{"id":"https://openalex.org/W1986305832","doi":"https://doi.org/10.1109/icassp.2010.5495095","title":"Variational Bayesian inference for point process generalized linear models in neural spike trains analysis","display_name":"Variational Bayesian inference for point process generalized linear models in neural spike trains analysis","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1986305832","doi":"https://doi.org/10.1109/icassp.2010.5495095","mag":"1986305832"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/70598","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100457703","display_name":"Zhe Chen","orcid":"https://orcid.org/0000-0002-6483-6056"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Chen","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055249346","display_name":"Fabian Kloosterman","orcid":"https://orcid.org/0000-0001-6680-9660"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fabian Kloosterman","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594439","display_name":"Matthew A. Wilson","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew A. Wilson","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030321614","display_name":"Emery N. Brown","orcid":"https://orcid.org/0000-0003-2668-7819"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emery N. Brown","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA","Neuroscience Statistics Research Laboratory, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Neuroscience Statistics Research Laboratory, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1457,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77414164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"2086","last_page":"2089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9990000128746033,"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":0.9990000128746033,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9864000082015991,"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/T11830","display_name":"Point processes and geometric inequalities","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6269571781158447},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.5828499794006348},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5654313564300537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5541038513183594},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5475980043411255},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.500572919845581},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.480266809463501},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.4695998430252075},{"id":"https://openalex.org/keywords/bayesian-linear-regression","display_name":"Bayesian linear regression","score":0.45314085483551025},{"id":"https://openalex.org/keywords/conjugate-prior","display_name":"Conjugate prior","score":0.4290221333503723},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.42844006419181824},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.4271993041038513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42609095573425293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40670067071914673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26683688163757324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1837361752986908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269571781158447},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.5828499794006348},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5654313564300537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5541038513183594},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5475980043411255},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.500572919845581},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.480266809463501},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.4695998430252075},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.45314085483551025},{"id":"https://openalex.org/C26004113","wikidata":"https://www.wikidata.org/wiki/Q3711784","display_name":"Conjugate prior","level":4,"score":0.4290221333503723},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42844006419181824},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.4271993041038513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42609095573425293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40670067071914673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26683688163757324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1837361752986908},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2010.5495095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/70598","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/70598","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/70598","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/70598","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G665814089","display_name":null,"funder_award_id":"DP1-OD003646","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6658462467","display_name":null,"funder_award_id":"R01-DA015644","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8588956105","display_name":null,"funder_award_id":"DA015644","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1496451467","https://openalex.org/W1528905581","https://openalex.org/W1567512734","https://openalex.org/W1579851208","https://openalex.org/W1584127072","https://openalex.org/W1663973292","https://openalex.org/W1979967019","https://openalex.org/W1989879829","https://openalex.org/W2035983506","https://openalex.org/W2045656233","https://openalex.org/W2098620445","https://openalex.org/W2109843705","https://openalex.org/W2112246597","https://openalex.org/W2129983824","https://openalex.org/W2143143555","https://openalex.org/W2151297684","https://openalex.org/W2153181354","https://openalex.org/W2164021297","https://openalex.org/W2169183612","https://openalex.org/W2172053542","https://openalex.org/W2419060092","https://openalex.org/W2806384400","https://openalex.org/W4212863985","https://openalex.org/W4232383088","https://openalex.org/W4301861531","https://openalex.org/W6674745667","https://openalex.org/W6683992603","https://openalex.org/W6717396796"],"related_works":["https://openalex.org/W1768043922","https://openalex.org/W2171321819","https://openalex.org/W4297744796","https://openalex.org/W2511279186","https://openalex.org/W1498794143","https://openalex.org/W2059920575","https://openalex.org/W2183359726","https://openalex.org/W2086321337","https://openalex.org/W2541081067","https://openalex.org/W2397024933"],"abstract_inverted_index":{"Point":[0],"process":[1,68],"generalized":[2],"linear":[3],"models":[4],"(GLMs)":[5],"have":[6],"been":[7],"widely":[8],"used":[9],"for":[10,17,48,66],"neural":[11,71],"spike":[12,72],"trains":[13],"analysis.":[14,74],"Statistical":[15],"inference":[16,65],"GLMs":[18,69],"include":[19],"maximum":[20],"likelihood":[21],"and":[22,54,62,89,102],"Bayesian":[23,26,77],"estimation.":[24],"Variational":[25],"(VB)":[27],"methods":[28,92],"provide":[29],"a":[30],"computationally":[31],"appealing":[32],"means":[33],"to":[34,81],"infer":[35],"the":[36,49,83],"posterior":[37],"density":[38],"of":[39],"unknown":[40],"parameters,":[41],"in":[42,52,70,108],"which":[43],"conjugate":[44],"priors":[45],"are":[46],"designed":[47],"regression":[50],"coefficients":[51],"logistic":[53],"Poisson":[55],"regression.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"develop":[61],"apply":[63],"VB":[64],"point":[67],"train":[73],"The":[75],"hierarchical":[76],"framework":[78],"allows":[79],"us":[80],"tackle":[82],"variable":[84],"selection":[85],"problem.":[86],"We":[87],"assess":[88],"validate":[90],"our":[91],"with":[93],"ensemble":[94],"neuronal":[95],"recordings":[96],"from":[97],"rat's":[98],"hippocampal":[99],"place":[100],"cells":[101,105],"entorhinal":[103],"cortical":[104],"during":[106],"foraging":[107],"an":[109],"open":[110],"field":[111],"environment.":[112]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
