{"id":"https://openalex.org/W2979702240","doi":"https://doi.org/10.48550/arxiv.1910.05695","title":"Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method","display_name":"Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method","publication_year":2019,"publication_date":"2019-10-13","ids":{"openalex":"https://openalex.org/W2979702240","doi":"https://doi.org/10.48550/arxiv.1910.05695","mag":"2979702240"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1910.05695","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.05695","pdf_url":"https://arxiv.org/pdf/1910.05695","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":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.05695","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103871084","display_name":"Tian Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen, Tian","raw_affiliation_strings":["Department of Statistics UC Irvine , CA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics UC Irvine , CA , USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026745148","display_name":"Lingge Li","orcid":"https://orcid.org/0000-0002-0747-3711","observed_orcids":["https://orcid.org/0000-0002-0747-3711"]},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li, Lingge","raw_affiliation_strings":["Department of Statistics UC Irvine , CA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics UC Irvine , CA , USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015458359","display_name":"Gabriel A. Elias","orcid":"https://orcid.org/0000-0002-2339-7245","observed_orcids":["https://orcid.org/0000-0002-2339-7245"]},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elias, Gabriel","raw_affiliation_strings":["Department of Neurobiology and Behavior UC Irvine , CA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurobiology and Behavior UC Irvine , CA , USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088318957","display_name":"Norbert J. Fortin","orcid":"https://orcid.org/0000-0002-6793-6984","observed_orcids":["https://orcid.org/0000-0002-6793-6984"]},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fortin, Norbert","raw_affiliation_strings":["Department of Neurobiology and Behavior UC Irvine , CA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurobiology and Behavior UC Irvine , CA , USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007134352","display_name":"Babak Shahbaba","orcid":"https://orcid.org/0000-0002-8102-1609","observed_orcids":["https://orcid.org/0000-0002-8102-1609"]},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahbaba, Babak","raw_affiliation_strings":["Department of Statistics UC Irvine , CA , USA","University of California, Irvine **"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics UC Irvine , CA , USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"University of California, Irvine **","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10448","display_name":"Memory and Neural Mechanisms","score":0.6923999786376953,"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/T10448","display_name":"Memory and Neural Mechanisms","score":0.6923999786376953,"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/T10581","display_name":"Neural dynamics and brain function","score":0.07999999821186066,"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/T10320","display_name":"Neural Networks and Applications","score":0.055399999022483826,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neural-decoding","display_name":"neural decoding","score":0.9829999804496765},{"id":"https://openalex.org/keywords/latent-representation-learning","display_name":"latent representation learning","score":0.871999979019165},{"id":"https://openalex.org/keywords/variational-autoencoder","display_name":"variational autoencoder","score":0.9020000100135803},{"id":"https://openalex.org/keywords/determinantal-point-processes","display_name":"determinantal point processes","score":0.984000027179718},{"id":"https://openalex.org/keywords/temporal-organization-of-memory","display_name":"temporal organization of memory","score":0.8650000095367432},{"id":"https://openalex.org/keywords/odor-identification","display_name":"odor identification","score":0.7960000038146973}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7082935571670532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6602203249931335},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.5925136804580688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771692991256714},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5518324971199036},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4584990441799164},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4206309914588928},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4111729860305786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4088980555534363},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.32858502864837646},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17081263661384583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12930530309677124},