{"id":"https://openalex.org/W1996699120","doi":"https://doi.org/10.1155/2014/161203","title":"Modeling and Analysis of Neural Spike Trains","display_name":"Modeling and Analysis of Neural Spike Trains","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1996699120","doi":"https://doi.org/10.1155/2014/161203","mag":"1996699120","pmid":"https://pubmed.ncbi.nlm.nih.gov/25104957"},"language":"en","primary_location":{"id":"doi:10.1155/2014/161203","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/161203","pdf_url":"https://downloads.hindawi.com/journals/cin/2014/161203.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"editorial","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2014/161203.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100714559","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0002-7025-7907"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Department of Statistics, Florida State University, Tallahassee, FL 32306, USA"],"raw_orcid":"https://orcid.org/0000-0002-7025-7907","affiliations":[{"raw_affiliation_string":"Department of Statistics, Florida State University, Tallahassee, FL 32306, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079610299","display_name":"Asohan Amarasingham","orcid":"https://orcid.org/0000-0002-0722-0538"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asohan Amarasingham","raw_affiliation_strings":["Department of Mathematics, The City College of New York, New York, NY 10031, USA"],"raw_orcid":"https://orcid.org/0000-0002-0722-0538","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The City College of New York, New York, NY 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457703","display_name":"Zhe Chen","orcid":"https://orcid.org/0000-0002-6483-6056"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe (Sage) Chen","raw_affiliation_strings":["Department of Psychiatry and Department of Neuroscience and Physiology, New York University School of Medicine, New York, NY 10016, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry and Department of Neuroscience and Physiology, New York University School of Medicine, New York, NY 10016, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000135103","display_name":"Sung-Phil Kim","orcid":"https://orcid.org/0000-0001-6665-3475"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Phil Kim","raw_affiliation_strings":["School of Design and Human Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 689-798, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-6665-3475","affiliations":[{"raw_affiliation_string":"School of Design and Human Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan 689-798, Republic of Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100714559"],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07488162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2014","issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9951000213623047,"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":0.9951000213623047,"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/T10320","display_name":"Neural Networks and Applications","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9621000289916992,"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/computer-science","display_name":"Computer science","score":0.7464116811752319},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.70588618516922},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.5847142338752747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144014954566956},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4998962879180908},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49733975529670715},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48464733362197876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44056352972984314},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.41637760400772095},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.41562020778656006},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37656670808792114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464116811752319},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.70588618516922},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.5847142338752747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144014954566956},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4998962879180908},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49733975529670715},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48464733362197876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44056352972984314},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41637760400772095},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.41562020778656006},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37656670808792114},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","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":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":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1155/2014/161203","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/161203","pdf_url":"https://downloads.hindawi.com/journals/cin/2014/161203.