{"id":"https://openalex.org/W4306157646","doi":"https://doi.org/10.3389/fncom.2022.1006361","title":"Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection","display_name":"Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection","publication_year":2022,"publication_date":"2022-10-14","ids":{"openalex":"https://openalex.org/W4306157646","doi":"https://doi.org/10.3389/fncom.2022.1006361","pmid":"https://pubmed.ncbi.nlm.nih.gov/36313812"},"language":"en","primary_location":{"id":"doi:10.3389/fncom.2022.1006361","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2022.1006361","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2022.1006361/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fncom.2022.1006361/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101977646","display_name":"Yujie Cui","orcid":"https://orcid.org/0000-0003-4934-4894"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Cui","raw_affiliation_strings":["NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957624","display_name":"Songyun Xie","orcid":"https://orcid.org/0000-0002-8774-7291"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songyun Xie","raw_affiliation_strings":["NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016933446","display_name":"Xinzhou Xie","orcid":"https://orcid.org/0000-0001-9294-5885"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinzhou Xie","raw_affiliation_strings":["NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353431","display_name":"Xiaowei Zhang","orcid":"https://orcid.org/0000-0001-8562-416X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Zhang","raw_affiliation_strings":["NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103235626","display_name":"Xianghui Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghui Liu","raw_affiliation_strings":["NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NPUTUB Joint Laboratory of Neural Informatics, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016933446","https://openalex.org/A5101957624"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":3295,"currency":"USD","value_usd":3295},"apc_paid":{"value":3295,"currency":"USD","value_usd":3295},"fwci":0.4129,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54849695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"1006361","last_page":"1006361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.46059998869895935,"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":0.46059998869895935,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.12639999389648438,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.06509999930858612,"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":0.7200321555137634},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.5859119296073914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5190456509590149},{"id":"https://openalex.org/keywords/performance-enhancement","display_name":"Performance enhancement","score":0.46914687752723694},{"id":"https://openalex.org/keywords/rapid-serial-visual-presentation","display_name":"Rapid serial visual presentation","score":0.4222491681575775},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2583921551704407},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.21036410331726074},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.12484431266784668},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11531129479408264},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.10930189490318298}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7200321555137634},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.5859119296073914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5190456509590149},{"id":"https://openalex.org/C2986800882","wikidata":"https://www.wikidata.org/wiki/Q7168187","display_name":"Performance enhancement","level":2,"score":0.46914687752723694},{"id":"https://openalex.org/C2779668609","wikidata":"https://www.wikidata.org/wiki/Q623092","display_name":"Rapid serial visual presentation","level":3,"score":0.4222491681575775},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2583921551704407},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.21036410331726074},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.12484431266784668},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11531129479408264},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.10930189490318298},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fncom.2022.1006361","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2022.1006361","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2022.1006361/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},{"id":"pmid:36313812","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36313812","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in computational neuroscience","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9614100","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9614100","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Comput Neurosci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:bdb7f33baa4944e7aa09f02eb8f55762","is_oa":true,"landing_page_url":"https://doaj.org/article/bdb7f33baa4944e7aa09f02eb8f55762","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Computational Neuroscience, Vol 16 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fncom.2022.1006361","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2022.1006361","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2022.1006361/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7450282697","display_name":null,"funder_award_id":"61273250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306157646.pdf","grobid_xml":"https://content.openalex.org/works/W4306157646.