{"id":"https://openalex.org/W2264003261","doi":"https://doi.org/10.2312/vcbm.20141189","title":"Visual and Quantitative Analysis of Higher Order Arborization Overlaps for Neural Circuit Research","display_name":"Visual and Quantitative Analysis of Higher Order Arborization Overlaps for Neural Circuit Research","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2264003261","doi":"https://doi.org/10.2312/vcbm.20141189","mag":"2264003261"},"language":"en","primary_location":{"id":"doi:10.2312/vcbm.20141189","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vcbm.20141189","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vcbm.20141189","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037919901","display_name":"Nicolas Swoboda","orcid":null},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Swoboda, Nicolas","raw_affiliation_strings":["VRVis Research Center; Vienna Austria"],"affiliations":[{"raw_affiliation_string":"VRVis Research Center; Vienna Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074828161","display_name":"J. Moosburner","orcid":null},"institutions":[{"id":"https://openalex.org/I64152125","display_name":"Zurich University of the Arts","ror":"https://ror.org/05r0ap620","country_code":"CH","type":"education","lineage":["https://openalex.org/I64152125"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Moosburner, Judith","raw_affiliation_strings":["Zurich University of the Arts, Switzerland"],"affiliations":[{"raw_affiliation_string":"Zurich University of the Arts, Switzerland","institution_ids":["https://openalex.org/I64152125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063965880","display_name":"Stefan Br\u00fcckner","orcid":"https://orcid.org/0000-0002-0885-8402"},"institutions":[{"id":"https://openalex.org/I4432739","display_name":"University of Bergen","ror":"https://ror.org/03zga2b32","country_code":"NO","type":"education","lineage":["https://openalex.org/I4432739"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Bruckner, Stefan","raw_affiliation_strings":["University of Bergen, Norway"],"affiliations":[{"raw_affiliation_string":"University of Bergen, Norway","institution_ids":["https://openalex.org/I4432739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022034999","display_name":"Jai Y. Yu","orcid":"https://orcid.org/0000-0003-0628-2531"},"institutions":[{"id":"https://openalex.org/I76766440","display_name":"University of San Francisco","ror":"https://ror.org/029m7xn54","country_code":"US","type":"education","lineage":["https://openalex.org/I76766440"]},{"id":"https://openalex.org/I180670191","display_name":"University of California, San Francisco","ror":"https://ror.org/043mz5j54","country_code":"US","type":"education","lineage":["https://openalex.org/I180670191"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu, Jai Y.","raw_affiliation_strings":["\u00a7University of California, San Francisco"],"affiliations":[{"raw_affiliation_string":"\u00a7University of California, San Francisco","institution_ids":["https://openalex.org/I180670191","https://openalex.org/I76766440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039360877","display_name":"Barry J. Dickson","orcid":"https://orcid.org/0000-0003-0715-892X"},"institutions":[{"id":"https://openalex.org/I1344073410","display_name":"Howard Hughes Medical Institute","ror":"https://ror.org/006w34k90","country_code":"US","type":"facility","lineage":["https://openalex.org/I1344073410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dickson, Barry J.","raw_affiliation_strings":["Howard Hughes Medical Institute, Ashburn, Virginia#TAB#"],"affiliations":[{"raw_affiliation_string":"Howard Hughes Medical Institute, Ashburn, Virginia#TAB#","institution_ids":["https://openalex.org/I1344073410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085507158","display_name":"Katja B\u00fchler","orcid":"https://orcid.org/0000-0002-0362-7998"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"B\u00fchler, Katja","raw_affiliation_strings":["VRVis Research Center; Vienna Austria"],"affiliations":[{"raw_affiliation_string":"VRVis Research Center; Vienna Austria","institution_ids":["https://openalex.org/I1343190059"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037919901"],"corresponding_institution_ids":["https://openalex.org/I1343190059"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T10702","display_name":"Insect and Arachnid Ecology and Behavior","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10174","display_name":"Animal Behavior and