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:25104957","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25104957","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:academicworks.cuny.edu:cc_pubs-1103","is_oa":false,"landing_page_url":"https://academicworks.cuny.edu/cc_pubs/104","pdf_url":null,"source":{"id":"https://openalex.org/S4377196304","display_name":"CUNY Academic Works (City University of New York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174216632","host_organization_name":"City University of New York","host_organization_lineage":["https://openalex.org/I174216632"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Publications and Research","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:1b5de41b827c4477b317538aa3d25606","is_oa":false,"landing_page_url":"https://doaj.org/article/1b5de41b827c4477b317538aa3d25606","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2014 (2014)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3094514","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4106068","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/5493","is_oa":false,"landing_page_url":"https://scholarworks.unist.ac.kr/handle/201301/5493","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ARTICLE"}],"best_oa_location":{"id":"doi:10.1155/2014/161203","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/161203","pdf_url":"https://downloads.hindawi.com/journals/cin/2014/161203.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1996699120.pdf","grobid_xml":"https://content.openalex.org/works/W1996699120.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2383615955","https://openalex.org/W2056756835","https://openalex.org/W2187212244","https://openalex.org/W2775582103","https://openalex.org/W2329992713","https://openalex.org/W2062974934","https://openalex.org/W1558157446","https://openalex.org/W2173049006","https://openalex.org/W2014837149","https://openalex.org/W2950605049"],"abstract_inverted_index":{"It":[0,468,701,778],"is":[1,7,44,51,135,220,273,364,475,557,631,779],"well":[2,197,634],"known":[3],"that":[4,429,470,523,647,703,782],"time-dependent":[5],"information":[6,563],"represented":[8],"via":[9],"sequences":[10,25],"of":[11,23,32,39,63,131,168,176,207,226,233,248,305,314,473,481,497,508,525,538,544,554,559,562,576,606,626,670,684,690,740,808],"stereotyped":[12],"spike":[13,27,177,238,257,295,306,377,509,578,598,608,629,658,694,717,730,746,795],"waveforms":[14],"in":[15,36,100,152,161,255,358,425,460,500,744,811],"the":[16,33,37,145,153,199,204,268,271,289,292,362,432,463,471,485,505,512,526,545,560,624,641,645,649,668,704,716,775,793,800,812],"nervous":[17],"system.":[18],"Mathematical":[19],"modeling":[20,179,575,797],"and":[21,56,88,96,111,120,125,149,164,180,251,264,285,302,312,318,329,345,353,379,422,427,457,491,519,548,580,586,610,643,663,719,727,770,789,799,814],"analysis":[22,654],"waveform":[24,695,731],"(or":[26],"trains)":[28],"have":[29,102],"been":[30,66],"one":[31],"central":[34],"problems":[35],"field":[38,381],"computational":[40],"neuroscience.":[41],"This":[42,383,679],"problem":[43,669],"significantly":[45],"challenging":[46],"since":[47],"population":[48,265],"neuronal":[49,108,315,466,673,809],"activity":[50,71,327,344,374],"often":[52],"stochastic,":[53],"highly":[54,728],"correlated,":[55],"nonstationary":[57],"across":[58],"time.":[59],"A":[60,166,615],"great":[61],"deal":[62],"effort":[64],"has":[65,114],"devoted":[67,115],"to":[68,105,118,136,143,157,282,348,366,389,407,435,529,542,565,692,713,720,757,792],"characterizing":[69],"this":[70,132,185,215,450,555,567,758],"by":[72,193,241,331,411,441,516,572,582,660],"using":[73,452],"state-of-the-art":[74],"methodologies,":[75],"such":[76,375,483],"as":[77,196,198,280,376,403,484,623,633,635],"artificial":[78],"neural":[79,237,256,300,326,343,373,392,445,577,597,607,628,657,745,794],"networks,":[80],"signal":[81],"processing":[82],"methods,":[83],"adaptive":[84],"filtering":[85],"theory,":[86],"parametric":[87],"nonparametric":[89],"probabilistic":[90,574,593],"models,":[91],"Bayesian":[92,234,249,277],"inference,":[93],"metric-based":[94],"analysis,":[95,181,259],"information-theoretic":[97],"methods.":[98],"Advances":[99],"technology":[101],"enabled":[103],"us":[104],"record":[106],"larger-scale":[107],"ensemble":[109],"activity,":[110],"current":[112],"research":[113,742],"a":[116,173,221,245,337,368,386,404,442,478,536,591,682],"lot":[117],"integrating":[119,341],"analyzing":[121],"increasingly":[122],"large-volume,":[123],"high-dimensional,":[124],"fine-grain":[126],"experimental":[127],"data.\r\n\r\nThe":[128],"main":[129],"focus":[130,272],"special":[133,186,216,759],"issue":[134],"provide":[137,708,786],"an":[138,349,354,416,636,709],"international":[139],"forum":[140],"for":[141,184,214,224,236,324,340,595,619,639,656,724,753,766,805],"researchers":[142],"present":[144],"most":[146],"recent":[147],"developments":[148],"innovative":[150],"ideas":[151,788],"field.":[154],"We":[155,749,761],"aim":[156],"incorporate":[158],"new":[159],"contributions":[160],"theories,":[162],"algorithms,":[163],"applications.":[165,818],"total":[167],"17":[169],"submissions,":[170],"which":[171,600],"cover":[172],"broad":[174],"spectrum":[175],"train":[178,239,258,747,796],"were":[182],"received":[183],"issue.":[187,217,760],"Each":[188],"submission":[189],"was":[190],"rigorously":[191],"reviewed":[192],"external":[194],"referees":[195],"Guest":[200],"Editor.":[201],"To":[202],"ensure":[203],"high":[205],"quality":[206,472],"papers,":[208],"we":[209],"finally":[210],"accepted":[211,228],"6":[212],"articles":[213],"The":[218,447,552],"following":[219],"brief":[222],"summary":[223],"each":[225],"these":[227,734,783],"articles.