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1986762730","https://openalex.org/W1992953729","https://openalex.org/W2041649634","https://openalex.org/W2042441570","https://openalex.org/W2099576549","https://openalex.org/W2105126477","https://openalex.org/W2108027679","https://openalex.org/W2108824330","https://openalex.org/W2112786982","https://openalex.org/W2120160105","https://openalex.org/W2125967022","https://openalex.org/W2145302786","https://openalex.org/W2152171700","https://openalex.org/W2164783212","https://openalex.org/W2170215811","https://openalex.org/W2177405552","https://openalex.org/W2268875920","https://openalex.org/W2538896787","https://openalex.org/W2566714567","https://openalex.org/W2695135067","https://openalex.org/W2753691346","https://openalex.org/W2807283342","https://openalex.org/W2988472227","https://openalex.org/W3022720926","https://openalex.org/W3095214464","https://openalex.org/W3129600538","https://openalex.org/W3135951948","https://openalex.org/W3162113328","https://openalex.org/W3189262451","https://openalex.org/W4206280359","https://openalex.org/W4206357479","https://openalex.org/W4220659803","https://openalex.org/W4220891365","https://openalex.org/W4226088456","https://openalex.org/W4288871310"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2100610688","https://openalex.org/W2035010266","https://openalex.org/W1973445441","https://openalex.org/W4238551367","https://openalex.org/W1992935005","https://openalex.org/W2127571344","https://openalex.org/W2540834497"],"abstract_inverted_index":{"Background:":[0],"Rapid":[1],"serial":[2],"visual":[3,232],"presentation":[4],"(RSVP)":[5],"has":[6,283],"become":[7,93],"a":[8,89,163,185,349],"popular":[9],"target":[10,192,289],"detection":[11,151,202,286,335,354],"method":[12,129,189,330],"by":[13,68,245,311],"decoding":[14],"electroencephalography":[15],"(EEG)":[16],"signals,":[17],"owing":[18],"to":[19,37,92,99,116,175,210,352],"its":[20,229],"sensitivity":[21],"and":[22,42,96,120,146,148,187,193,216,243,249,260,290,309,313,323],"effectiveness.":[23],"Most":[24],"current":[25],"research":[26],"on":[27,32,159,204],"EEG-based":[28],"RSVP":[29,181,206,357],"tasks":[30],"focused":[31],"feature":[33],"extraction":[34],"algorithms":[35,52],"developed":[36],"deal":[38],"with":[39,252,303],"the":[40,55,69,136,150,155,180,205,212,222,284,295,304,320,327],"non-stationarity":[41],"low":[43],"signal-to-noise":[44],"ratio":[45],"(SNR)":[46],"of":[47,57,72,80,139,190,214,221,224,228,237,271,288,298,326],"EEG":[48,177],"signals.":[49],"However,":[50],"these":[51],"cannot":[53],"handle":[54],"problem":[56],"no":[58],"event-related":[59],"potentials":[60],"(ERP)":[61],"component":[62,169],"or":[63],"miniature":[64],"ERP":[65],"components":[66],"caused":[67],"attention":[70,104,225],"lapses":[71,226],"human":[73,118,253],"vision":[74,82,119],"in":[75,103,113,179,231,356,360],"abnormal":[76,361],"conditions.":[77,362],"The":[78,234],"fusion":[79,263,329,345],"human-computer":[81],"can":[83,133],"obtain":[84],"complementary":[85],"information,":[86],"making":[87],"it":[88],"promising":[90,350],"way":[91,98,351],"an":[94],"efficient":[95],"general":[97],"detect":[100],"objects,":[101],"especially":[102],"lapses.":[105],"Methods:":[106],"Dynamic":[107],"probability":[108,126],"integration":[109],"(DPI)":[110],"was":[111,130,173,208,239,275],"proposed":[112,328],"this":[114],"study":[115],"fuse":[117],"computer":[121,255],"vision.":[122],"A":[123,199,266],"novel":[124],"basic":[125],"assignment":[127],"(BPA)":[128],"included,":[131],"which":[132,218],"fully":[134],"consider":[135],"classification":[137,160],"capabilities":[138],"different":[140],"heterogeneous":[141],"information":[142],"sources":[143],"for":[144,154,338],"targets":[145],"non-targets":[147],"constructs":[149],"performance":[152,213,355],"model":[153],"weight":[156],"generation":[157],"based":[158,203],"capabilities.":[161],"Furthermore,":[162],"spatial-temporal":[164,196],"hybrid":[165],"common":[166],"spatial":[167],"pattern-principal":[168],"analysis":[170],"(STHCP)":[171],"algorithm":[172],"designed":[174],"decode":[176],"signals":[178],"task.":[182],"It":[183,347],"is":[184,219,348],"simple":[186],"effective":[188],"distinguishing":[191],"non-target":[194],"using":[195,278],"features.":[197],"Results:":[198],"nighttime":[200],"vehicle":[201],"task":[207],"performed":[209],"evaluate":[211],"DPI":[215,238,282],"STHCP,":[217],"one":[220],"conditions":[223],"because":[227],"decrease":[230],"information.":[233],"average":[235,268,321],"AUC":[236,297,322],"0.912":[240],"\u00b1":[241,273,300],"0.041":[242],"increased":[244,310],"11.5,":[246],"5.2,":[247],"3.4,":[248],"1.7%":[250],"compared":[251,302],"vision,":[254,256],"naive":[257],"Bayesian":[258],"fusion,":[259,339],"dynamic":[261],"belief":[262],"(DBF),":[264],"respectively.":[265],"higher":[267,332],"balanced":[269,285,324],"accuracy":[270,325],"0.845":[272],"0.052":[274],"also":[276],"achieved":[277],"DPI,":[279],"representing":[280],"that":[281,319],"capacity":[287],"non-target.":[291],"Moreover,":[292],"STHCP":[293],"obtained":[294],"highest":[296],"0.818":[299],"0.06":[301],"other":[305],"two":[306,343],"baseline":[307],"methods":[308,336],"15.4":[312],"23.4%.":[314],"Conclusion:":[315],"Experimental":[316],"results":[317],"indicated":[318],"were":[331],"than":[333],"individual":[334],"used":[337],"as":[340,342],"well":[341],"excellent":[344],"methods.":[346],"improve":[353],"tasks,":[358],"even":[359]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
