{"id":"https://openalex.org/W4389815030","doi":"https://doi.org/10.1162/neco_a_01630","title":"Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression","display_name":"Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4389815030","doi":"https://doi.org/10.1162/neco_a_01630","pmid":"https://pubmed.ncbi.nlm.nih.gov/38101329"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_01630","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01630","pdf_url":"https://direct.mit.edu/neco/article-pdf/36/2/175/2213761/neco_a_01630.pdf","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://direct.mit.edu/neco/article-pdf/36/2/175/2213761/neco_a_01630.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025878229","display_name":"C. Daniel Greenidge","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C. Daniel Greenidge","raw_affiliation_strings":["Princeton University, Princeton, NJ 08544, U.S.A. cdg4@alumni.princeton.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ 08544, U.S.A. cdg4@alumni.princeton.edu","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091174506","display_name":"Benjamin Scholl","orcid":"https://orcid.org/0000-0002-9578-7234"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benjamin Scholl","raw_affiliation_strings":["University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, U.S.A. scholl.ben@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, U.S.A. scholl.ben@gmail.com","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023677501","display_name":"Jacob L. Yates","orcid":"https://orcid.org/0000-0001-8322-5982"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jacob L. Yates","raw_affiliation_strings":["University of California, Berkeley, School of Optometry, Berkeley, CA 94720, U.S.A. yates@berkeley.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, School of Optometry, Berkeley, CA 94720, U.S.A. yates@berkeley.edu","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047908820","display_name":"Jonathan W. Pillow","orcid":"https://orcid.org/0000-0002-3638-8831"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jonathan W. Pillow","raw_affiliation_strings":["Princeton University, Princeton, NJ 08544, U.S.A. pillow@princeton.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ 08544, U.S.A. pillow@princeton.edu","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023677501","https://openalex.org/A5025878229","https://openalex.org/A5047908820","https://openalex.org/A5091174506"],"corresponding_institution_ids":["https://openalex.org/I20089843","https://openalex.org/I79576946","https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.1624,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51651673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"36","issue":"2","first_page":"175","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9706000089645386,"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"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9484999775886536,"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/scale","display_name":"Scale (ratio)","score":0.5901828408241272},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.56875079870224},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5430436134338379},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5312808752059937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48105812072753906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4666452705860138},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43901699781417847},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43641820549964905},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4289492666721344},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3766844868659973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36757194995880127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35050392150878906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.338512659072876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3210534453392029},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24047645926475525},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08811023831367493},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08482122421264648},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07930272817611694},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07316148281097412}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5901828408241272},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.56875079870224},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5430436134338379},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5312808752059937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48105812072753906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4666452705860138},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43901699781417847},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43641820549964905},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4289492666721344},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3766844868659973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36757194995880127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35050392150878906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.338512659072876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3210534453392029},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24047645926475525},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08811023831367493},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08482122421264648},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07930272817611694},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07316148281097412},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[{"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":"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":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"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":"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":"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},{"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":2,"locations":[{"id":"doi:10.1162/neco_a_01630","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01630","pdf_url":"https://direct.mit.edu/neco/article-pdf/36/2/175/2213761/neco_a_01630.pdf","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:38101329","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38101329","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":"Neural computation","raw_type":null}],"best_oa_location":{"id":"doi:10.1162/neco_a_01630","is_oa":true,"landing_page_url":"https://doi.org/10.1162/neco_a_01630","pdf_url":"https://direct.mit.edu/neco/article-pdf/36/2/175/2213761/neco_a_01630.pdf","source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4399999976158142,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1246026163","display_name":null,"funder_award_id":"5U19NS104648","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G1740709848","display_name":null,"funder_award_id":"RF1 