{"id":"https://openalex.org/W2533827380","doi":"https://doi.org/10.1109/embc.2016.7590860","title":"Scoring sequences of hippocampal activity using hidden Markov models","display_name":"Scoring sequences of hippocampal activity using hidden Markov models","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2533827380","doi":"https://doi.org/10.1109/embc.2016.7590860","mag":"2533827380","pmid":"https://pubmed.ncbi.nlm.nih.gov/28268482"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7590860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076014660","display_name":"Etienne Ackermann","orcid":"https://orcid.org/0000-0001-7139-9360"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Etienne Ackermann","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026103491","display_name":"Caleb Kemere","orcid":"https://orcid.org/0000-0003-2054-0234"},"institutions":[{"id":"https://openalex.org/I181547552","display_name":"Baylor College of Medicine","ror":"https://ror.org/02pttbw34","country_code":"US","type":"education","lineage":["https://openalex.org/I181547552","https://openalex.org/I2801539370"]},{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caleb Kemere","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX","Department of Neuroscience, Baylor College of Medicine, Houston, TX"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Department of Neuroscience, Baylor College of Medicine, Houston, TX","institution_ids":["https://openalex.org/I181547552"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076014660"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":0.1625,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55736281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"957","last_page":"960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10448","display_name":"Memory and Neural Mechanisms","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9916999936103821,"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/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.9901000261306763,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.85381680727005},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.7451345920562744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6534178256988525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6483848094940186},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5368810892105103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5264645218849182},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5009400844573975},{"id":"https://openalex.org/keywords/hippocampal-formation","display_name":"Hippocampal formation","score":0.4870012402534485},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.42480459809303284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38055819272994995},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.3042322099208832},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1313779056072235},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07345682382583618}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.85381680727005},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7451345920562744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6534178256988525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483848094940186},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5368810892105103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5264645218849182},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5009400844573975},{"id":"https://openalex.org/C148762608","wikidata":"https://www.wikidata.org/wiki/Q3748185","display_name":"Hippocampal formation","level":2,"score":0.4870012402534485},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.42480459809303284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38055819272994995},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.3042322099208832},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1313779056072235},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07345682382583618},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2016.7590860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28268482","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28268482","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2001257668","https://openalex.org/W2002978960","https://openalex.org/W2052515926","https://openalex.org/W2075688963","https://openalex.org/W2079161053","https://openalex.org/W2125838338","https://openalex.org/W2149627849","https://openalex.org/W2168101731","https://openalex.org/W2265785955","https://openalex.org/W2334126544"],"related_works":["https://openalex.org/W2379938888","https://openalex.org/W2382132287","https://openalex.org/W2130519334","https://openalex.org/W2134386692","https://openalex.org/W2116722627","https://openalex.org/W1977445474","https://openalex.org/W1510894296","https://openalex.org/W2799426416","https://openalex.org/W2194396582","https://openalex.org/W2566202039"],"abstract_inverted_index":{"We":[0,86],"propose":[1],"a":[2,72],"novel":[3],"sequence":[4,59,63,75],"score":[5,76,91],"to":[6,8,42,68],"determine":[7],"what":[9],"extent":[10],"neural":[11,48,101],"activity":[12],"is":[13],"consistent":[14],"with":[15],"trajectories":[16],"through":[17],"latent":[18],"ensemble":[19],"states":[20,65],"-":[21,25],"virtual":[22],"place":[23],"fields":[24],"in":[26,77],"an":[27,57,61],"associated":[28],"environment.":[29],"In":[30],"particular,":[31],"we":[32],"show":[33,88],"how":[34,51,89],"hidden":[35],"Markov":[36],"models":[37],"(HMMs)":[38],"can":[39,92],"be":[40],"used":[41],"model":[43],"and":[44,50,60,81,96],"analyze":[45],"sequences":[46,98],"of":[47,56,64,71,99],"activity,":[49],"the":[52,69,79],"resulting":[53],"joint":[54],"probability":[55],"observation":[58],"underlying":[62],"naturally":[66],"lead":[67],"development":[70],"two":[73],"component":[74],"which":[78],"sequential":[80],"contextual":[82],"information":[83],"are":[84],"decoupled.":[85],"also":[87],"this":[90],"discriminate":[93],"between":[94],"true":[95],"shuffled":[97],"hippocampal":[100],"activity.":[102]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}