{"id":"https://openalex.org/W4226147323","doi":"https://doi.org/10.1371/journal.pcbi.1009808","title":"Sparse connectivity for MAP inference in linear models using sister mitral cells","display_name":"Sparse connectivity for MAP inference in linear models using sister mitral cells","publication_year":2022,"publication_date":"2022-01-31","ids":{"openalex":"https://openalex.org/W4226147323","doi":"https://doi.org/10.1371/journal.pcbi.1009808","pmid":"https://pubmed.ncbi.nlm.nih.gov/35100264"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1009808","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009808","pdf_url":null,"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://doi.org/10.1371/journal.pcbi.1009808","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059171923","display_name":"Sina Tootoonian","orcid":"https://orcid.org/0000-0002-3990-8724"},"institutions":[{"id":"https://openalex.org/I2801081054","display_name":"The Francis Crick Institute","ror":"https://ror.org/04tnbqb63","country_code":"GB","type":"facility","lineage":["https://openalex.org/I2801081054"]},{"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"],"is_corresponding":true,"raw_author_name":"Sina Tootoonian","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom","Sensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-3990-8724","affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I4210115172","https://openalex.org/I45129253"]},{"raw_affiliation_string":"Sensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom","institution_ids":["https://openalex.org/I2801081054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016461176","display_name":"Andreas T. Schaefer","orcid":"https://orcid.org/0000-0002-4677-8788"},"institutions":[{"id":"https://openalex.org/I2801081054","display_name":"The Francis Crick Institute","ror":"https://ror.org/04tnbqb63","country_code":"GB","type":"facility","lineage":["https://openalex.org/I2801081054"]},{"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"],"is_corresponding":false,"raw_author_name":"Andreas T. Schaefer","raw_affiliation_strings":["Department of Neuroscience, Physiology & Pharmacology, University College London, London, UK","Sensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4677-8788","affiliations":[{"raw_affiliation_string":"Department of Neuroscience, Physiology & Pharmacology, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Sensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom","institution_ids":["https://openalex.org/I2801081054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025338734","display_name":"Peter E. Latham","orcid":"https://orcid.org/0000-0001-8713-9328"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Peter E. Latham","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-8713-9328","affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I4210115172","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059171923"],"corresponding_institution_ids":["https://openalex.org/I2801081054","https://openalex.org/I4210115172","https://openalex.org/I45129253"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.8848,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68347479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"1","first_page":"e1009808","last_page":"e1009808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9984999895095825,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7509824633598328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375752687454224},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5526420474052429},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.47597330808639526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45726829767227173},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4529629051685333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4492274522781372},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.364656925201416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22034260630607605},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2029445469379425},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08367425203323364}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7509824633598328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375752687454224},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5526420474052429},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.47597330808639526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45726829767227173},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4529629051685333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4492274522781372},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.364656925201416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22034260630607605},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2029445469379425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08367425203323364},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":"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":"D011984","descriptor_name":"Sensory Receptor Cells","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011984","descriptor_name":"Sensory Receptor Cells","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011984","descriptor_name":"Sensory Receptor Cells","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011984","descriptor_name":"Sensory