{"id":"https://openalex.org/W7163574769","doi":"https://doi.org/10.48550/arxiv.2606.04772","title":"Coarse-to-fine Hierarchical Architecture with Sequential Mamba for Brain Reconstruction","display_name":"Coarse-to-fine Hierarchical Architecture with Sequential Mamba for Brain Reconstruction","publication_year":2026,"publication_date":"2026-06-03","ids":{"openalex":"https://openalex.org/W7163574769","doi":"https://doi.org/10.48550/arxiv.2606.04772"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.04772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04772","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2606.04772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137872727","display_name":"Hoang-Son Vo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vo, Hoang-Son","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137913123","display_name":"Van-Hung Bui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bui, Van-Hung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137817287","display_name":"Minh-Huy Mai-Duc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mai-Duc, Minh-Huy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124875536","display_name":"Tien-Dung Mai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mai, Tien-Dung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137809670","display_name":"Soo-Hyung Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Soo-Hyung","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/T11094","display_name":"Face Recognition and Perception","score":0.8213000297546387,"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":0.8213000297546387,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.07190000265836716,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01549999974668026,"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/visual-cortex","display_name":"Visual cortex","score":0.6395999789237976},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6037999987602234},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5099999904632568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4717999994754791},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4643999934196472},{"id":"https://openalex.org/keywords/cognitive-architecture","display_name":"Cognitive architecture","score":0.4372999966144562},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4262000024318695},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4052000045776367},{"id":"https://openalex.org/keywords/cls-upper-limits","display_name":"CLs upper limits","score":0.3190000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7383999824523926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6811000108718872},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.6395999789237976},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6037999987602234},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5099999904632568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4717999994754791},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4643999934196472},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.4372999966144562},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4262000024318695},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4052000045776367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3328000009059906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3314000070095062},{"id":"https://openalex.org/C190729725","wikidata":"https://www.wikidata.org/wiki/Q5012817","display_name":"CLs upper limits","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.304500013589859},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C2993858690","wikidata":"https://www.wikidata.org/wiki/Q744385","display_name":"Temporal cortex","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C2778251979","wikidata":"https://www.wikidata.org/wiki/Q7936617","display_name":"Visual processing","level":3,"score":0.2709999978542328},{"id":"https://openalex.org/C15286952","wikidata":"https://www.wikidata.org/wiki/Q8037925","display_name":"Computational neuroscience","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C2780217385","wikidata":"https://www.wikidata.org/wiki/Q2389284","display_name":"Hierarchical organization","level":2,"score":0.25130000710487366},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.04772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04772","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.04772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04772","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"the":[1,8,32,36,79,83,113,154,167,192,203],"relationship":[2],"between":[3],"deep":[4],"visual":[5,10,38,84,162,209],"representations":[6],"and":[7,68,73,128,140],"human":[9,37],"system":[11],"is":[12,89,157],"a":[13,50,61,109,123,178,206],"fundamental":[14],"challenge":[15],"in":[16,26],"computational":[17],"neuroscience.":[18],"While":[19],"modern":[20],"vision":[21],"models":[22],"achieve":[23],"strong":[24],"performance":[25],"image":[27],"recognition,":[28],"their":[29],"correspondence":[30,179],"with":[31,198],"hierarchical":[33,52],"organization":[34,81],"of":[35,82,126,131],"cortex":[39,163],"remains":[40],"an":[41,129,151],"open":[42],"question.":[43],"In":[44],"this":[45],"study,":[46],"we":[47],"propose":[48],"CHASMBrain,":[49],"novel":[51],"two-stage":[53],"framework":[54],"for":[55],"image-to-fMRI":[56],"encoding.":[57],"Our":[58],"architecture":[59],"leverages":[60],"dual-stream":[62],"Mamba":[63],"design":[64],"to":[65,160,174],"explicitly":[66],"separate":[67],"process":[69],"global":[70],"semantic":[71,172],"tokens":[72],"local":[74],"spatial":[75],"patches,":[76],"motivated":[77],"by":[78],"functional":[80],"cortex.":[85],"A":[86],"coarse-to-fine":[87],"strategy":[88],"employed:":[90],"Stage":[91,98],"1":[92],"predicts":[93],"denoised":[94],"ROI-level":[95],"activations,":[96],"while":[97,166],"2":[99],"refines":[100],"these":[101],"coarse":[102],"responses":[103],"into":[104],"full":[105],"voxel-level":[106],"predictions":[107],"using":[108],"Mamba-VAE.":[110],"Experiments":[111],"on":[112],"Natural":[114],"Scenes":[115],"Dataset":[116],"(NSD)":[117],"demonstrate":[118],"that":[119,180,191],"our":[120],"method":[121],"achieves":[122],"Pearson":[124],"correlation":[125],"0.429":[127],"MSE":[130],"0.261,":[132],"outperforming":[133],"all":[134],"evaluated":[135],"baselines":[136],"including":[137],"ridge":[138],"regression":[139],"DINOv2":[141],"linear":[142],"probes.":[143],"Beyond":[144],"predictive":[145],"performance,":[146],"causal":[147],"branch-ablation":[148],"experiments":[149,188],"reveal":[150],"asymmetric":[152],"specialization:":[153],"patch":[155],"stream":[156,169],"specifically":[158],"locked":[159],"early":[161],"(retinotopic":[164],"regions),":[165],"CLS":[168],"contributes":[170],"broader":[171],"context":[173],"higher-order":[175],"areas":[176],"--":[177],"holds":[181],"causally,":[182],"not":[183],"merely":[184],"correlationally.":[185],"Cross-subject":[186],"transfer":[187],"further":[189],"show":[190],"learned":[193],"backbone":[194],"generalizes":[195],"across":[196],"individuals":[197],"minimal":[199],"per-subject":[200],"adaptation,":[201],"suggesting":[202],"model":[204],"captures":[205],"shared,":[207],"subject-agnostic":[208],"representation.":[210]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-05T00:00:00"}