DA056404","funder_id":"https://openalex.org/F4320337347","funder_display_name":"National Institute on Drug Abuse"},{"id":"https://openalex.org/G2247251154","display_name":null,"funder_award_id":"K99 EY032179","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"},{"id":"https://openalex.org/G2347883341","display_name":null,"funder_award_id":"R01 NS104899","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G2797878824","display_name":null,"funder_award_id":"NS104899","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4746842871","display_name":null,"funder_award_id":"R00 EY031137","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"},{"id":"https://openalex.org/G529523027","display_name":null,"funder_award_id":"U19 NS104648","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G530314039","display_name":null,"funder_award_id":"R01 EB026946","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G5778910730","display_name":null,"funder_award_id":"NS104899","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G5819578712","display_name":null,"funder_award_id":"K99 EY031137","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"}],"funders":[{"id":"https://openalex.org/F4320322434","display_name":"Max-Planck-Gesellschaft","ror":"https://ror.org/01hhn8329"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337347","display_name":"National Institute on Drug Abuse","ror":"https://ror.org/00fq5cm18"},{"id":"https://openalex.org/F4320337350","display_name":"National Eye Institute","ror":"https://ror.org/03wkg3b53"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389815030.pdf","grobid_xml":"https://content.openalex.org/works/W4389815030.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1567512734","https://openalex.org/W1572529519","https://openalex.org/W1601795611","https://openalex.org/W1885232817","https://openalex.org/W1895211609","https://openalex.org/W1951659264","https://openalex.org/W1964694219","https://openalex.org/W1974771473","https://openalex.org/W1983533291","https://openalex.org/W1984931175","https://openalex.org/W1998050452","https://openalex.org/W2001971840","https://openalex.org/W2004478098","https://openalex.org/W2005704307","https://openalex.org/W2030610956","https://openalex.org/W2035849979","https://openalex.org/W2060790588","https://openalex.org/W2067012111","https://openalex.org/W2069519142","https://openalex.org/W2071941483","https://openalex.org/W2090147401","https://openalex.org/W2093386234","https://openalex.org/W2101101880","https://openalex.org/W2104477723","https://openalex.org/W2105716221","https://openalex.org/W2106568175","https://openalex.org/W2117134185","https://openalex.org/W2121071682","https://openalex.org/W2122825543","https://openalex.org/W2133877521","https://openalex.org/W2137669462","https://openalex.org/W2144984120","https://openalex.org/W2152587044","https://openalex.org/W2157154487","https://openalex.org/W2157380881","https://openalex.org/W2163589983","https://openalex.org/W2164531428","https://openalex.org/W2166405697","https://openalex.org/W2170235125","https://openalex.org/W2170334989","https://openalex.org/W2193980824","https://openalex.org/W2225156818","https://openalex.org/W2276644383","https://openalex.org/W2323306929","https://openalex.org/W2476083935","https://openalex.org/W2541869304","https://openalex.org/W2559655401","https://openalex.org/W2765263360","https://openalex.org/W2766010712","https://openalex.org/W2911546748","https://openalex.org/W2950205567","https://openalex.org/W2951751183","https://openalex.org/W2963518130","https://openalex.org/W2989665809","https://openalex.org/W2990138404","https://openalex.org/W2995822978","https://openalex.org/W2999094619","https://openalex.org/W2999905431","https://openalex.org/W3125118632","https://openalex.org/W3126802906","https://openalex.org/W3144619878","https://openalex.org/W3154260601","https://openalex.org/W3155379073","https://openalex.org/W3185569005","https://openalex.org/W3203913098","https://openalex.org/W4211049957","https://openalex.org/W4283364078","https://openalex.org/W4294541781","https://openalex.org/W4294562888","https://openalex.org/W6658177323","https://openalex.org/W6677083946","https://openalex.org/W6679363307","https://openalex.org/W6684578138","https://openalex.org/W6685155065","https://openalex.org/W6687604877","https://openalex.org/W6752153402","https://openalex.org/W6781582589"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2017509870","https://openalex.org/W4220731478","https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W2115519811"],"abstract_inverted_index":{"Neural":[0],"decoding":[1,27,44,62,100,113,199],"methods":[2,28],"provide":[3,124],"a":[4,42,63,73,88,94,125],"powerful":[5],"tool":[6],"for":[7,75,129,197],"quantifying":[8],"the":[9,17,52,77,99,108,131,157,192],"information":[10],"content":[11],"of":[12,79,110,118,141,191],"neural":[13,23,82],"population":[14,69,83],"codes":[15],"and":[16,33,71,143,170,182],"limits":[18],"imposed":[19],"by":[20],"correlations":[21,80],"in":[22,81,147,165,200],"activity.":[24],"However,":[25],"standard":[26],"are":[29],"prone":[30],"to":[31,36,46,61,133,137,159],"overfitting":[32],"scale":[34],"poorly":[35],"high-dimensional":[37,68],"settings.":[38],"Here,":[39],"we":[40],"introduce":[41],"novel":[43],"method":[45,128],"overcome":[47],"these":[48],"limitations.":[49],"Our":[50,172],"approach,":[51],"gaussian":[53,95],"process":[54,96],"multiclass":[55],"decoder":[56,173],"(GPMD),":[57],"is":[58,87,195],"well":[59,145],"suited":[60],"continuous":[64],"low-dimensional":[65],"variable":[66],"from":[67,161],"activity":[70],"provides":[72],"platform":[74],"assessing":[76],"importance":[78],"codes.":[84],"The":[85,102],"GPMD":[86,132,158],"multinomial":[89],"logistic":[90],"regression":[91],"model":[92],"with":[93,150],"prior":[97,103],"over":[98],"weights.":[101],"includes":[104],"hyperparameters":[105],"that":[106,189],"govern":[107],"smoothness":[109],"each":[111],"neuron's":[112],"weights,":[114],"allowing":[115],"automatic":[116],"pruning":[117],"uninformative":[119],"neurons":[120,142,152],"during":[121],"inference.":[122],"We":[123,155],"variational":[126],"inference":[127],"fitting":[130],"data,":[134],"which":[135],"scales":[136],"hundreds":[138],"or":[139],"thousands":[140],"performs":[144],"even":[146],"data":[148,180],"sets":[149,181],"more":[151],"than":[153],"trials.":[154],"apply":[156],"recordings":[160],"primary":[162],"visual":[163],"cortex":[164],"three":[166,179,202],"species:":[167],"monkey,":[168],"ferret,":[169],"mouse.":[171],"achieves":[174],"state-of-the-art":[175],"accuracy":[176],"on":[177],"all":[178,201],"substantially":[183],"outperforms":[184],"independent":[185],"Bayesian":[186],"decoding,":[187],"showing":[188],"knowledge":[190],"correlation":[193],"structure":[194],"essential":[196],"optimal":[198],"species.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}