Reproduction","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499989867210388},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5870630145072937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5352020859718323},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.5140565633773804},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48793265223503113},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4842488467693329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3612545132637024},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.36090534925460815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3123984932899475},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1368151307106018}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499989867210388},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5870630145072937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5352020859718323},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.5140565633773804},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48793265223503113},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4842488467693329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3612545132637024},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.36090534925460815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3123984932899475},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1368151307106018},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/vcbm.20141189","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vcbm.20141189","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"article"},{"id":"mag:2264003261","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/vcbm/vcbm2014.html#SwobodaMBYDB14","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Eurographics","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/vcbm.20141189","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vcbm.20141189","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W140624466","https://openalex.org/W1504054592","https://openalex.org/W1545830735","https://openalex.org/W1558398015","https://openalex.org/W1595632545","https://openalex.org/W1971175217","https://openalex.org/W1981024652","https://openalex.org/W1981196392","https://openalex.org/W1981220214","https://openalex.org/W1998601392","https://openalex.org/W2016301031","https://openalex.org/W2037086593","https://openalex.org/W2053815057","https://openalex.org/W2055015381","https://openalex.org/W2059514541","https://openalex.org/W2087375462","https://openalex.org/W2088769034","https://openalex.org/W2092098765","https://openalex.org/W2096777974","https://openalex.org/W2098400026","https://openalex.org/W2112812291","https://openalex.org/W2137600012","https://openalex.org/W2149586697","https://openalex.org/W2158213074","https://openalex.org/W2169331639","https://openalex.org/W2276872238"],"related_works":["https://openalex.org/W1971354419","https://openalex.org/W2808386529","https://openalex.org/W1978412235","https://openalex.org/W3121730866","https://openalex.org/W21698301","https://openalex.org/W2914342397","https://openalex.org/W3203598645","https://openalex.org/W3135048401","https://openalex.org/W2115174471","https://openalex.org/W1632335888","https://openalex.org/W28606360","https://openalex.org/W2312417324","https://openalex.org/W2157778615","https://openalex.org/W2163491780","https://openalex.org/W2900426157","https://openalex.org/W3162241267","https://openalex.org/W2990413194","https://openalex.org/W2989749606","https://openalex.org/W2971293928","https://openalex.org/W1998638558"],"abstract_inverted_index":{"Neuroscientists":[0],"investigate":[1],"neural":[2],"circuits":[3,37],"in":[4,33,131,135,183],"the":[5,8,34,57,69,85,161,164,175,201,206],"brain":[6],"of":[7,36,44,46,59,71,77,87,111,126,205],"common":[9],"fruit":[10],"fly":[11,176],"Drosophila":[12],"melanogaster":[13],"to":[14,95,108,166,178],"discover":[15],"how":[16],"complex":[17],"behavior":[18],"is":[19,29,137],"generated.":[20],"Hypothesis":[21],"building":[22],"on":[23,117,174,189],"potential":[24,53,155],"connections":[25],"between":[26,66],"individual":[27],"neurons":[28,50,88],"an":[30],"essential":[31],"step":[32],"discovery":[35],"that":[38,150],"govern":[39],"a":[40,52,147,190],"specific":[41],"behavior.":[42],"Overlaps":[43],"arborizations":[45,130],"two":[47,129],"or":[48,134,142],"more":[49,80,127],"indicate":[51],"anatomical":[54,186],"connection,":[55],"i.e.":[56],"presence":[58],"joint":[60],"synapses":[61],"responsible":[62],"for":[63,99,154,160],"signal":[64],"transmission":[65],"neurons.":[67],"Obviously,":[68],"number":[70,86],"higher":[72,170],"order":[73,171],"overlaps":[74,76,112,122,173],"(i.e.":[75],"three":[78],"and":[79,168,177,188,197,203],"arborizations)":[81],"increases":[82],"exponentially":[83],"with":[84,195],"under":[89],"investigation":[90],"making":[91],"it":[92],"almost":[93],"impossible":[94],"precompute":[96],"quantitative":[97,191],"information":[98,182],"all":[100],"possible":[101],"combinations.":[102],"Thus,":[103],"existing":[104,152],"solutions":[105],"are":[106,115],"restricted":[107],"pairwise":[109],"comparison":[110],"as":[113],"they":[114],"relying":[116],"precomputed":[118],"overlap":[119],"quantification.":[120],"Analyzing":[121],"by":[123,139,158],"visual":[124,140],"inspection":[125],"than":[128],"2D":[132],"sections":[133],"3D":[136],"impeded":[138],"clutter":[141],"occlusion.":[143],"This":[144],"work":[145],"contributes":[146],"novel":[148],"tool":[149],"complements":[151],"methods":[153],"connectivity":[156],"exploration":[157],"providing":[159],"first":[162],"time":[163],"possibility":[165],"compute":[167],"visualize":[169],"arborization":[172],"interactively":[179],"explore":[180],"this":[181],"its":[184],"spatial":[185],"context":[187],"level.":[192],"Qualitative":[193],"evaluation":[194],"neuroscientists":[196],"non-expert":[198],"users":[199],"demonstrated":[200],"utility":[202],"usability":[204],"tool.":[207]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
