{"id":"https://openalex.org/W4408354790","doi":"https://doi.org/10.1109/icassp49660.2025.10888137","title":"Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding","display_name":"Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354790","doi":"https://doi.org/10.1109/icassp49660.2025.10888137"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100367181","display_name":"Jingyuan Li","orcid":"https://orcid.org/0000-0002-0099-1188"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyuan Li","raw_affiliation_strings":["University of Washington,Seattle,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington,Seattle,USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030640229","display_name":"Yansen Wang","orcid":"https://orcid.org/0000-0002-4867-1503"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansen Wang","raw_affiliation_strings":["Microsoft Research Asia,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia,China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101984795","display_name":"Lin Nie","orcid":"https://orcid.org/0009-0008-7788-4576"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nie Lin","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440914","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0002-5135-0778"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["Microsoft Research Asia,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia,China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.29109999537467957,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10533","display_name":"Teaching and Learning Programming","score":0.29109999537467957,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10028","display_name":"Topic Modeling","score":0.2879999876022339,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.2556000053882599,"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/decoding-methods","display_name":"Decoding methods","score":0.7642884254455566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6290984153747559},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.4975419342517853},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17085912823677063},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10761493444442749}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7642884254455566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6290984153747559},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.4975419342517853},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17085912823677063},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10761493444442749},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2006082701","https://openalex.org/W2007348317","https://openalex.org/W2051360945","https://openalex.org/W2099323129","https://openalex.org/W2105438329","https://openalex.org/W2106006415","https://openalex.org/W2132360759","https://openalex.org/W2134888862","https://openalex.org/W2141031554","https://openalex.org/W2164497299","https://openalex.org/W2169918686","https://openalex.org/W2315936316","https://openalex.org/W2559463885","https://openalex.org/W2580499487","https://openalex.org/W2605492512","https://openalex.org/W2620509183","https://openalex.org/W2741907166","https://openalex.org/W2784243625","https://openalex.org/W2794480229","https://openalex.org/W2915196348","https://openalex.org/W2924079966","https://openalex.org/W2944664707","https://openalex.org/W2963688765","https://openalex.org/W3049410214","https://openalex.org/W3159493536","https://openalex.org/W3203945277","https://openalex.org/W4234326366","https://openalex.org/W4300942166","https://openalex.org/W4312597583","https://openalex.org/W4324374100","https://openalex.org/W4396510513","https://openalex.org/W6640212811","https://openalex.org/W6762922437","https://openalex.org/W6775885381","https://openalex.org/W6857211398"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Advancements":[0],"in":[1,82],"non-invasive":[2],"electroencephalogram":[3],"(EEG)-based":[4],"Brain-Computer":[5],"Interface":[6],"(BCI)":[7],"technology":[8],"have":[9],"enabled":[10],"communication":[11],"through":[12],"brain":[13],"activity,":[14],"offering":[15],"significant":[16],"potential":[17,185],"for":[18,25,39,186],"individuals":[19,108],"with":[20,90,100,189],"motor":[21],"impairments.":[22],"Existing":[23],"methods":[24,163],"decoding":[26,41,122],"characters":[27,112],"or":[28,43,86],"words":[29],"from":[30,51],"EEG":[31,63,136,146],"recordings":[32],"either":[33],"rely":[34],"on":[35,45,66],"continuous":[36],"external":[37,75,114],"stimulation":[38],"high":[40,71],"accuracy":[42,73,153],"depend":[44],"direct":[46,155],"intention":[47],"imagination,":[48],"which":[49,83,148],"suffers":[50],"reduced":[52],"discrimination":[53,72],"ability.":[54],"To":[55],"overcome":[56],"these":[57],"limitations,":[58],"we":[59,78,124,169],"introduce":[60],"a":[61,80,91,126],"novel":[62],"paradigm":[64,147,183],"based":[65],"mental":[67,97],"tasks":[68],"that":[69,94,180],"achieves":[70,149],"without":[74,113],"stimulation.":[76],"Specifically,":[77],"propose":[79],"codebook":[81],"each":[84],"letter":[85],"number":[87],"is":[88],"associated":[89],"unique":[92],"code":[93],"integrates":[95],"three":[96],"tasks,":[98],"interleaved":[99],"eye-open":[101],"and":[102],"eye-closed":[103],"states.":[104],"This":[105],"approach":[106],"allows":[107],"to":[109,130],"internally":[110],"reference":[111],"stimuli":[115],"while":[116],"maintaining":[117],"reasonable":[118],"accuracy.":[119],"For":[120],"enhanced":[121],"performance,":[123],"apply":[125],"Temporal-Spatial-Latent-Dynamics":[127],"(TSLD)":[128],"network":[129,160],"capture":[131],"latent":[132],"dynamics":[133],"of":[134,143],"spatiotemporal":[135],"signals.":[137],"Experimental":[138],"results":[139],"demonstrate":[140],"the":[141,158,175,181],"effectiveness":[142],"our":[144],"proposed":[145,182],"five":[150],"times":[151],"higher":[152],"over":[154],"imagination.":[156],"Additionally,":[157],"TSLD":[159],"improves":[161],"baseline":[162],"by":[164],"approximately":[165],"8.5%.":[166],"Further":[167],"more,":[168],"observe":[170],"consistent":[171],"performance":[172],"improvement":[173],"throughout":[174],"data":[176],"collection":[177],"process,":[178],"suggesting":[179],"has":[184],"further":[187],"optimization":[188],"continued":[190],"use.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
