{"id":"https://openalex.org/W4415524398","doi":"https://doi.org/10.1109/mlsp62443.2025.11204210","title":"On the Role of Low-Level Visual Features in EEG-Based Image Reconstruction","display_name":"On the Role of Low-Level Visual Features in EEG-Based Image Reconstruction","publication_year":2025,"publication_date":"2025-08-31","ids":{"openalex":"https://openalex.org/W4415524398","doi":"https://doi.org/10.1109/mlsp62443.2025.11204210"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp62443.2025.11204210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp62443.2025.11204210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/files/637892976/MLSP_EEGdecoding_Preprint.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032833390","display_name":"Junkai Yang","orcid":"https://orcid.org/0009-0003-8795-0489"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Junkai Yang","raw_affiliation_strings":["School of Informatics, University of Edinburgh,Edinburgh,UK"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh,Edinburgh,UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040300648","display_name":"Arno Onken","orcid":"https://orcid.org/0000-0001-7387-5535"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arno Onken","raw_affiliation_strings":["School of Informatics, University of Edinburgh,Edinburgh,UK"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh,Edinburgh,UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032833390"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30837029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9312000274658203,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9312000274658203,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7534000277519226},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7156999707221985},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5741999745368958},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5514000058174133},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.43529999256134033},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33379998803138733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3221000134944916}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7534000277519226},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7156999707221985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689300000667572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6060000061988831},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5514000058174133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4693000018596649},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.2906999886035919},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mlsp62443.2025.11204210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp62443.2025.11204210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/6f6773da-aeea-4741-82dc-48446cb010ad","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/6f6773da-aeea-4741-82dc-48446cb010ad","pdf_url":"https://www.research.ed.ac.uk/files/637892976/MLSP_EEGdecoding_Preprint.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"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":"Yang, J & Onken, A 2025, On the role of low-level visual features in EEG-based image reconstruction. in 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE International Workshop on Machine Learning for Signal Processing, Institute of Electrical and Electronics Engineers, pp. 1-6, The 35th IEEE International Workshop on Machine Learning for Signal Processing, Istanbul, Turkey, 31/08/25. https://doi.org/10.1109/MLSP62443.2025.11204210","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/6f6773da-aeea-4741-82dc-48446cb010ad","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/6f6773da-aeea-4741-82dc-48446cb010ad","pdf_url":"https://www.research.ed.ac.uk/files/637892976/MLSP_EEGdecoding_Preprint.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"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":"Yang, J & Onken, A 2025, On the role of low-level visual features in EEG-based image reconstruction. in 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE International Workshop on Machine Learning for Signal Processing, Institute of Electrical and Electronics Engineers, pp. 1-6, The 35th IEEE International Workshop on Machine Learning for Signal Processing, Istanbul, Turkey, 31/08/25. https://doi.org/10.1109/MLSP62443.2025.11204210","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415524398.pdf","grobid_xml":"https://content.openalex.org/works/W4415524398.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1493718371","https://openalex.org/W2601369343","https://openalex.org/W2962785568","https://openalex.org/W3026561172","https://openalex.org/W3107800993","https://openalex.org/W4309409002","https://openalex.org/W4312597583","https://openalex.org/W4312933868","https://openalex.org/W4386067998","https://openalex.org/W4386076190","https://openalex.org/W4387378260","https://openalex.org/W4400682539","https://openalex.org/W4403757510","https://openalex.org/W4409365422"],"related_works":[],"abstract_inverted_index":{"Decoding":[0],"visual":[1,66,93],"stimuli":[2],"from":[3,121],"electroencephalography":[4],"(EEG)":[5],"has":[6],"gained":[7],"increasing":[8],"attention":[9],"in":[10],"recent":[11],"years":[12],"due":[13],"to":[14,28,77,90,99,125,179],"EEG's":[15],"affordability,":[16],"portability,":[17],"and":[18,55,72,130,137,152,167],"high":[19],"temporal":[20],"resolution.":[21],"State-of-the-art":[22],"approaches":[23],"typically":[24],"map":[25],"EEG":[26,78,111,122,182],"signals":[27,139,183],"Contrastive":[29],"Language":[30],"Image":[31],"Pre-training":[32],"(CLIP)":[33],"embeddings":[34],"via":[35],"contrastive":[36],"learning,":[37],"followed":[38],"by":[39],"image":[40,185],"reconstruction":[41],"using":[42],"conditional":[43],"diffusion":[44,143],"models.":[45],"These":[46,157],"methods":[47],"were":[48],"originally":[49],"developed":[50],"for":[51,110,162,184],"other":[52],"imaging":[53],"techniques":[54],"mainly":[56],"focus":[57],"on":[58],"reconstructing":[59],"high-level":[60,138],"semantic":[61,131,155],"information,":[62],"often":[63],"neglecting":[64],"low-level":[65,92,136,150,165],"features":[67],"such":[68],"as":[69],"color,":[70],"texture,":[71],"posture,":[73],"especially":[74],"when":[75],"applied":[76],"signals.":[79],"In":[80],"this":[81],"study,":[82],"we":[83],"explore":[84],"a":[85,141],"two-level":[86,174],"decoding":[87,175],"framework":[88,176],"designed":[89],"incorporate":[91],"information":[94,120],"alongside":[95],"highlevel":[96],"representations.":[97],"Compared":[98],"the":[100,106,135,149,160,173],"Adaptive":[101],"Thinking":[102],"Mapper":[103],"(ATM)":[104],"baseline,":[105],"current":[107],"state-of-the-art":[108],"method":[109],"decoding,":[112],"our":[113],"model":[114],"demonstrates":[115],"improved":[116,146],"recovery":[117],"of":[118,148,154,172],"coarse":[119],"but":[123],"continues":[124],"struggle":[126],"with":[127],"fine-grained":[128],"details":[129,151],"completeness.":[132],"Furthermore,":[133],"integrating":[134],"into":[140],"stable":[142],"technique":[144],"revealed":[145],"preservation":[147],"degradation":[153],"coherence.":[156],"findings":[158],"underscore":[159],"need":[161],"more":[163],"effective":[164],"modeling":[166],"suggest":[168],"that":[169],"further":[170],"exploration":[171],"is":[177],"required":[178],"better":[180],"leverage":[181],"reconstruction.":[186],"Code:":[187],"https://github.com/jyang635/EEG_decoding.git":[188]},"counts_by_year":[],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-24T00:00:00"}