{"id":"https://openalex.org/W2113900663","doi":"https://doi.org/10.1109/prni.2011.13","title":"Neural Code Converter for Visual Image Representation","display_name":"Neural Code Converter for Visual Image Representation","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2113900663","doi":"https://doi.org/10.1109/prni.2011.13","mag":"2113900663"},"language":"en","primary_location":{"id":"doi:10.1109/prni.2011.13","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2011.13","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Workshop on Pattern Recognition in NeuroImaging","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/A5100616622","display_name":"Kentaro Yamada","orcid":"https://orcid.org/0009-0003-8202-7417"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro Yamada","raw_affiliation_strings":["Fundamental Technology Research Center, Honda Research and Development Company Limited, Saitama, Japan","Fundamental Technol. Res. Center, Honda R&D Co., Ltd., Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fundamental Technology Research Center, Honda Research and Development Company Limited, Saitama, Japan","institution_ids":["https://openalex.org/I1283473643"]},{"raw_affiliation_string":"Fundamental Technol. Res. Center, Honda R&D Co., Ltd., Saitama, Japan","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020619481","display_name":"Yoichi Miyawaki","orcid":"https://orcid.org/0000-0001-9581-926X"},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Miyawaki","raw_affiliation_strings":["ATR Computational Neuroscience Laboratories, Kyoto, Japan","ATR Comput. Neurosci. Labs., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR Computational Neuroscience Laboratories, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]},{"raw_affiliation_string":"ATR Comput. Neurosci. Labs., Kyoto, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078484869","display_name":"Yukiyasu Kamitani","orcid":"https://orcid.org/0000-0002-9300-8268"},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukiyasu Kamitani","raw_affiliation_strings":["ATR Computational Neuroscience Laboratories, Kyoto, Japan","ATR Comput. Neurosci. Labs., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR Computational Neuroscience Laboratories, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]},{"raw_affiliation_string":"ATR Comput. Neurosci. Labs., Kyoto, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20167189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"37","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.998199999332428,"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/T11094","display_name":"Face Recognition and Perception","score":0.998199999332428,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9979000091552734,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9969000220298767,"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/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.8235034942626953},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7031546831130981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6605131030082703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6566979885101318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5727010369300842},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5624644756317139},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.499544620513916},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.48034465312957764},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36341190338134766},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3339415490627289},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.26436930894851685},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24929088354110718}],"concepts":[{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.8235034942626953},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7031546831130981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6605131030082703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6566979885101318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5727010369300842},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5624644756317139},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.499544620513916},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.48034465312957764},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36341190338134766},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3339415490627289},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.26436930894851685},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24929088354110718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/prni.2011.13","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2011.13","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Workshop on Pattern Recognition in NeuroImaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W7508719","https://openalex.org/W1663973292","https://openalex.org/W2025402130","https://openalex.org/W2036084760","https://openalex.org/W2037926997","https://openalex.org/W2093793583","https://openalex.org/W2097267381","https://openalex.org/W2112658882","https://openalex.org/W2172168442","https://openalex.org/W2181515537","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W128114763","https://openalex.org/W2042800611","https://openalex.org/W2051472919","https://openalex.org/W4386213410","https://openalex.org/W1981468049","https://openalex.org/W2072179998","https://openalex.org/W2371524820","https://openalex.org/W2534241281","https://openalex.org/W1987060659","https://openalex.org/W37707946"],"abstract_inverted_index":{"Brain":[0],"activity":[1,37,49,100,114,139,177,184],"patterns":[2,50,178],"as":[3,5],"well":[4],"anatomical":[6,14],"structure":[7],"differ":[8],"from":[9,51,136,141],"person":[10,53,65,117],"to":[11,31,46,54,88,110,156,174,188],"person.":[12,143],"Although":[13],"normalization":[15],"techniques":[16],"have":[17],"been":[18],"used":[19,187],"for":[20,101,118,192,203],"functional":[21],"magnetic":[22],"resonance":[23],"imaging":[24],"studies,":[25],"there":[26],"are":[27],"no":[28],"standard":[29],"methods":[30],"deal":[32],"with":[33],"individual":[34],"differences":[35],"in":[36,63,147],"patterns.":[38],"In":[39],"this":[40],"study,":[41],"we":[42,145],"propose":[43],"a":[44,67,77,82,89,149,171,190,201],"method":[45],"convert":[47],"brain":[48,85,99,113,125,138,154,162,176,183,193],"one":[52,64,116],"another":[55,123,142],"by":[56,81],"predicting":[57],"the":[58,112,137,152,195],"intensity":[59],"of":[60,70,84,92,115,160,206],"each":[61],"voxel":[62,68],"using":[66,151],"pattern":[69,191],"another.":[71],"Our":[72],"\"neural":[73],"code":[74,197],"converter\"":[75],"is":[76],"statistical":[78],"model":[79],"trained":[80],"set":[83],"activities":[86],"corresponding":[87],"limited":[90],"number":[91],"random":[93],"visual":[94,104,120,131,207],"images,":[95,121],"and":[96],"can":[97,133],"predict":[98,111],"any":[102],"unseen":[103,119],"image.":[105],"The":[106],"converter":[107,198],"was":[108],"able":[109],"given":[122],"person's":[124],"activity.":[126,163],"We":[127],"also":[128],"confirmed":[129],"that":[130,167],"images":[132],"be":[134,186],"reconstructed":[135],"predicted":[140,153,182],"Furthermore,":[144],"succeeded":[146],"training":[148],"classifier":[150],"activity,":[155],"achieve":[157],"accurate":[158],"decoding":[159],"measured":[161],"These":[164],"results":[165],"suggest":[166],"our":[168],"approach":[169],"offers":[170],"novel":[172],"tool":[173],"compare":[175],"across":[179],"subjects.":[180],"As":[181],"could":[185],"design":[189],"stimulation,":[194],"neural":[196],"may":[199],"provide":[200],"basis":[202],"brain-to-brain":[204],"communication":[205],"images.":[208]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}