{"id":"https://openalex.org/W7103180935","doi":"https://doi.org/10.48550/arxiv.2510.25976","title":"Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer","display_name":"Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer","publication_year":2025,"publication_date":"2025-10-29","ids":{"openalex":"https://openalex.org/W7103180935","doi":"https://doi.org/10.48550/arxiv.2510.25976"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2510.25976","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.25976","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2510.25976","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Beliy, Roman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beliy, Roman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zalcher, Amit","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zalcher, Amit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kogman, Jonathan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kogman, Jonathan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wasserman, Navve","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wasserman, Navve","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Irani, Michal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irani, Michal","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":true,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.7986999750137329,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.7986999750137329,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.04989999905228615,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.0471000000834465,"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/transformer","display_name":"Transformer","score":0.5091000199317932},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5038999915122986},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44760000705718994},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43149998784065247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34470000863075256},{"id":"https://openalex.org/keywords/diffusion-imaging","display_name":"Diffusion imaging","score":0.30160000920295715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444000244140625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193000078201294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5946999788284302},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5091000199317932},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5038999915122986},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C2992283565","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion imaging","level":4,"score":0.30160000920295715},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.26460000872612}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2510.25976","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.25976","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2510.25976","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.25976","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"images":[1],"seen":[2,33,173],"by":[3,22,63,83,183],"people":[4],"from":[5,152,167,194],"their":[6],"fMRI":[7,168,192],"brain":[8],"recordings":[9],"provides":[10],"a":[11,38,46,92,195],"non-invasive":[12],"window":[13],"into":[14],"the":[15,31,99,115,119,124,134,138,143,172],"human":[16],"brain.":[17],"Despite":[18],"recent":[19],"progress":[20],"enabled":[21],"diffusion":[23,116,135],"models,":[24],"current":[25,177,203],"methods":[26,204],"often":[27],"lack":[28],"faithfulness":[29],"to":[30,132,155,202],"actual":[32],"images.":[34],"We":[35],"present":[36],"\"Brain-IT\",":[37],"brain-inspired":[39],"approach":[40],"that":[41,169],"addresses":[42],"this":[43],"challenge":[44],"through":[45],"Brain":[47],"Interaction":[48],"Transformer":[49],"(BIT),":[50],"allowing":[51,88],"effective":[52],"interactions":[53],"between":[54],"clusters":[55,85,154],"of":[56,95,123,142,150,191],"functionally-similar":[57],"brain-voxels.":[58],"These":[59],"functional-clusters":[60],"are":[61,81],"shared":[62,82],"all":[64,84],"subjects,":[65,87],"serving":[66],"as":[67],"building":[68],"blocks":[69],"for":[70],"integrating":[71],"information":[72,151],"both":[73,180],"within":[74],"and":[75,126,175,182],"across":[76],"brains.":[77],"All":[78],"model":[79,117],"components":[80],"&amp;":[86],"efficient":[89],"training":[90],"with":[91,137,188],"limited":[93],"amount":[94],"data.":[96],"To":[97],"guide":[98],"image":[100,108,157,165],"reconstruction,":[101],"BIT":[102],"predicts":[103],"two":[104],"complementary":[105],"localized":[106,156],"patch-level":[107],"features:":[109],"(i)high-level":[110],"semantic":[111,121],"features":[112,129],"which":[113,130],"steer":[114],"toward":[118],"correct":[120,139],"content":[122],"image;":[125],"(ii)low-level":[127],"structural":[128],"help":[131],"initialize":[133],"process":[136],"coarse":[140],"layout":[141],"image.":[144],"BIT's":[145],"design":[146],"enables":[147],"direct":[148],"flow":[149],"brain-voxel":[153],"features.":[158],"Through":[159],"these":[160],"principles,":[161],"our":[162],"method":[163],"achieves":[164],"reconstructions":[166],"faithfully":[170],"reconstruct":[171],"images,":[174],"surpass":[176],"SotA":[178],"approaches":[179],"visually":[181],"standard":[184],"objective":[185],"metrics.":[186],"Moreover,":[187],"only":[189],"1-hour":[190],"data":[193],"new":[196],"subject,":[197],"we":[198],"achieve":[199],"results":[200],"comparable":[201],"trained":[205],"on":[206],"full":[207],"40-hour":[208],"recordings.":[209]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-11-01T00:00:00"}
