{"id":"https://openalex.org/W4383376418","doi":"https://doi.org/10.3390/e25071026","title":"Discovering Low-Dimensional Descriptions of Multineuronal Dependencies","display_name":"Discovering Low-Dimensional Descriptions of Multineuronal Dependencies","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4383376418","doi":"https://doi.org/10.3390/e25071026","pmid":"https://pubmed.ncbi.nlm.nih.gov/37509973"},"language":"en","primary_location":{"id":"doi:10.3390/e25071026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25071026","pdf_url":"https://www.mdpi.com/1099-4300/25/7/1026/pdf?version=1688617544","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/7/1026/pdf?version=1688617544","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039259263","display_name":"Lazaros Mitskopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lazaros Mitskopoulos","raw_affiliation_strings":["School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040300648","display_name":"Arno Onken","orcid":"https://orcid.org/0000-0001-7387-5535"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arno Onken","raw_affiliation_strings":["School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK"],"raw_orcid":"https://orcid.org/0000-0001-7387-5535","affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039259263"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08772566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"7","first_page":"1026","last_page":"1026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"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":0.9965999722480774,"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/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612566709518433},{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.6400817036628723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5481548309326172},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5384535193443298},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5190047025680542},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4806326925754547},{"id":"https://openalex.org/keywords/vine-copula","display_name":"Vine copula","score":0.4714924991130829},{"id":"https://openalex.org/keywords/macaque","display_name":"Macaque","score":0.4237234890460968},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4105425477027893},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.39911729097366333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3657325208187103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36114341020584106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22085535526275635},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.14212554693222046},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10437583923339844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612566709518433},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.6400817036628723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5481548309326172},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5384535193443298},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5190047025680542},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4806326925754547},{"id":"https://openalex.org/C2779676228","wikidata":"https://www.wikidata.org/wiki/Q25303905","display_name":"Vine copula","level":3,"score":0.4714924991130829},{"id":"https://openalex.org/C2778950215","wikidata":"https://www.wikidata.org/wiki/Q177601","display_name":"Macaque","level":2,"score":0.4237234890460968},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4105425477027893},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.39911729097366333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3657325208187103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36114341020584106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22085535526275635},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.14212554693222046},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10437583923339844},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/e25071026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25071026","pdf_url":"https://www.mdpi.com/1099-4300/25/7/1026/pdf?version=1688617544","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:37509973","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37509973","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10378554","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10378554","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10378554/pdf/entropy-25-01026.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:pure.ed.ac.uk:publications/4652913c-f89a-48f2-8eb9-805ecb9b1631","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/4652913c-f89a-48f2-8eb9-805ecb9b1631","pdf_url":"https://www.research.ed.ac.uk/files/366891351/Discovering_Low_MITSKOPOULOS_DOA04072023_VOR_CC_BY.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mitskopoulos, L & Onken, A 2023, 'Discovering Low-Dimensional Descriptions of Multineuronal Dependencies', Entropy, vol. 25, no. 7, 1026, pp. 1-16. https://doi.org/10.3390/e25071026","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:990a51ecb7c14c21b6237e2a1db3c7a8","is_oa":true,"landing_page_url":"https://doaj.org/article/990a51ecb7c14c21b6237e2a1db3c7a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 7, p 1026 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/7/1026/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25071026","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 25; Issue 7; Pages: 1026","raw_type":"Text"},{"id":"pmh:oai:pure.ed.ac.uk:publications/4652913c-f89a-48f2-8eb9-805ecb9b1631","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.11820/4652913c-f89a-48f2-8eb9-805ecb9b1631","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.3390/e25071026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25071026","pdf_url":"https://www.mdpi.com/1099-4300/25/7/1026/pdf?version=1688617544","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3114138334","display_name":"Novel techniques for stochastic modelling of time-dependent multivariate relationships with application to primary visual cortex","funder_award_id":"EP/S005692/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3817770730","display_name":"DTP Bid Led by University of Edinburgh","funder_award_id":"MR/N013166/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G6411490384","display_name":null,"funder_award_id":"EP/S005692/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4383376418.