{"id":"https://openalex.org/W4387569604","doi":"https://doi.org/10.1371/journal.pcbi.1011509","title":"Modeling functional cell types in spike train data","display_name":"Modeling functional cell types in spike train data","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4387569604","doi":"https://doi.org/10.1371/journal.pcbi.1011509","pmid":"https://pubmed.ncbi.nlm.nih.gov/37824442"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1011509","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011509","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011509&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011509&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069577300","display_name":"Daniel N. Zdeblick","orcid":"https://orcid.org/0009-0002-6869-796X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel N. Zdeblick","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046602924","display_name":"Eric Shea\u2010Brown","orcid":"https://orcid.org/0000-0002-9012-1396"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric T. Shea-Brown","raw_affiliation_strings":["Department of Applied Math, University of Washington, Seattle, Washington, United States of America","MindScope Program, Allen Institute, Seattle, Washington, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Applied Math, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"MindScope Program, Allen Institute, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I4210140341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031682567","display_name":"Daniela Witten","orcid":"https://orcid.org/0000-0002-1764-1184"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniela M. Witten","raw_affiliation_strings":["Department of Statistics and Biostatistics, University of Washington, Seattle, Washington, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Biostatistics, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086928889","display_name":"Michael A. Buice","orcid":"https://orcid.org/0000-0002-2196-1498"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael A. Buice","raw_affiliation_strings":["Department of Applied Math, University of Washington, Seattle, Washington, United States of America","MindScope Program, Allen Institute, Seattle, Washington, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Applied Math, University of Washington, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"MindScope Program, Allen Institute, Seattle, Washington, United States of America","institution_ids":["https://openalex.org/I4210140341"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031682567","https://openalex.org/A5046602924","https://openalex.org/A5069577300","https://openalex.org/A5086928889"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I4210140341"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.176,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50349701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","issue":"10","first_page":"e1011509","last_page":"e1011509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9995999932289124,"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":0.9995999932289124,"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/T11266","display_name":"Neuroinflammation and Neurodegeneration Mechanisms","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.9948999881744385,"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":0.7000800371170044},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6695494651794434},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5945779085159302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5775067806243896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5231472253799438},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.518858790397644},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.47555774450302124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47513774037361145},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.44877445697784424},{"id":"https://openalex.org/keywords/cell-type","display_name":"Cell type","score":0.4444807171821594},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.43034327030181885},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.42251652479171753},{"id":"https://openalex.org/keywords/computational-neuroscience","display_name":"Computational neuroscience","score":0.41682469844818115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4165887236595154},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3539540469646454},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.32457631826400757},{"id":"https://openalex.org/keywords/cell","display_name":"Cell","score":0.18685981631278992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1721925139427185},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12501037120819092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000800371170044},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6695494651794434},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5945779085159302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5775067806243896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5231472253799438},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.518858790397644},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.47555774450302124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47513774037361145},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.44877445697784424},{"id":"https://openalex.org/C189014844","wikidata":"https://www.wikidata.org/wiki/Q189118","display_name":"Cell