{"id":"https://openalex.org/W7163194613","doi":"https://doi.org/10.48550/arxiv.2606.00815","title":"OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models","display_name":"OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models","publication_year":2026,"publication_date":"2026-05-30","ids":{"openalex":"https://openalex.org/W7163194613","doi":"https://doi.org/10.48550/arxiv.2606.00815"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00815","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00815","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":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.2606.00815","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100902483","display_name":"Ziling Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Ziling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129620116","display_name":"Zongsheng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zongsheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038486986","display_name":"Xinke Shen","orcid":"https://orcid.org/0000-0001-8531-5033"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Xinke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137653762","display_name":"Kexin Lou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lou, Kexin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137704032","display_name":"Yingyue Xin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin, Yingyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137675125","display_name":"Xiaoqi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiaoqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102938314","display_name":"Shinan Wang","orcid":"https://orcid.org/0000-0003-2670-2142"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shinan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137700906","display_name":"Xiang Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137636879","display_name":"Jiahao Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Jiahao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137686290","display_name":"Chenyu Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Chenyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137678778","display_name":"Xin Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111319849","display_name":"Zhoujie Hou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Zhoujie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137615685","display_name":"Chen Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137652848","display_name":"Quanying Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Quanying","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":0.9890999794006348,"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":0.9890999794006348,"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":0.0017999999690800905,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.00139999995008111,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8299000263214111},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6258999705314636},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.32440000772476196},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.3188000023365021}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8299000263214111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866000294685364},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6258999705314636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5547000169754028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4438999891281128},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.2500999867916107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24369999766349792}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00815","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00815","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":"doi:10.48550/arxiv.2606.00815","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00815","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.40418168902397156}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"supports":[2],"a":[3,38,86,108,129],"variety":[4],"of":[5,53,89],"brain-computer":[6],"interface":[7],"(BCI)":[8],"tasks":[9,90],"ranging":[10],"from":[11],"brain-state":[12],"monitoring":[13],"to":[14,27],"human-LLM":[15],"interactions.":[16],"EEG":[17,46,54,96,114,124,156,166],"foundation":[18,47,125,157,167],"models":[19,48,126,158,168],"are":[20,143],"emerging,":[21],"but":[22,174],"evaluation":[23,52,118,134],"remains":[24],"fragmented":[25],"due":[26],"heterogeneous":[28],"datasets":[29,115],"and":[30,41,66,70,74,80,83,105,111,127,140,177],"nconsistent":[31],"task":[32,43,58,103],"protocols.":[33,119],"Here,":[34],"we":[35],"introduce":[36],"OmniEEG-Bench,":[37],"unified":[39],"benchmark":[40,121,183],"downstream":[42],"roadmap":[44],"for":[45],"(FMs).":[49],"It":[50],"organizes":[51],"FMs":[55],"into":[56],"six":[57],"families":[59],"spanning":[60],"(i)":[61],"signal":[62],"reliability,":[63],"(ii)":[64],"biometrics":[65],"disease,":[67],"(iii)":[68],"consciousness":[69],"state,":[71],"(iv)":[72],"cognition":[73],"emotion,":[75],"(v)":[76],"naturalistic":[77],"stimulus":[78],"decoding,":[79],"(vi)":[81],"motor":[82],"interaction,":[84],"introducing":[85],"new":[87],"generation":[88],"not":[91,170],"systematically":[92],"benchmarked":[93],"in":[94,155],"prior":[95],"FM":[97],"work.":[98],"OmniEEG-Bench":[99],"standardizes":[100],"model":[101,141],"deployment,":[102],"definitions,":[104],"metrics":[106],"through":[107],"task-card":[109],"specification,":[110],"unifies":[112],"54":[113],"with":[116,146],"consistent":[117],"We":[120],"10":[122],"representative":[123],"report":[128],"leaderboard":[130],"that":[131,164],"covers":[132],"diverse":[133,179],"settings.":[135],"Both":[136],"pretraining":[137,180],"dataset":[138],"diversity":[139],"size":[142],"significantly":[144],"associated":[145],"better":[147],"average":[148],"ranks":[149],"across":[150],"datasets,":[151],"revealing":[152],"scaling-law":[153],"behavior":[154],"(Figure":[159],"1).":[160],"These":[161],"results":[162],"suggest":[163],"scaling":[165],"requires":[169],"only":[171],"larger":[172],"architectures":[173],"also":[175],"broader":[176],"more":[178],"data.":[181],"The":[182],"code":[184],"is":[185],"available":[186],"at":[187],"https://github.com/ncclab-sustech/omni-eegbench.git.":[188]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-03T00:00:00"}