{"id":"https://openalex.org/W2036426301","doi":"https://doi.org/10.1371/journal.pcbi.1000379","title":"Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings","display_name":"Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings","publication_year":2009,"publication_date":"2009-05-07","ids":{"openalex":"https://openalex.org/W2036426301","doi":"https://doi.org/10.1371/journal.pcbi.1000379","mag":"2036426301","pmid":"https://pubmed.ncbi.nlm.nih.gov/19424506"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1000379","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000379","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000379&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.1000379&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069346030","display_name":"Quentin J. M. Huys","orcid":"https://orcid.org/0000-0002-8999-574X"},"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"]},{"id":"https://openalex.org/I4210115172","display_name":"Oxford Centre for Computational Neuroscience","ror":"https://ror.org/026ejyb70","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210115172"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Quentin J. M. Huys","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom. qhuys@cantab.net","Gatsby Computational Neuroscience Unit, University College London,\n                    London, United Kingdom","Center for Theoretical Neuroscience, Columbia University, New York, New\n                    York, United States of America"],"affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom. qhuys@cantab.net","institution_ids":["https://openalex.org/I4210115172","https://openalex.org/I45129253"]},{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, University College London,\n                    London, United Kingdom","institution_ids":["https://openalex.org/I4210115172","https://openalex.org/I45129253"]},{"raw_affiliation_string":"Center for Theoretical Neuroscience, Columbia University, New York, New\n                    York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023278055","display_name":"Liam Paninski","orcid":"https://orcid.org/0000-0002-0276-7032"},"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"]},{"id":"https://openalex.org/I3019243323","display_name":"Center for Theoretical Physics","ror":"https://ror.org/04kfyt897","country_code":"PL","type":"facility","lineage":["https://openalex.org/I3019243323","https://openalex.org/I99542240"]}],"countries":["PL","US"],"is_corresponding":false,"raw_author_name":"Liam Paninski","raw_affiliation_strings":["Center for Theoretical Neuroscience, Columbia University, New York, New","States of America","Statistics Department, Columbia University, New York, New York, United","York, United States of America","Statistics Department, Columbia University, New York, New York, United\n                    States of America","Center for Theoretical Neuroscience, Columbia University, New York, New\n                    York, United States of America"],"affiliations":[{"raw_affiliation_string":"Center for Theoretical Neuroscience, Columbia University, New York, New","institution_ids":["https://openalex.org/I3019243323"]},{"raw_affiliation_string":"States of America","institution_ids":[]},{"raw_affiliation_string":"Statistics Department, Columbia University, New York, New York, United","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"York, United States of America","institution_ids":[]},{"raw_affiliation_string":"Statistics Department, Columbia University, New York, New York, United\n                    States of America","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Center for Theoretical Neuroscience, Columbia University, New York, New\n                    York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069346030"],"corresponding_institution_ids":["https://openalex.org/I4210115172","https://openalex.org/I45129253","https://openalex.org/I78577930"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":3.0947,"has_fulltext":true,"cited_by_count":92,"citation_normalized_percentile":{"value":0.91296923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"5","issue":"5","first_page":"e1000379","last_page":"e1000379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9979000091552734,"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":0.9979000091552734,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.8669062852859497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415881156921387},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.6875150203704834},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6458437442779541},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6113225817680359},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4770638048648834},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4267960786819458},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.41418296098709106},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41141799092292786},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38749003410339355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38468796014785767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33974355459213257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1335703432559967},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08959841728210449},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06617578864097595}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.8669062852859497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415881156921387},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.6875150203704834},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6458437442779541},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6113225817680359},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4770638048648834},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4267960786819458},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.41418296098709106},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41141799092292786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38749003410339355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38468796014785767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33974355459213257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1335703432559967},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08959841728210449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06617578864097595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002468","descriptor_name":"Cell Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055592","descriptor_name":"Biophysical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055592","descriptor_name":"Biophysical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