{"id":"https://openalex.org/W4412699558","doi":"https://doi.org/10.7554/elife.94723.2.sa0","title":"Author response: High frequency spike inference with particle Gibbs sampling","display_name":"Author response: High frequency spike inference with particle Gibbs sampling","publication_year":2025,"publication_date":"2025-07-28","ids":{"openalex":"https://openalex.org/W4412699558","doi":"https://doi.org/10.7554/elife.94723.2.sa0"},"language":"en","primary_location":{"id":"doi:10.7554/elife.94723.2.sa0","doi":"https://doi.org/10.7554/elife.94723.2.sa0","is_oa":true,"landing_page_url":"https://doi.org/10.7554/elife.94723.2.sa0","pdf_url":null,"source":{"id":"https://openalex.org/S1336409049","display_name":"eLife","issn_l":"2050-084X","issn":["2050-084X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-a","jufo-2","ki-jl-2","medline","norway-2","oarl","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311710","host_organization_name":"eLife Sciences Publications Ltd","host_organization_lineage":["https://openalex.org/P4310311710"],"host_organization_lineage_names":["eLife Sciences Publications Ltd"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"peer-review"},"volume":null,"type":"peer-review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.7554/elife.94723.2.sa0","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010027094","display_name":"Giovanni Diana","orcid":"https://orcid.org/0000-0001-7497-5271","observed_orcids":["https://orcid.org/0000-0001-7497-5271"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giovanni Diana","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7497-5271","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003674798","display_name":"B. Semihcan Sermet","orcid":"https://orcid.org/0000-0002-9983-3605","observed_orcids":["https://orcid.org/0000-0002-9983-3605"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B Semihcan Sermet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009751100","display_name":"Gerard Joey Broussard","orcid":"https://orcid.org/0000-0003-1636-2615","observed_orcids":["https://orcid.org/0000-0003-1636-2615"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerard J Broussard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032752482","display_name":"Samuel S.\u2010H. Wang","orcid":"https://orcid.org/0000-0002-0490-9786","observed_orcids":["https://orcid.org/0000-0002-0490-9786"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel S.-H Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046367950","display_name":"David A. DiGregorio","orcid":"https://orcid.org/0000-0002-6417-4566","observed_orcids":["https://orcid.org/0000-0002-6417-4566"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David A DiGregorio","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6417-4566","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3000,"currency":"USD","value_usd":2500},"apc_paid":{"value":3000,"currency":"USD","value_usd":2500},"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/T10581","display_name":"Neural dynamics and brain function","score":0.6542999744415283,"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":0.6542999744415283,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.03610000014305115,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.029400000348687172,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-gibbs","display_name":"particle Gibbs","score":0.7590000033378601},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.8330000042915344},{"id":"https://openalex.org/keywords/model-parameter-estimation","display_name":"model parameter estimation","score":0.7739999890327454}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7308220863342285},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6760246753692627},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.6334323883056641},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4411256015300751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3942260146141052},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38419193029403687},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3751380443572998},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.36206889152526855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3467458486557007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32017913460731506},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15646615624427795},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1477464735507965},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.07712441682815552},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.054275572299957275},{"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:10.7554/elife.94723.2.sa0","doi":"https://doi.org/10.7554/elife.94723.2.sa0","is_oa":true,"landing_page_url":"https://doi.org/10.7554/elife.94723.2.sa0","pdf_url":null,"source":{"id":"https://openalex.org/S1336409049","display_name":"eLife","issn_l":"2050-084X","issn":["2050-084X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-a","jufo-2","ki-jl-2","medline","norway-2","oarl","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311710","host_organization_name":"eLife Sciences Publications Ltd","host_organization_lineage":["https://openalex.org/P4310311710"],"host_organization_lineage_names":["eLife Sciences Publications Ltd"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"peer-review"},{"id":"doi:10.7554/elife.94723.4.sa3","doi":"https://doi.org/10.7554/elife.94723.4.sa3","is_oa":true,"landing_page_url":"https://doi.org/10.7554/elife.94723.4.sa3","pdf_url":"https://elifesciences.org/download/aHR0cHM6Ly9jZG4uZWxpZmVzY2llbmNlcy5vcmcvYXJ0aWNsZXMvOTQ3MjMvZWxpZmUtOTQ3MjMtdjEucGRmP2Nhbm9uaWNhbFVyaT1odHRwczovL2VsaWZlc2NpZW5jZXMub3JnL2FydGljbGVzLzk0NzIz/elife-94723-v1.pdf?_hash=NV%2BgxqaaD%2FYiIvYYoFD3jv407TlJCVmqsfK3wKsRMHE%3D","source":{"id":"https://openalex.org/S1336409049","display_name":"eLife","issn_l":"2050-084X","issn":["2050-084X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-a","jufo-2","ki-jl-2","medline","norway-2","oarl","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311710","host_organization_name":"eLife Sciences Publications Ltd","host_organization_lineage":["https://openalex.org/P4310311710"],"host_organization_lineage_names":["eLife Sciences Publications Ltd"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"peer-review"}],"best_oa_location":{"id":"doi:10.7554/elife.94723.2.sa0","doi":"https://doi.org/10.7554/elife.94723.2.sa0","is_oa":true,"landing_page_url":"https://doi.org/10.7554/elife.94723.2.sa0","pdf_url":null,"source":{"id":"https://openalex.org/S1336409049","display_name":"eLife","issn_l":"2050-084X","issn":["2050-084X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-a","jufo-2","ki-jl-2","medline","norway-2","oarl","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311710","host_organization_name":"eLife Sciences Publications Ltd","host_organization_lineage":["https://openalex.org/P4310311710"],"host_organization_lineage_names":["eLife Sciences Publications Ltd"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"peer-review"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5968656425","display_name":"Statistical Inference of the Cerebellar Network","funder_award_id":"896051","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7138896503","https://openalex.org/W2952342710","https://openalex.org/W4409751354","https://openalex.org/W2791018428","https://openalex.org/W6939392677","https://openalex.org/W2279259774","https://openalex.org/W3202995219","https://openalex.org/W6976692862","https://openalex.org/W7099006502","https://openalex.org/W7203751599"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"a":[3,8,30],"valuable":[4],"contribution":[5],"by":[6],"introducing":[7],"model-based,":[9],"Bayesian":[10],"method":[11,38],"for":[12,80],"inferring":[13],"action":[14],"potentials":[15],"from":[16],"calcium":[17],"imaging":[18],"data":[19],"that":[20],"directly":[21],"quantifies":[22],"uncertainty":[23,56],"in":[24],"spike":[25],"timing":[26],"through":[27],"posterior":[28],"distributions.Using":[29],"Monte":[31],"Carlo":[32],"particle":[33],"Gibbs":[34],"sampling":[35],"approach,":[36],"the":[37,50,65],"achieves":[39],"temporal":[40],"resolution":[41],"and":[42,60,64],"accuracy":[43],"comparable":[44],"to":[45,72],"existing":[46],"techniques":[47],"while":[48],"offering":[49],"key":[51],"added":[52],"benefit":[53],"of":[54,69],"principled":[55],"estimates.The":[57],"underlying":[58],"methodology":[59],"characterization":[61],"are":[62],"convincing,":[63],"work":[66],"will":[67],"be":[68],"particular":[70],"interest":[71],"theoretically":[73],"oriented":[74],"neuroscientists":[75],"seeking":[76],"rigorous":[77],"new":[78],"tools":[79],"data-driven":[81],"parameter":[82],"inference.":[83]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2025-10-10T00:00:00"}