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:arXiv.org:1910.05695","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.05695","pdf_url":"https://arxiv.org/pdf/1910.05695","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":null,"raw_type":"text"},{"id":"mag:2979702240","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1910.05695v1","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},{"id":"pmh:oai:escholarship.org/ark:/13030/qt60x2w0z4","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/60x2w0z4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt60x2w0z4","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/60x2w0z4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"doi:10.48550/arxiv.1910.05695","doi":"https://doi.org/10.48550/arxiv.1910.05695","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.05695","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.05695","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.05695","pdf_url":"https://arxiv.org/pdf/1910.05695","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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1657889736","display_name":"Theory and practice for exploiting the underlying structure of probability models in big data analysis","funder_award_id":"1622490","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2979702240.pdf","grobid_xml":"https://content.openalex.org/works/W2979702240.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W146100937","https://openalex.org/W167016754","https://openalex.org/W1820075673","https://openalex.org/W1959608418","https://openalex.org/W2000775105","https://openalex.org/W2063067007","https://openalex.org/W2087514146","https://openalex.org/W2090536661","https://openalex.org/W2111736228","https://openalex.org/W2112902525","https://openalex.org/W2115107366","https://openalex.org/W2118978333","https://openalex.org/W2123081263","https://openalex.org/W2126268407","https://openalex.org/W2138779671","https://openalex.org/W2141408773","https://openalex.org/W2163667253","https://openalex.org/W2256343763"],"related_works":["https://openalex.org/W4414563350","https://openalex.org/W7213416228","https://openalex.org/W4407776374","https://openalex.org/W7103255087","https://openalex.org/W2913954345","https://openalex.org/W4200421851","https://openalex.org/W4413571849","https://openalex.org/W3102745940","https://openalex.org/W2098314971","https://openalex.org/W7196933106"],"abstract_inverted_index":{"It":[0],"is":[1,7,19,97,103,111],"well":[2],"established":[3],"that":[4,12,117,182,204],"temporal":[5,48,70],"organization":[6,49,71],"critical":[8],"to":[9,15,21,112,158,174,198,208,218],"memory,":[10],"and":[11,25,69,193,216],"the":[13,33,36,63,82,121,134,167,195,230],"ability":[14,197],"temporally":[16],"organize":[17],"information":[18],"fundamental":[20],"many":[22],"perceptual,":[23],"cognitive,":[24],"motor":[26],"processes.":[27],"While":[28],"our":[29,44,140,172,205],"understanding":[30,45],"of":[31,39,46,66,72,84,104,124,133,187,229],"how":[32],"brain":[34],"processes":[35,156],"spatial":[37],"context":[38],"memories":[40],"has":[41],"advanced":[42],"considerably,":[43],"their":[47],"lags":[50],"far":[51],"behind.":[52],"In":[53,94],"this":[54,96],"paper,":[55],"we":[56,76],"propose":[57],"a":[58,98,114,129,143,149,178,190,225],"new":[59,115],"approach":[60,141],"for":[61,213],"elucidating":[62],"neural":[64,79,92,214],"basis":[65],"complex":[67],"behaviors":[68],"memories.":[73],"More":[74],"specifically,":[75],"focus":[77],"on":[78,90,153],"decoding":[80,135,215,231],"-":[81],"prediction":[83],"behavioral":[85],"or":[86],"experimental":[87],"conditions":[88],"based":[89,152],"observed":[91],"data.":[93],"general,":[95],"challenging":[99],"classification":[100],"problem,":[101],"which":[102],"immense":[105],"interest":[106],"in":[107,166],"neuroscience.":[108],"Our":[109],"goal":[110],"develop":[113],"framework":[116],"not":[118],"only":[119],"improves":[120],"overall":[122],"accuracy":[123,211],"decoding,":[125],"but":[126],"also":[127],"provides":[128],"clear":[130,226],"latent":[131,160,168,227],"representation":[132,161,228],"process.":[136,232],"To":[137],"accomplish":[138],"this,":[139],"uses":[142],"Variational":[144],"Auto-encoder":[145],"(VAE)":[146],"model":[147],"with":[148],"diversity-encouraging":[150],"prior":[151],"determinantal":[154],"point":[155],"(DPP)":[157],"improve":[159],"learning":[162],"by":[163,223],"avoiding":[164],"redundancy":[165],"space.":[169],"We":[170,202],"apply":[171],"method":[173,206],"data":[175],"collected":[176],"from":[177],"novel":[179,220],"rat":[180],"experiment":[181],"involves":[183],"presenting":[184],"repeated":[185],"sequences":[186],"odors":[188],"at":[189],"single":[191],"port":[192],"testing":[194],"rats'":[196],"identify":[199],"each":[200],"odor.":[201],"show":[203],"leads":[207],"substantially":[209],"higher":[210],"rate":[212],"allows":[217],"discover":[219],"biological":[221],"phenomena":[222],"providing":[224]},"counts_by_year":[],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2019-10-18T00:00:00"}
