{"id":"https://openalex.org/W7204449981","doi":"https://doi.org/10.64898/2026.08.22.746456","title":"NeuroGraphBench: Interacting with Drosophila Connectomes at Scale for Exploring the Functional Logic of Neural Circuits","display_name":"NeuroGraphBench: Interacting with Drosophila Connectomes at Scale for Exploring the Functional Logic of Neural Circuits","publication_year":2026,"publication_date":"2026-08-26","ids":{"openalex":"https://openalex.org/W7204449981","doi":"https://doi.org/10.64898/2026.08.22.746456"},"language":"en","primary_location":{"id":"doi:10.64898/2026.08.22.746456","doi":"https://doi.org/10.64898/2026.08.22.746456","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.08.22.746456","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/11/2026.08.22.746456.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/11/2026.08.22.746456.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040758341","display_name":"Aurel A. Lazar","orcid":"https://orcid.org/0000-0003-4261-8709","observed_orcids":["https://orcid.org/0000-0003-4261-8709"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aurel A. Lazar","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY 10027, USA"],"raw_orcid":"https://orcid.org/0000-0003-4261-8709","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY 10027, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088370701","display_name":"Shashwat Shukla","orcid":"https://orcid.org/0000-0002-7095-4753","observed_orcids":["https://orcid.org/0000-0002-7095-4753"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashwat Shukla","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY 10027, USA"],"raw_orcid":"https://orcid.org/0000-0002-7095-4753","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY 10027, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091137440","display_name":"Yiyin Zhou","orcid":"https://orcid.org/0000-0003-4618-4039","observed_orcids":["https://orcid.org/0000-0003-4618-4039"]},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyin Zhou","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, New York, NY 10023, USA"],"raw_orcid":"https://orcid.org/0000-0003-4618-4039","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, New York, NY 10023, USA","institution_ids":["https://openalex.org/I164389053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040758341"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.01489999983459711,"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":0.006800000090152025,"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/drosophila-connectome","display_name":"Drosophila connectome","score":0.9350000023841858},{"id":"https://openalex.org/keywords/neural-circuit-function","display_name":"neural circuit function","score":0.7170000076293945},{"id":"https://openalex.org/keywords/giant-fiber","display_name":"giant fiber","score":0.9359999895095825},{"id":"https://openalex.org/keywords/retinotopic-organization","display_name":"retinotopic organization","score":0.8550000190734863},{"id":"https://openalex.org/keywords/population-coding","display_name":"population coding","score":0.46399998664855957},{"id":"https://openalex.org/keywords/solid-angle","display_name":"solid angle","score":0.5619999766349792},{"id":"https://openalex.org/keywords/natural-language-query-interface","display_name":"natural language query interface","score":0.43700000643730164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429999709129333},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.6593000292778015},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.5328999757766724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192999839782715},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.38449999690055847},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3783999979496002},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3765999972820282},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3443000018596649},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C2780104201","wikidata":"https://www.wikidata.org/wiki/Q130888","display_name":"Drosophila melanogaster","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C108426073","wikidata":"https://www.wikidata.org/wiki/Q864512","display_name":"Biocybernetics","level":3,"score":0.27970001101493835},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.64898/2026.08.22.746456","doi":"https://doi.org/10.64898/2026.08.22.746456","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.08.22.746456","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/11/2026.08.22.746456.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.64898/2026.08.22.746456","doi":"https://doi.org/10.64898/2026.08.22.746456","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.08.22.746456","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/11/2026.08.22.746456.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G7962306693","display_name":"Generating New Network Analysis Tools for Elucidating the Functional Logic of 3D Vision Circuits of the Drosophila Brain","funder_award_id":"2400687","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204449981.pdf","grobid_xml":"https://content.openalex.org/works/W7204449981.