{"id":"https://openalex.org/W2051347361","doi":"https://doi.org/10.1109/embc.2013.6609920","title":"Estimation of templates and timings of spikes in extracellular voltage signals containing overlaps of the arbitrary number of spikes","display_name":"Estimation of templates and timings of spikes in extracellular voltage signals containing overlaps of the arbitrary number of spikes","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2051347361","doi":"https://doi.org/10.1109/embc.2013.6609920","mag":"2051347361","pmid":"https://pubmed.ncbi.nlm.nih.gov/24110107"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6609920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th 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/A5006335559","display_name":"Tatsuya Haga","orcid":"https://orcid.org/0000-0003-3145-709X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tatsuya Haga","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Bunkyo-Ku, Japan","Grad School of Information Sci. and Tech., Univ of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Bunkyo-Ku, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Grad School of Information Sci. and Tech., Univ of Tokyo, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033654965","display_name":"Yuzo Takayama","orcid":"https://orcid.org/0000-0002-6382-8767"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuzo Takayama","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Bunkyo-Ku, Japan","Grad School of Information Sci. and Tech., Univ of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Bunkyo-Ku, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Grad School of Information Sci. and Tech., Univ of Tokyo, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109140265","display_name":"Kunihiko Mabuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunihiko Mabuchi","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Bunkyo-Ku, Japan","Grad School of Information Sci. and Tech., Univ of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Bunkyo-Ku, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Grad School of Information Sci. and Tech., Univ of Tokyo, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006335559"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.152,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51725747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"1992","last_page":"1995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9997000098228455,"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":0.9997000098228455,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spike-sorting","display_name":"Spike sorting","score":0.8866375684738159},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.7211532592773438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6646580696105957},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5966929793357849},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5654355883598328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5497164130210876},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5084146857261658},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49136391282081604},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4833545386791229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47394704818725586},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.4625963270664215},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.44698381423950195},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4427035450935364},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4416022300720215},{"id":"https://openalex.org/keywords/statistical-signal-processing","display_name":"Statistical signal processing","score":0.44067540764808655},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.4251842498779297},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.38248151540756226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14345782995224}],"concepts":[{"id":"https://openalex.org/C2777613131","wikidata":"https://www.wikidata.org/wiki/Q2003571","display_name":"Spike sorting","level":3,"score":0.8866375684738159},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7211532592773438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646580696105957},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5966929793357849},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5654355883598328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5497164130210876},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5084146857261658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49136391282081604},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4833545386791229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47394704818725586},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.4625963270664215},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.44698381423950195},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4427035450935364},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4416022300720215},{"id":"https://openalex.org/C105125183","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Statistical signal processing","level":4,"score":0.44067540764808655},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.4251842498779297},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.38248151540756226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14345782995224},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D002478","descriptor_name":"Cells, Cultured","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002478","descriptor_name":"Cells, Cultured","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002478","descriptor_name":"Cells, Cultured","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004566","descriptor_name":"Electrodes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004566","descriptor_name":"Electrodes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004566","descriptor_name":"Electrodes","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":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","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":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D017208","descriptor_name":"Rats, Wistar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017208","descriptor_name":"Rats, Wistar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017208","descriptor_name":"Rats, Wistar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2013.6609920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24110107","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24110107","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":[{"display_name":"Peace, Justice and strong institutions","score":0.699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1529448825","https://openalex.org/W1968550568","https://openalex.org/W1991266025","https://openalex.org/W2003649211","https://openalex.org/W2004892155","https://openalex.org/W2025462430","https://openalex.org/W2037387380","https://openalex.org/W2047451107","https://openalex.org/W2053011627","https://openalex.org/W2068711549","https://openalex.org/W2092500599","https://openalex.org/W2104053789","https://openalex.org/W2111123770","https://openalex.org/W2114652450","https://openalex.org/W2125320262","https://openalex.org/W2136104104","https://openalex.org/W2137442736","https://openalex.org/W2169866873","https://openalex.org/W2171406132","https://openalex.org/W2546124103","https://openalex.org/W4239719188","https://openalex.org/W6729252500"],"related_works":["https://openalex.org/W2124872530","https://openalex.org/W2133817032","https://openalex.org/W2366422659","https://openalex.org/W184290629","https://openalex.org/W2135657450","https://openalex.org/W2069235173","https://openalex.org/W2133419012","https://openalex.org/W4387357402","https://openalex.org/W4300952828","https://openalex.org/W2055969553"],"abstract_inverted_index":{"Development":[0],"of":[1,23,32,41,49,68,72,90,94,105,121,149,160],"methods":[2,36,53],"to":[3,16,79,117,155],"detect":[4,176],"and":[5,28,47,103,126,146,165,177],"classify":[6],"neural":[7,29],"spikes":[8,50,95,106],"in":[9,26,143],"extracellular":[10,167],"voltage":[11],"signals":[12],"(e.g.":[13],"commonly":[14],"referred":[15],"as":[17],"spike":[18,34,42,82],"sorting)":[19],"have":[20,54],"been":[21],"one":[22],"important":[24],"subjects":[25],"neuroscience":[27],"engineering.":[30],"Most":[31],"previous":[33],"sorting":[35,83],"suffer":[37],"from":[38],"unresolved":[39],"overlaps":[40,89,142],"waveforms":[43],"which":[44],"make":[45],"timings":[46,104],"shapes":[48],"unclear.":[51],"Some":[52],"got":[55],"a":[56,81],"handle":[57],"on":[58,111,141],"this":[59,75],"problem,":[60],"but":[61],"they":[62],"had":[63],"restrictions":[64],"about":[65],"the":[66,86,91,108,119,137,144,158],"type":[67],"electrodes":[69],"or":[70],"complexity":[71],"overlaps.":[73],"In":[74,115],"paper,":[76],"we":[77,135,169],"attempted":[78],"develop":[80],"method":[84,173],"for":[85],"signal":[87,164],"containing":[88],"arbitrary":[92,98,133],"number":[93],"recorded":[96],"with":[97],"electrodes.":[99],"We":[100],"estimated":[101],"templates":[102],"by":[107,131,151],"inference":[109],"based":[110],"hidden":[112],"Markov":[113],"model.":[114],"order":[116],"avoid":[118],"problem":[120],"too":[122,127],"high":[123],"computational":[124],"cost":[125],"much":[128],"decomposition":[129],"caused":[130],"assuming":[132],"overlaps,":[134],"imposed":[136],"weak":[138],"probabilistic":[139],"penalty":[140],"model":[145],"reduced":[147],"computation":[148],"estimation":[150],"approximating":[152],"low":[153],"probabilities":[154],"zero.":[156],"As":[157],"result":[159],"assessments":[161],"using":[162],"simulated":[163],"real":[166],"recordings,":[168],"showed":[170],"that":[171],"proposed":[172],"could":[174],"robustly":[175],"sort":[178],"complexly":[179],"overlapped":[180],"spikes.":[181]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}