type","level":3,"score":0.4444807171821594},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.43034327030181885},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.42251652479171753},{"id":"https://openalex.org/C15286952","wikidata":"https://www.wikidata.org/wiki/Q8037925","display_name":"Computational neuroscience","level":2,"score":0.41682469844818115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4165887236595154},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3539540469646454},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.32457631826400757},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.18685981631278992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1721925139427185},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12501037120819092},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1011509","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011509","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011509&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:37824442","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37824442","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10569560","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10569560","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10569560/pdf/pcbi.1011509.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:RePEc:plo:pcbi00:1011509","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011509","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:8823e4ef344645d9893b569a5f5a4796","is_oa":true,"landing_page_url":"https://doaj.org/article/8823e4ef344645d9893b569a5f5a4796","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 19, Iss 10, p e1011509 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1011509","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011509","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011509&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6214714787","display_name":null,"funder_award_id":"R01DA047869","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7195390705","display_name":null,"funder_award_id":"R01EB026908","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306164","display_name":"Simons Foundation","ror":"https://ror.org/01cmst727"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387569604.pdf","grobid_xml":"https://content.openalex.org/works/W4387569604.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1576838367","https://openalex.org/W1603661052","https://openalex.org/W1972042913","https://openalex.org/W2000470900","https://openalex.org/W2032774015","https://openalex.org/W2049633694","https://openalex.org/W2069519142","https://openalex.org/W2101234009","https://openalex.org/W2135908272","https://openalex.org/W2140195253","https://openalex.org/W2179178098","https://openalex.org/W2225156818","https://openalex.org/W2231058499","https://openalex.org/W2314109860","https://openalex.org/W2766505053","https://openalex.org/W2949311293","https://openalex.org/W2950833128","https://openalex.org/W2950976066","https://openalex.org/W2952921509","https://openalex.org/W2953286293","https://openalex.org/W2963396462","https://openalex.org/W3101846945","https://openalex.org/W4212774754","https://openalex.org/W4281663412","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2174331923","https://openalex.org/W2050175337","https://openalex.org/W2329992713","https://openalex.org/W3050304047","https://openalex.org/W2317338006","https://openalex.org/W2385487847","https://openalex.org/W2062974934","https://openalex.org/W2385476654","https://openalex.org/W4297933911","https://openalex.org/W2949869559"],"abstract_inverted_index":{"A":[0],"major":[1],"goal":[2],"of":[3,11,14,72,126,166],"computational":[4],"neuroscience":[5],"is":[6],"to":[7,20,33,81,107,144,163],"build":[8],"accurate":[9],"models":[10,36,88,165],"the":[12,70,73,98,132,161],"activity":[13],"neurons":[15,113],"that":[16,68,94,121,131],"can":[17],"be":[18],"used":[19],"interpret":[21],"their":[22],"function":[23],"in":[24,108,114],"circuits.":[25],"Here,":[26],"we":[27,45],"explore":[28],"using":[29],"functional":[30,174],"cell":[31,52,83],"types":[32,84],"refine":[34],"single-cell":[35,54,87,127],"by":[37,169],"grouping":[38],"them":[39],"into":[40],"functionally":[41],"relevant":[42],"classes.":[43],"Formally,":[44],"define":[46],"a":[47],"hierarchical":[48],"generative":[49],"model":[50],"for":[51,172],"types,":[53],"parameters,":[55],"and":[56,59,85,92,119,139,141,155],"neural":[57,74,110,167],"responses,":[58],"then":[60,103,147],"derive":[61],"an":[62],"expectation-maximization":[63],"algorithm":[64],"with":[65,152],"variational":[66],"inference":[67],"maximizes":[69],"likelihood":[71],"recordings.":[75],"We":[76,102,129,146],"apply":[77,104],"this":[78],"\"simultaneous\"":[79],"method":[80],"estimate":[82],"fit":[86],"from":[89,112],"simulated":[90],"data,":[91],"find":[93,120],"it":[95,122],"accurately":[96],"recovers":[97],"ground":[99],"truth":[100],"parameters.":[101],"our":[105],"approach":[106],"vitro":[109],"recordings":[111],"mouse":[115],"primary":[116],"visual":[117],"cortex,":[118],"yields":[123],"improved":[124],"prediction":[125],"activity.":[128],"demonstrate":[130],"discovered":[133,149],"cell-type":[134],"clusters":[135],"are":[136],"well":[137],"separated":[138],"generalizable,":[140],"thus":[142],"amenable":[143],"interpretation.":[145],"compare":[148],"cluster":[150],"memberships":[151],"locational,":[153],"morphological,":[154],"transcriptomic":[156],"data.":[157],"Our":[158],"findings":[159],"reveal":[160],"potential":[162],"improve":[164],"responses":[168],"explicitly":[170],"allowing":[171],"shared":[173],"properties":[175],"across":[176],"neurons.":[177]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}