{"id":"https://openalex.org/W7101416334","doi":"https://doi.org/10.48550/arxiv.2510.20831","title":"BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics","display_name":"BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics","publication_year":2025,"publication_date":"2025-10-11","ids":{"openalex":"https://openalex.org/W7101416334","doi":"https://doi.org/10.48550/arxiv.2510.20831"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2510.20831","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.20831","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":"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.2510.20831","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Asadi, Mehrnaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asadi, Mehrnaz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Javadzadeh, Sina","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javadzadeh, Sina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Soroushmojdehi, Rahil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soroushmojdehi, Rahil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Mousavi, S. Alireza Seyyed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mousavi, S. Alireza Seyyed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Sanger, Terence D.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanger, Terence D.","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/T13989","display_name":"Labour Market and Migration","score":0.023000000044703484,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13989","display_name":"Labour Market and Migration","score":0.023000000044703484,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12764","display_name":"Polish Historical and Cultural Studies","score":0.012799999676644802,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13041","display_name":"Contemporary Social and Economic Issues","score":0.012600000016391277,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.5788999795913696},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5220999717712402},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48240000009536743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44290000200271606},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.4124999940395355},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.3569999933242798},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.3513000011444092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34439998865127563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6861000061035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5993000268936157},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.5788999795913696},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.384799987077713},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C83195618","wikidata":"https://www.wikidata.org/wiki/Q590951","display_name":"Cued speech","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2510.20831","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.20831","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":"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.2510.20831","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.20831","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":"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"how":[1],"distributed":[2],"brain":[3],"regions":[4,99,163],"coordinate":[5],"to":[6,57,87,91,144],"produce":[7],"behavior":[8],"requires":[9],"models":[10],"that":[11,26],"are":[12],"both":[13],"predictive":[14,142],"and":[15,61,127],"interpretable.":[16],"We":[17],"introduce":[18],"Behavior-Adaptive":[19],"Connectivity":[20],"Estimation":[21],"(BACE),":[22],"an":[23,107],"end-to-end":[24],"framework":[25],"learns":[27],"phase-specific,":[28],"directed":[29,80],"inter-regional":[30,125],"connectivity":[31,109,146],"directly":[32],"from":[33,97],"multi-region":[34],"intracranial":[35],"local":[36],"field":[37],"potentials":[38],"(LFP).":[39],"BACE":[40,76,105,148],"aggregates":[41],"many":[42],"micro-contacts":[43],"within":[44],"each":[45,58,112],"anatomical":[46],"region":[47],"via":[48],"per-region":[49],"temporal":[50],"encoders,":[51],"applies":[52],"a":[53,65,101,150],"learnable":[54],"adjacency":[55,131],"specific":[56],"behavioral":[59,114,118,138],"phase,":[60],"is":[62],"trained":[63],"on":[64],"forecasting":[66,84],"objective.":[67],"On":[68],"synthetic":[69],"multivariate":[70],"time":[71],"series":[72],"with":[73],"known":[74],"graphs,":[75],"accurately":[77],"recovers":[78],"ground-truth":[79],"interactions":[81],"while":[82],"achieving":[83],"performance":[85],"comparable":[86],"state-of-the-art":[88],"baselines.":[89],"Applied":[90],"human":[92],"subcortical":[93,162],"LFP":[94],"recorded":[95],"simultaneously":[96],"eight":[98],"during":[100,164],"cued":[102],"reaching":[103],"task,":[104],"yields":[106],"explicit":[108,145],"matrix":[110],"for":[111,133,153],"within-trial":[113],"phase.":[115],"The":[116],"resulting":[117],"phase-specific":[119],"graphs":[120],"reveal":[121],"behavior-aligned":[122],"reconfiguration":[123],"of":[124,161],"influence":[126],"provide":[128],"compact,":[129],"interpretable":[130],"matrices":[132],"comparing":[134],"network":[135],"organization":[136],"across":[137],"phases.":[139],"By":[140],"linking":[141],"success":[143],"estimates,":[147],"offers":[149],"practical":[151],"tool":[152],"generating":[154],"data-driven":[155],"hypotheses":[156],"about":[157],"the":[158],"dynamic":[159],"coordination":[160],"behavior.":[165]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-28T00:00:00"}