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1558013848","https://openalex.org/W1902027874","https://openalex.org/W1972727462","https://openalex.org/W1973761476","https://openalex.org/W1974803102","https://openalex.org/W1984931822","https://openalex.org/W1991266025","https://openalex.org/W1992105816","https://openalex.org/W1994403842","https://openalex.org/W2004478098","https://openalex.org/W2014293473","https://openalex.org/W2019849436","https://openalex.org/W2043480380","https://openalex.org/W2062698525","https://openalex.org/W2069519142","https://openalex.org/W2072974424","https://openalex.org/W2073768640","https://openalex.org/W2086496920","https://openalex.org/W2087790185","https://openalex.org/W2090499758","https://openalex.org/W2093386234","https://openalex.org/W2094542709","https://openalex.org/W2097668262","https://openalex.org/W2098531347","https://openalex.org/W2100493539","https://openalex.org/W2110182275","https://openalex.org/W2111761474","https://openalex.org/W2113547349","https://openalex.org/W2115686767","https://openalex.org/W2120844127","https://openalex.org/W2193980824","https://openalex.org/W2491929758","https://openalex.org/W2554413263","https://openalex.org/W2566738875","https://openalex.org/W2607311663","https://openalex.org/W2622511289","https://openalex.org/W2724114697","https://openalex.org/W2767493192","https://openalex.org/W2787262037","https://openalex.org/W2921097704","https://openalex.org/W2963812188","https://openalex.org/W2963916324","https://openalex.org/W2998993395","https://openalex.org/W3000376115","https://openalex.org/W3014946137","https://openalex.org/W3041725488","https://openalex.org/W3046527094","https://openalex.org/W3099790688","https://openalex.org/W3104577407","https://openalex.org/W3141799644","https://openalex.org/W3186676962","https://openalex.org/W4231691288","https://openalex.org/W4233062146","https://openalex.org/W4283364078","https://openalex.org/W4297011332","https://openalex.org/W6610566761","https://openalex.org/W6674385629","https://openalex.org/W6676626746","https://openalex.org/W6676967881","https://openalex.org/W6730124893","https://openalex.org/W6763486065"],"related_works":["https://openalex.org/W3037440021","https://openalex.org/W2172691568","https://openalex.org/W3041085928","https://openalex.org/W2922061780","https://openalex.org/W2744668118","https://openalex.org/W2393681788","https://openalex.org/W2981878596","https://openalex.org/W3036914094","https://openalex.org/W2237437671","https://openalex.org/W2794543231"],"abstract_inverted_index":{"Coordinated":[0],"activity":[1],"in":[2,61,136,158,166],"neural":[3,24,76,137,175],"populations":[4],"is":[5,20,117],"crucial":[6],"for":[7,87,95],"information":[8],"processing.":[9],"Shedding":[10],"light":[11],"on":[12,30,105,144,150],"the":[13,48,58,62,106,142,159,167,196],"multivariate":[14],"dependencies":[15,77,110,176],"that":[16,44,174,193],"shape":[17,45],"multineuronal":[18],"responses":[19],"important":[21],"to":[22,74,99,131,186,189],"understand":[23],"codes.":[25],"However,":[26],"existing":[27],"approaches":[28,52],"based":[29],"pairwise":[31],"linear":[32],"correlations":[33],"are":[34,183],"inadequate":[35],"at":[36],"capturing":[37],"complicated":[38],"interaction":[39,191],"patterns":[40,192],"and":[41,147],"miss":[42],"features":[43,135],"aspects":[46],"of":[47,66,108,114,156],"population":[49,67,138,197],"function.":[50,198],"Copula-based":[51],"address":[53],"these":[54,109],"shortcomings":[55],"by":[56],"extracting":[57],"dependence":[59],"structures":[60],"joint":[63],"probability":[64],"distribution":[65],"responses.":[68],"In":[69],"this":[70,92,121],"study,":[71],"we":[72,123,152],"aimed":[73],"dissect":[75],"with":[78,84],"a":[79,125],"C-Vine":[80],"copula":[81,89,115],"approach":[82,93],"coupled":[83],"normalizing":[85],"flows":[86],"estimating":[88],"densities.":[90],"While":[91],"allows":[94],"more":[96],"flexibility":[97],"compared":[98],"fitting":[100],"parametric":[101],"copulas,":[102],"drawing":[103],"insights":[104],"significance":[107],"from":[111,154],"large":[112],"sets":[113],"densities":[116],"challenging.":[118],"To":[119],"alleviate":[120],"challenge,":[122],"used":[124],"weighted":[126],"non-negative":[127],"matrix":[128],"factorization":[129],"procedure":[130],"leverage":[132],"shared":[133],"latent":[134],"dependencies.":[139],"We":[140],"validated":[141],"method":[143],"simulated":[145],"data":[146],"applied":[148],"it":[149],"copulas":[151],"extracted":[153],"recordings":[155],"neurons":[157],"mouse":[160],"visual":[161],"cortex":[162],"as":[163,165],"well":[164],"macaque":[168],"motor":[169],"cortex.":[170],"Our":[171],"findings":[172],"reveal":[173],"occupy":[177],"low-dimensional":[178],"subspaces,":[179],"but":[180],"distinct":[181],"modules":[182],"synergistically":[184],"combined":[185],"give":[187],"rise":[188],"diverse":[190],"may":[194],"serve":[195]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