Receptor Cells","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","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":4,"locations":[{"id":"doi:10.1371/journal.pcbi.1009808","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009808","pdf_url":null,"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:35100264","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35100264","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:doaj.org/article:673a2675b01944a0bbd8e32c6822f353","is_oa":true,"landing_page_url":"https://doaj.org/article/673a2675b01944a0bbd8e32c6822f353","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 18, Iss 1, p e1009808 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8830798","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8830798","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.1009808","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009808","pdf_url":null,"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/G635625102","display_name":null,"funder_award_id":"110174/Z/15/Z","funder_id":"https://openalex.org/F4320307874","funder_display_name":"Wellcome"},{"id":"https://openalex.org/G6405253707","display_name":null,"funder_award_id":"MR/T046090/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G6615835183","display_name":null,"funder_award_id":"110114/Z/15/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G6741985844","display_name":null,"funder_award_id":"FC001153","funder_id":"https://openalex.org/F4320312060","funder_display_name":"Francis Crick Institute"}],"funders":[{"id":"https://openalex.org/F4320307874","display_name":"Wellcome","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320312060","display_name":"Francis Crick Institute","ror":"https://ror.org/04tnbqb63"},{"id":"https://openalex.org/F4320320033","display_name":"Gatsby Charitable Foundation","ror":"https://ror.org/0290hax27"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W30994605","https://openalex.org/W575111682","https://openalex.org/W1512746852","https://openalex.org/W1885843324","https://openalex.org/W1967036516","https://openalex.org/W1969133910","https://openalex.org/W1983022541","https://openalex.org/W1993533483","https://openalex.org/W1998928595","https://openalex.org/W2012847533","https://openalex.org/W2017399882","https://openalex.org/W2019495693","https://openalex.org/W2037301662","https://openalex.org/W2041057250","https://openalex.org/W2060581589","https://openalex.org/W2061512758","https://openalex.org/W2061793455","https://openalex.org/W2069186336","https://openalex.org/W2073037073","https://openalex.org/W2091828531","https://openalex.org/W2093597508","https://openalex.org/W2094980562","https://openalex.org/W2097186487","https://openalex.org/W2122825543","https://openalex.org/W2145889472","https://openalex.org/W2147502381","https://openalex.org/W2148871843","https://openalex.org/W2189394982","https://openalex.org/W2262841875","https://openalex.org/W2290452516","https://openalex.org/W2519879473","https://openalex.org/W2559655401","https://openalex.org/W2559752379","https://openalex.org/W2783920042","https://openalex.org/W2837667817","https://openalex.org/W2947559446","https://openalex.org/W2953363663","https://openalex.org/W3046735025","https://openalex.org/W3158550782","https://openalex.org/W4250589301","https://openalex.org/W4297825594"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W2150865841","https://openalex.org/W2963673069","https://openalex.org/W2747493828","https://openalex.org/W2138865713","https://openalex.org/W2169353922"],"abstract_inverted_index":{"Sensory":[0],"processing":[1,26],"is":[2,27,59,114,127],"hard":[3],"because":[4,62],"the":[5,31,84,89,99,117,120],"variables":[6,45,54,68],"of":[7,24,67,119],"interest":[8],"are":[9,46,51],"encoded":[10,47],"in":[11,14,22,43,88],"spike":[12],"trains":[13],"a":[15,39,64,102],"relatively":[16],"complex":[17],"way.":[18],"A":[19],"major":[20],"goal":[21],"studies":[23],"sensory":[25],"to":[28,130,132,141,144],"understand":[29],"how":[30],"brain":[32],"extracts":[33],"those":[34],"variables.":[35],"Here":[36,91],"we":[37,92],"revisit":[38],"common":[40],"encoding":[41,146],"model":[42],"which":[44],"linearly.":[48],"Although":[49],"there":[50],"typically":[52],"more":[53],"than":[55],"neurons,":[56],"this":[57],"problem":[58],"still":[60],"solvable":[61],"only":[63],"small":[65],"number":[66],"appear":[69],"at":[70],"any":[71],"one":[72],"time":[73],"(sparse":[74],"prior).":[75],"However,":[76],"previous":[77],"solutions":[78],"require":[79],"all-to-all":[80],"connectivity,":[81],"inconsistent":[82],"with":[83],"sparse":[85,110],"connectivity":[86],"seen":[87],"brain.":[90],"propose":[93],"an":[94],"algorithm":[95,113],"that":[96],"provably":[97],"reaches":[98],"MAP":[100],"(maximum":[101],"posteriori)":[103],"inference":[104],"solution,":[105],"but":[106,124],"does":[107],"so":[108],"using":[109],"connectivity.":[111],"Our":[112],"inspired":[115],"by":[116],"circuit":[118],"mouse":[121],"olfactory":[122],"bulb,":[123],"our":[125],"approach":[126],"general":[128],"enough":[129],"apply":[131],"other":[133],"modalities.":[134],"In":[135],"addition,":[136],"it":[137,143],"should":[138],"be":[139],"possible":[140],"extend":[142],"nonlinear":[145],"models.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}