{"id":"https://openalex.org/W2207308817","doi":null,"title":"Nonlinear Filtering with Population Codes.","display_name":"Nonlinear Filtering with Population Codes.","publication_year":2015,"publication_date":"2015-12-22","ids":{"openalex":"https://openalex.org/W2207308817","mag":"2207308817"},"language":"en","primary_location":{"id":"mag:2207308817","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1512.07839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1512.07839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063351089","display_name":"Sacha Sokoloski","orcid":"https://orcid.org/0000-0003-4166-1772","observed_orcids":["https://orcid.org/0000-0003-4166-1772"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sacha Sokoloski","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4166-1772","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5063351089"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.7621999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.7621999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.11990000307559967,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.057999998331069946,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/nonlinear-filtering","display_name":"nonlinear filtering","score":0.9959999918937683},{"id":"https://openalex.org/keywords/population-coding","display_name":"population coding","score":0.9769999980926514},{"id":"https://openalex.org/keywords/latent-dynamics","display_name":"latent dynamics","score":0.5479999780654907},{"id":"https://openalex.org/keywords/belief-updating","display_name":"belief updating","score":0.7559999823570251},{"id":"https://openalex.org/keywords/probabilistic-graphical-models","display_name":"probabilistic graphical models","score":0.890999972820282},{"id":"https://openalex.org/keywords/harmonium","display_name":"harmonium","score":0.8550000190734863},{"id":"https://openalex.org/keywords/contrastive-divergence","display_name":"contrastive divergence","score":0.8799999952316284},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.8289999961853027},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"belief propagation","score":0.31200000643730164}],"concepts":[{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.7790671586990356},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.7032219767570496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5227277874946594},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5194218158721924},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5065370798110962},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5059358477592468},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4907871186733246},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4802130162715912},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.4492737054824829},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.43337225914001465},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.42992204427719116},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4142833948135376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38460421562194824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36322569847106934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34173762798309326},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3353918790817261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2576078176498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23970648646354675},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08378016948699951},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2207308817","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1512.07839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2207308817","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1512.07839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1482458494","https://openalex.org/W1490667783","https://openalex.org/W1520121841","https://openalex.org/W1572529519","https://openalex.org/W1986462127","https://openalex.org/W2013752524","https://openalex.org/W2072128103","https://openalex.org/W2081055745","https://openalex.org/W2083913562","https://openalex.org/W2100259206","https://openalex.org/W2156740722","https://openalex.org/W2163738067","https://openalex.org/W3100014800"],"related_works":["https://openalex.org/W4246517568","https://openalex.org/W325278318","https://openalex.org/W7100892118","https://openalex.org/W2137218177","https://openalex.org/W2094060968","https://openalex.org/W2612308159","https://openalex.org/W7097929175","https://openalex.org/W2618951154","https://openalex.org/W4415179807","https://openalex.org/W7101013763"],"abstract_inverted_index":{"In":[0,39],"this":[1,43,127],"paper":[2],"we":[3,45,107],"develop":[4],"a":[5,24,47,59,70,104,130,135],"method":[6,20,93],"for":[7],"the":[8,32,35,52,63,67,81,88,92,100,110,124],"nonlinear":[9],"filtering":[10,131],"of":[11,34,51,62,69,83,94,126],"dynamic":[12],"population":[13],"codes":[14],"with":[15,118],"unknown":[16],"latent":[17],"dynamics.":[18],"This":[19,75],"is":[21],"based":[22,133],"on":[23,129,134],"parameterized":[25,89,101],"function":[26,102],"which":[27],"updates":[28],"beliefs":[29],"while":[30],"keeping":[31],"dimension":[33],"belief":[36],"space":[37],"constant.":[38],"order":[40],"to":[41,79],"optimize":[42,87],"function,":[44,90],"construct":[46],"graphical":[48,64],"model":[49,65],"representation":[50],"belief-latent":[53],"state":[54],"dynamics,":[55],"and":[56,85],"show":[57,108],"that":[58],"certain":[60],"marginalization":[61,76],"has":[66],"form":[68],"conditional":[71],"exponential":[72],"family":[73],"harmonium.":[74],"allows":[77],"us":[78],"maximize":[80],"likelihood":[82],"observations,":[84],"thereby":[86],"by":[91,122],"contrastive":[95,112],"divergence":[96,113],"minimization.":[97],"By":[98],"defining":[99],"as":[103],"multilayer":[105],"perceptron,":[106],"how":[109],"stochastic":[111,136],"gradient":[114],"may":[115],"be":[116],"computed":[117],"backpropagation.":[119],"We":[120],"conclude":[121],"demonstrating":[123],"effectiveness":[125],"approach":[128],"problem":[132],"pendulum.":[137]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2016-06-24T00:00:00"}