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1538983388","https://openalex.org/W1977675569","https://openalex.org/W2010954960","https://openalex.org/W2033522594","https://openalex.org/W2034002657","https://openalex.org/W2040739363","https://openalex.org/W2060336927","https://openalex.org/W2063272859","https://openalex.org/W2068309352","https://openalex.org/W2070154123","https://openalex.org/W2129036096","https://openalex.org/W2130182339","https://openalex.org/W2139919351","https://openalex.org/W2159675211","https://openalex.org/W2187475020","https://openalex.org/W2313990847","https://openalex.org/W2486948773","https://openalex.org/W2510794071","https://openalex.org/W2567570106","https://openalex.org/W2699457337","https://openalex.org/W2767680158","https://openalex.org/W2780788446","https://openalex.org/W2809863389","https://openalex.org/W2897561061","https://openalex.org/W2919639595","https://openalex.org/W2951107471","https://openalex.org/W3016007634","https://openalex.org/W3130492894","https://openalex.org/W3209171756","https://openalex.org/W4220795574","https://openalex.org/W4313543884","https://openalex.org/W4323256875","https://openalex.org/W4323809195","https://openalex.org/W4366082846","https://openalex.org/W4383823413","https://openalex.org/W4386705326","https://openalex.org/W4396771736","https://openalex.org/W4403062911","https://openalex.org/W4408853456","https://openalex.org/W4410769307","https://openalex.org/W4411023364","https://openalex.org/W4411910148","https://openalex.org/W4412600769","https://openalex.org/W4414623514","https://openalex.org/W4416396678","https://openalex.org/W7127309587","https://openalex.org/W7165486006"],"related_works":["https://openalex.org/W3130492894","https://openalex.org/W2561740328","https://openalex.org/W4414623514","https://openalex.org/W4283162098","https://openalex.org/W3001500463","https://openalex.org/W2470756147","https://openalex.org/W7083174040","https://openalex.org/W2561810255","https://openalex.org/W7214039162","https://openalex.org/W2037086593"],"abstract_inverted_index":{"Abstract":[0],"Drosophila":[1,120],"connectomic":[2,36,175,271,327],"datasets":[3,37],"provide":[4],"increasingly":[5],"comprehensive":[6],"maps":[7],"of":[8,23,50,59,63,128,169,199,206,241,263,333,339],"neuronal":[9],"morphology":[10],"and":[11,95,102,109,158,166,182,209,294,319,325],"synaptic":[12],"connectivity,":[13],"offering":[14],"an":[15,204,280,295,311,340],"unprecedented":[16],"opportunity":[17],"to":[18,33,68,81,232,250,301,304,322],"explore":[19],"the":[20,47,53,57,60,84,87,104,119,126,141,148,154,163,170,196,211,242,247,251,260,264,270,337],"structural":[21,43,185],"organization":[22,168],"its":[24,184,220,234],"neural":[25,64],"circuits.":[26,65],"This":[27],"calls":[28],"for":[29,40,73,113],"designing":[30],"automated":[31],"tools":[32],"interact":[34],"with":[35,279],"at":[38,336],"scale":[39],"efficiently":[41],"exploring":[42],"features":[44],"embedded":[45,173],"in":[46,86,90,174],"vast":[48],"amounts":[49],"data.":[51],"Yet":[52],"central":[54],"challenge":[55],"remains":[56],"understanding":[58],"functional":[61,190,239],"logic":[62],"In":[66],"order":[67],"formulate":[69,97],"a":[70,75,111,134,179,188,200,276],"connectome-grounded":[71,189],"hypothesis":[72],"what":[74],"circuit":[76],"computes,":[77],"it":[78],"is":[79,237],"critical":[80],"(i)":[82,195],"characterize":[83],"objects":[85,130],"natural":[88],"environment":[89],"which":[91],"brain":[92,99],"circuits":[93,100],"operate,":[94],"(ii)":[96,210],"how":[98],"represent":[101],"process":[103],"defined":[105],"objects.":[106],"To":[107,268],"develop":[108],"demonstrate":[110,193],"methodology":[112],"these":[114],"requirements,":[115],"we":[116,177,274],"focus":[117],"on":[118,133,147,310],"looming-evoked":[121],"escape":[122],"pathway.":[123],"We":[124,192],"modeled":[125,224],"trajectory":[127],"looming":[129,171,201],"that":[131,194,245,298],"are":[132,230],"collision":[135],"course":[136],"(direct-hits)":[137],"or":[138],"pass":[139],"by":[140,153,308],"fly":[142],"(near-misses):":[143],"their":[144],"projected":[145],"images":[146],"retina":[149],"can":[150],"be":[151],"characterized":[152],"subtended":[155],"solid":[156,261],"angle":[157,262],"center":[159,252,338],"elevation.":[160],"By":[161],"analyzing":[162],"sub-neuronal":[164],"structure":[165],"retinotopic":[167],"pathway":[172,180],"datasets,":[176],"devised":[178],"abstraction,":[181],"mapped":[183],"elements":[186],"into":[187],"model.":[191],"expanding":[197],"boundary":[198],"object":[202],"activates":[203],"annulus":[205],"LPLC2":[207],"neurons,":[208],"Giant":[212],"Fiber":[213],"reads":[214],"out":[215],"this":[216,238],"population":[217],"code":[218],"through":[219],"two":[221,265],"dendritic":[222,243],"branches,":[223],"as":[225],"separate":[226],"units":[227],"whose":[228],"outputs":[229],"combined":[231],"drive":[233],"axon.":[235],"It":[236],"separation":[240],"branches":[244],"gives":[246],"model":[248],"access":[249],"elevation,":[253],"separating":[254],"direct-hits":[255],"from":[256],"near-misses":[257],"well":[258],"before":[259],"trajectories":[266],"diverge.":[267],"accelerate":[269],"analysis":[272],"step,":[273],"developed":[275],"Python":[277],"toolset":[278],"agentic,":[281],"code-free":[282],"workspace":[283],"interface":[284],"called":[285],"NeuroGraphBench":[286],"(NGB).":[287],"NGB":[288,316],"provides":[289],"four":[290],"composable":[291],"morphology-analysis":[292],"primitives":[293],"AI":[296],"Agent":[297],"composes":[299],"them":[300],"interactively":[302],"respond":[303],"natural-language":[305],"queries":[306],"aided":[307],"visualization":[309],"interactive":[312],"3D":[313],"canvas.":[314],"Thus,":[315],"automates":[317],"tedious":[318],"repetitive":[320],"tasks":[321],"enable":[323],"faster":[324],"scalable":[326],"exploration,":[328],"keeping":[329],"human":[330],"reasoning,":[331],"instead":[332],"writing":[334],"code,":[335],"open-ended":[341],"research":[342],"inquiry.":[343]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-28T00:00:00"}