949813843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14287453889846802},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2311.04225","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.04225","pdf_url":"https://arxiv.org/pdf/2311.04225","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2311.04225","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.04225","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.04225","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.04225","pdf_url":"https://arxiv.org/pdf/2311.04225","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G1734016558","display_name":"Real-time brain information decoding using non-linear dynamics of cortical EEG.","funder_award_id":"22K15623","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G1866876305","display_name":"\u91cf\u5b50\u30a4\u30f3\u30b9\u30d1\u30a4\u30a2\u6a5f\u68b0\u5b66\u7fd2\u3067\u5207\u308a\u62d3\u304f\u8d85\u9ad8\u6b21\u5143\u8133\u30fb\u884c\u52d5\u30c7\u30fc\u30bf\u89e3\u6790","funder_award_id":"JPMJPR2128","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G2521286739","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G2576085165","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G3246390084","display_name":null,"funder_award_id":"JP23dm 0307009","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G4258386214","display_name":"\u8eab\u4f53\u7684\u80fd\u529b\u3068\u77e5\u899a\u80fd\u529b\u306e\u62e1\u5f35\u306b\u3088\u308b\u8eab\u4f53\u306e\u5236\u7d04\u304b\u3089\u306e\u89e3\u653e","funder_award_id":"JPMJMS2012","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G4452843827","display_name":null,"funder_award_id":"JP19dm0207070","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G4506279231","display_name":null,"funder_award_id":"JPMXS0120330644","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G489016965","display_name":null,"funder_award_id":"JPJ004596","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G4976212902","display_name":"Development of quantum-inspired algorithms for decoding high-dimensional neural data","funder_award_id":"20K16465","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5440532631","display_name":"\u8133\u8868\u73fe\u7a7a\u9593\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u6280\u8853\u306e\u5275\u51fa","funder_award_id":"JPMJCR18A5","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G5623049728","display_name":null,"funder_award_id":"JPJ004596","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6119636285","display_name":null,"funder_award_id":"JPMJPR2128","funder_id":"https://openalex.org/F4320338111","funder_display_name":"Precursory Research for Embryonic Science and Technology"},{"id":"https://openalex.org/G6132912762","display_name":null,"funder_award_id":"JPMJER1801","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G6197484407","display_name":null,"funder_award_id":"JP19dm0307103","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6779191723","display_name":"\u6c60\u8c37\u8133AI\u878d\u5408\u30d7\u30ed\u30b8\u30a7\u30af\u30c8","funder_award_id":"JPMJER1801","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G7879866177","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G81274568","display_name":null,"funder_award_id":"JPMXS01 20330644","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G831266468","display_name":null,"funder_award_id":"JPMJCR 18A5","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G903899529","display_name":null,"funder_award_id":"JPMJMS 2012","funder_id":"https://openalex.org/F4320338247","funder_display_name":"Moonshot Research and Development Program"},{"id":"https://openalex.org/G906087585","display_name":null,"funder_award_id":"JPMXS0120330644","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G950405879","display_name":null,"funder_award_id":"JPMJER1801","funder_id":"https://openalex.org/F4320338112","funder_display_name":"Exploratory Research for Advanced Technology"}],"funders":[{"id":"https://openalex.org/F4320311405","display_name":"Japan Agency for Medical Research and Development","ror":"https://ror.org/004rtk039"},{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null},{"id":"https://openalex.org/F4320338112","display_name":"Exploratory Research for Advanced Technology","ror":null},{"id":"https://openalex.org/F4320338247","display_name":"Moonshot Research and Development Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388555287.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2098373948","https://openalex.org/W1534867933","https://openalex.org/W2587713090","https://openalex.org/W2963141266","https://openalex.org/W2896393657","https://openalex.org/W2090610152","https://openalex.org/W2744712844","https://openalex.org/W4310719664","https://openalex.org/W2742276804","https://openalex.org/W4360952157"],"abstract_inverted_index":{"Dynamic":[0],"mode":[1],"(DM)":[2],"decomposition":[3],"decomposes":[4],"spatiotemporal":[5],"signals":[6,85],"into":[7,69],"basic":[8],"oscillatory":[9],"components":[10,113],"(DMs).":[11],"DMs":[12,68],"can":[13,75],"improve":[14,100],"the":[15,23,62,94,101,112,115,125,129],"accuracy":[16,103],"of":[17,114,128],"neural":[18,145],"decoding":[19,102,120],"when":[20],"used":[21,77],"with":[22,48,132],"nonlinear":[24],"Grassmann":[25,63],"kernel,":[26],"compared":[27,107],"to":[28,61,99,108,124],"conventional":[29,109],"power":[30,127],"features.":[31],"However,":[32],"such":[33],"kernel-based":[34],"machine":[35,80],"learning":[36,81],"algorithms":[37],"have":[38],"three":[39],"limitations:":[40],"large":[41],"computational":[42,105],"time":[43,106],"preventing":[44],"real-time":[45],"application,":[46],"incompatibility":[47],"non-kernel":[49],"algorithms,":[50],"and":[51,90,104,143],"low":[52],"interpretability.":[53],"Here,":[54],"we":[55],"propose":[56],"a":[57],"mapping":[58],"function":[59],"corresponding":[60],"kernel":[64],"that":[65],"explicitly":[66],"transforms":[67],"spatial":[70],"DM":[71],"(sDM)":[72],"features,":[73],"which":[74],"be":[76],"in":[78],"any":[79],"algorithm.":[82],"Using":[83],"electrocorticographic":[84],"recorded":[86],"during":[87],"various":[88],"movement":[89],"visual":[91],"perception":[92],"tasks,":[93],"sDM":[95,116,138],"features":[96,117,139],"were":[97],"shown":[98],"methods.":[110],"Furthermore,":[111],"informative":[118],"for":[119],"showed":[121],"similar":[122],"characteristics":[123],"high-$\u03b3$":[126],"signals,":[130],"but":[131],"higher":[133],"trial-to-trial":[134],"reproducibility.":[135],"The":[136],"proposed":[137],"enable":[140],"fast,":[141],"accurate,":[142],"interpretable":[144],"decoding.":[146]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2023-11-10T00:00:00"}