055592","descriptor_name":"Biophysical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055592","descriptor_name":"Biophysical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055724","descriptor_name":"Electrophysiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055724","descriptor_name":"Electrophysiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055724","descriptor_name":"Electrophysiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055724","descriptor_name":"Electrophysiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1000379","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000379","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000379&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:19424506","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19424506","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:RePEc:plo:pcbi00:1000379","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000379","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:4da3cc4461174f4091c19414d4a6b73b","is_oa":true,"landing_page_url":"https://doaj.org/article/4da3cc4461174f4091c19414d4a6b73b","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 5, Iss 5, p e1000379 (2009)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/147727","is_oa":true,"landing_page_url":"https://figshare.com/articles/media/Smoothing_of_and_Parameter_Estimation_from_Noisy_Biophysical___Recordings/147727","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"Dataset"},{"id":"pmh:oai:pubmedcentral.nih.gov:2676511","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2676511","pdf_url":null,"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":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1000379","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000379","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000379&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":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2036426301.pdf","grobid_xml":"https://content.openalex.org/works/W2036426301.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W345956458","https://openalex.org/W1486735428","https://openalex.org/W1512746852","https://openalex.org/W1566600575","https://openalex.org/W1581808154","https://openalex.org/W1607198972","https://openalex.org/W1648330109","https://openalex.org/W1670531616","https://openalex.org/W1688852951","https://openalex.org/W1820338024","https://openalex.org/W1836848727","https://openalex.org/W1974765629","https://openalex.org/W1985940938","https://openalex.org/W1986278194","https://openalex.org/W1988697288","https://openalex.org/W1991308594","https://openalex.org/W2000509838","https://openalex.org/W2002927789","https://openalex.org/W2003035294","https://openalex.org/W2008122476","https://openalex.org/W2008570888","https://openalex.org/W2015091456","https://openalex.org/W2020934227","https://openalex.org/W2020978754","https://openalex.org/W2027099938","https://openalex.org/W2038119517","https://openalex.org/W2046278043","https://openalex.org/W2046388561","https://openalex.org/W2048349186","https://openalex.org/W2049633694","https://openalex.org/W2057841956","https://openalex.org/W2059715474","https://openalex.org/W2064570276","https://openalex.org/W2065540158","https://openalex.org/W2069739265","https://openalex.org/W2071415508","https://openalex.org/W2089657469","https://openalex.org/W2099544223","https://openalex.org/W2100260601","https://openalex.org/W2108094133","https://openalex.org/W2113257799","https://openalex.org/W2114744526","https://openalex.org/W2118760499","https://openalex.org/W2126736494","https://openalex.org/W2130363011","https://openalex.org/W2135881163","https://openalex.org/W2141221350","https://openalex.org/W2147269409","https://openalex.org/W2148828144","https://openalex.org/W2155042384","https://openalex.org/W2159367480","https://openalex.org/W2160988512","https://openalex.org/W2168267501","https://openalex.org/W2169347074","https://openalex.org/W2183158388","https://openalex.org/W2262841875","https://openalex.org/W2911607583","https://openalex.org/W2951896087","https://openalex.org/W3120055268","https://openalex.org/W3140968660","https://openalex.org/W4231057675","https://openalex.org/W4238614602","https://openalex.org/W4285719527","https://openalex.org/W6628971379","https://openalex.org/W6662125123","https://openalex.org/W6668080254","https://openalex.org/W6681975374","https://openalex.org/W7048060829"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W2063855320","https://openalex.org/W2040641410","https://openalex.org/W1887269127","https://openalex.org/W2131704485","https://openalex.org/W2593688499","https://openalex.org/W2101377286","https://openalex.org/W1965041029","https://openalex.org/W2113749687"],"abstract_inverted_index":{"Biophysically":[0,115],"detailed":[1,48,81,119],"models":[2,49,120],"of":[3,66,84,93,103,118,153,160,166],"single":[4],"cells":[5],"are":[6,40,50,87,109,132],"difficult":[7],"to":[8,10,21,31,45,53,61],"fit":[9],"real":[11],"data.":[12,96],"Recent":[13],"advances":[14],"in":[15,77,111,163],"imaging":[16],"techniques":[17,60],"allow":[18],"simultaneous":[19],"access":[20],"various":[22],"intracellular":[23],"variables,":[24],"and":[25,42,129,157],"these":[26],"data":[27,137,156],"can":[28],"be":[29],"used":[30,88],"significantly":[32],"facilitate":[33],"the":[34,63,67,106,164],"modelling":[35],"task.":[36],"These":[37],"data,":[38],"however,":[39],"noisy,":[41],"current":[43],"approaches":[44],"building":[46],"biophysically":[47],"not":[51],"designed":[52],"deal":[54],"with":[55,79],"this.":[56],"We":[57,97],"extend":[58],"previous":[59],"take":[62],"noisy":[64,94,136,154],"nature":[65],"measurements":[68],"into":[69],"account.":[70],"Sequential":[71],"Monte":[72],"Carlo":[73],"(\"particle":[74],"filtering\")":[75],"methods,":[76],"combination":[78],"a":[80,85,112,147],"biophysical":[82,155,161],"description":[83],"cell,":[86],"for":[89,151,158],"principled,":[90],"model-based":[91,144],"smoothing":[92,104,145,152],"recording":[95,167],"also":[98],"provide":[99],"an":[100],"alternative":[101],"formulation":[102],"where":[105],"neural":[107],"nonlinearities":[108],"estimated":[110],"non-parametric":[113],"manner.":[114],"important":[116],"parameters":[117,162],"(such":[121],"as":[122],"channel":[123],"densities,":[124],"intercompartmental":[125],"conductances,":[126],"input":[127],"resistances,":[128],"observation":[130],"noise)":[131],"inferred":[133],"automatically":[134],"from":[135],"via":[138],"expectation-maximization.":[139],"Overall,":[140],"we":[141],"find":[142],"that":[143],"is":[146],"powerful,":[148],"robust":[149],"technique":[150],"inference":[159],"face":[165],"noise.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}