{"id":"https://openalex.org/W1992282632","doi":"https://doi.org/10.1109/isbi.2014.6867798","title":"Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model","display_name":"Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W1992282632","doi":"https://doi.org/10.1109/isbi.2014.6867798","mag":"1992282632"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6867798","is_oa":false,"landing_page_url":"http://doi.org/10.1109/isbi.2014.6867798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/isbi.2014.6867798","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016645765","display_name":"Zhichao Lian","orcid":"https://orcid.org/0000-0002-6643-8975"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhichao Lian","raw_affiliation_strings":["Department of Statistics, Yale University, New Haven, CT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Yale University, New Haven, CT","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331094","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-9851-6376"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, GA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071463104","display_name":"Hongmiao Zhang","orcid":"https://orcid.org/0000-0003-2073-7125"},"institutions":[{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]},{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]},{"id":"https://openalex.org/I4210167218","display_name":"Georgia Regents Medical Center","ror":"https://ror.org/01gtybw70","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210167218"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongmiao Zhang","raw_affiliation_strings":["Brain and Behavior Discovery Institute, Georgia Regents University, Augusta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain and Behavior Discovery Institute, Georgia Regents University, Augusta, GA","institution_ids":["https://openalex.org/I4210167218","https://openalex.org/I25041050","https://openalex.org/I2799424032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070902971","display_name":"Hui Kuang","orcid":"https://orcid.org/0009-0005-9974-4724"},"institutions":[{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]},{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]},{"id":"https://openalex.org/I4210167218","display_name":"Georgia Regents Medical Center","ror":"https://ror.org/01gtybw70","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210167218"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Kuang","raw_affiliation_strings":["Brain and Behavior Discovery Institute, Georgia Regents University, Augusta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain and Behavior Discovery Institute, Georgia Regents University, Augusta, GA","institution_ids":["https://openalex.org/I4210167218","https://openalex.org/I25041050","https://openalex.org/I2799424032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051933409","display_name":"Kun Xie","orcid":"https://orcid.org/0000-0002-8191-2786"},"institutions":[{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]},{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]},{"id":"https://openalex.org/I4210167218","display_name":"Georgia Regents Medical Center","ror":"https://ror.org/01gtybw70","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210167218"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Xie","raw_affiliation_strings":["Brain and Behavior Discovery Institute, Georgia Regents University, Augusta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain and Behavior Discovery Institute, Georgia Regents University, Augusta, GA","institution_ids":["https://openalex.org/I4210167218","https://openalex.org/I25041050","https://openalex.org/I2799424032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109209031","display_name":"Jianchuan Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jianchuan Xing","raw_affiliation_strings":["Department of Statistics, Yale University, New Haven, CT","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Yale University, New Haven, CT","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038582366","display_name":"Dajiang Zhu","orcid":"https://orcid.org/0000-0002-6940-3911"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dajiang Zhu","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, GA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112390787","display_name":"Joe Z. Tsien","orcid":null},"institutions":[{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]},{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]},{"id":"https://openalex.org/I4210167218","display_name":"Georgia Regents Medical Center","ror":"https://ror.org/01gtybw70","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210167218"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joe Z. Tsien","raw_affiliation_strings":["Brain and Behavior Discovery Institute, Georgia Regents University, Augusta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain and Behavior Discovery Institute, Georgia Regents University, Augusta, GA","institution_ids":["https://openalex.org/I4210167218","https://openalex.org/I25041050","https://openalex.org/I2799424032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647156","display_name":"Tianming Liu","orcid":"https://orcid.org/0000-0002-8132-9048"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianming Liu","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, GA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642812","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-0384-8712"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Department of Statistics, Yale University, New Haven, CT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Yale University, New Haven, CT","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6317,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66857438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"261","issue":null,"first_page":"17","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"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":0.9994999766349792,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7235197424888611},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6052723526954651},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5667202472686768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.540201723575592},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5001933574676514},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4959133565425873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4251525402069092},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.421925812959671},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42012834548950195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41411587595939636},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4103242754936218},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2999221682548523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12791013717651367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235197424888611},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6052723526954651},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5667202472686768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.540201723575592},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5001933574676514},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4959133565425873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4251525402069092},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.421925812959671},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42012834548950195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41411587595939636},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4103242754936218},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2999221682548523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12791013717651367},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2014.6867798","is_oa":false,"landing_page_url":"http://doi.org/10.1109/isbi.2014.6867798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1273978","is_oa":true,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867798","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1273978","is_oa":true,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867798","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W87366574","https://openalex.org/W1487431580","https://openalex.org/W1510291085","https://openalex.org/W1969769253","https://openalex.org/W2003779589","https://openalex.org/W2007495909","https://openalex.org/W2014642981","https://openalex.org/W2041132155","https://openalex.org/W2048282940","https://openalex.org/W2060077622","https://openalex.org/W2089190970","https://openalex.org/W2089657469","https://openalex.org/W2101324110","https://openalex.org/W2113264508","https://openalex.org/W2325334266","https://openalex.org/W2477480759","https://openalex.org/W6629119668","https://openalex.org/W6630601324","https://openalex.org/W6675134712"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W2585791450","https://openalex.org/W3015855446","https://openalex.org/W4303857162","https://openalex.org/W2965643117","https://openalex.org/W4288266653","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2],"proposed":[3,22],"the":[4,35,45,70,94,110,128,139],"theory":[5],"of":[6,58,98,141,145],"functional":[7,76,129],"network-level":[8],"neural":[9,59],"cell":[10,99],"assemblies":[11,100],"and":[12],"their":[13],"hierarchical":[14,142],"organization":[15,143],"architecture.":[16],"In":[17],"this":[18],"study,":[19],"we":[20],"first":[21],"a":[23,64],"novel":[24],"Bayesian":[25,65],"binary":[26,36],"connectivity":[27],"change":[28],"point":[29],"model":[30],"to":[31,53,73,92,138],"be":[32],"applied":[33,63],"on":[34,69],"spiking":[37],"time":[38],"series":[39],"recorded":[40],"from":[41,113],"multiple":[42,75],"neurons":[43,125],"in":[44,127],"mouse":[46],"hippocampus":[47],"during":[48],"three":[49,114],"different":[50,132],"emotional":[51],"events,":[52,116,133],"find":[54,74],"stable":[55],"temporal":[56],"segments":[57],"activity.":[60],"We":[61],"then":[62],"graph":[66],"inference":[67],"algorithm":[68],"segmentation":[71],"results":[72],"interaction":[77,84],"patterns":[78,85],"underlying":[79],"each":[80],"experience.":[81],"The":[82],"resulting":[83,111],"were":[86],"analyzed":[87],"by":[88],"multi-view":[89],"co-training":[90],"method":[91],"identify":[93],"common":[95,124],"sub-network":[96],"structure":[97],"which":[101],"are":[102],"strongly":[103],"connected":[104],"i.e.":[105],"\"neural":[106],"cliques\".":[107],"By":[108],"analyzing":[109],"sub-networks":[112],"memory-producing":[115],"it":[117],"is":[118],"found":[119],"that":[120],"there":[121],"exist":[122],"certain":[123],"participating":[126],"interactions":[130],"across":[131],"lending":[134],"strong":[135],"support":[136],"evidence":[137],"hypothesis":[140],"architecture":[144],"neuronal":[146],"assemblies.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}