\r\n\r\nThe":[229],"paper":[230,320,398,448,495,569,651],"\u201cAn":[231],"overview":[232,247],"methods":[235,250],"analysis\u201d":[240],"Z.":[242],"Chen":[243,665],"presents":[244],"tutorial":[246],"their":[252,755,768],"representative":[253],"applications":[254],"at":[260],"both":[261],"single":[262,672,698],"neuron":[263],"levels.":[266],"On":[267,288],"theoretical":[269],"side,":[270,291],"on":[274,477,504,687],"various":[275],"approximate":[276],"inference":[278,313],"techniques":[279],"applied":[281,541],"latent":[283],"state":[284],"parameter":[286],"estimation.":[287],"application":[290],"topics":[293,743],"include":[294],"sorting,":[296],"tuning":[297],"curve":[298],"estimation,":[299],"encoding":[301],"decoding,":[303],"deconvolution":[304],"trains":[307,378,510,579,609,630],"from":[308,395,431,675],"calcium":[309],"imaging":[310],"signals,":[311],"functional":[316],"connectivity":[317],"synchrony.\r\n\r\nThe":[319],"\u201cA":[321],"tensor-product-kernel":[322,338],"framework":[323,339,388],"multiscale":[325,342],"decoding":[328,352],"control\u201d":[330],"L.":[332],"Li":[333],"et":[334],"al.":[335],"proposes":[336,681],"applies":[346],"it":[347],"offline":[350],"stimulus":[351,486],"open-loop":[355],"control":[356],"task":[357],"brain-machine":[359],"interface.":[360],"Choosing":[361],"kernels":[363],"equivalent":[365],"identifying":[367,671],"proper":[369],"spatiotemporal":[370],"scale":[371],"among":[372],"local":[380],"potentials.":[382],"work":[384],"provides":[385],"general":[387],"leverage":[390],"heterogeneous":[391],"activities":[393],"recorded":[394],"neuroscience":[396,426],"experiments.\r\n\r\nThe":[397],"\u201cHomogenous":[399],"chaotic":[400,444],"network":[401,459],"serving":[402],"rate/population":[405],"code":[406,409,434,437],"temporal":[408,423,436],"converter\u201d":[410],"M.":[412,520,587],"V.":[413,661],"Kiselev":[414],"addresses":[415],"important":[417],"relationship":[418],"between":[419],"rate":[420,433],"coding":[421,424],"shows":[428,469],"conversation":[430,474],"can":[438,707],"be":[439,803],"implemented":[440],"homogeneous":[443],"network.":[446],"demonstrates":[449,522,702],"approach":[451],"simulated":[453],"leaky":[454],"integrate-and-fire":[455],"neurons":[456],"spiking":[458],"line":[461],"with":[462,535,667],"selective":[464],"polychromous":[465],"groups.":[467],"dependent":[476],"wide":[479],"range":[480],"parameters,":[482],"diversity,":[487],"intensity,":[488],"background":[489],"noise,":[490],"excitatory":[492],"connection":[493],"delays.\r\n\r\nThe":[494],"\u201cPrediction":[496],"human's":[498],"ability":[499,528],"sound":[501],"localization":[502,532],"based":[503,686],"statistical":[506],"properties":[507],"along":[511],"brainstem":[513],"auditory":[514,531,546],"pathway\u201d":[515],"R.":[517],"Krips":[518],"Furst":[521],"aspects":[524],"human":[527],"perform":[530,566],"are":[533],"compatible":[534],"theory":[537],"optimal":[539],"estimation":[540],"responses":[543],"nerve":[547],"superior":[549],"olivary":[550],"complex.":[551],"nature":[553],"fit":[556],"suggestive":[558],"sources":[561],"used":[564],"computation.\r\n\r\nThe":[568],"\u201cSpike":[570],"sorting":[571,599],"joint":[573],"waveforms\u201d":[581],"B.":[583],"A.":[584,588],"Matthews":[585],"Clements":[589],"develops":[590],"novel":[592,616,787],"method":[594,706],"automatic":[596],"uses":[601],"stochastic":[602],"point":[603],"process":[604],"models":[605],"parameterized":[611],"action":[612],"potential":[613],"waveforms.":[614,700],"likelihood":[617],"model":[618],"observed":[620],"firing":[621],"times":[622],"aggregation":[625],"hidden":[627],"derived":[632],"iterative":[637],"procedure":[638],"clustering":[640],"data":[642,653,696,718],"finding":[644],"parameters":[646],"maximize":[648],"likelihood.\r\n\r\nThe":[650],"\u201cSparse":[652],"strategy":[655],"classification\u201d":[659],"Vigneron":[662],"H.":[664],"deals":[666],"units":[674],"multichannel":[676],"extracellular":[677],"recordings.":[678],"study":[680],"family":[683],"metrics":[685],"different":[688],"levels":[689],"parsimony":[691],"separate":[693],"into":[697],"unit":[699],"proposed":[705],"effective":[710,817],"spike-sorting":[711],"tool":[712],"visually":[714],"analyze":[715],"produce":[721],"robust":[722],"results":[723,801],"noisy,":[725],"imbalanced,":[726],"correlated":[729],"data.\r\n\r\nIn":[732],"summary,":[733],"six":[735],"papers":[736,756,784],"offer":[737],"many":[738],"examples":[739],"active":[741],"analysis.":[748],"thank":[750,763],"all":[751,764],"authors":[752],"submitting":[754],"also":[762],"reviewers":[765],"providing":[767,815],"expertise":[769],"making":[771],"valuable":[772],"comments":[773],"during":[774],"reviewing":[776],"process.":[777],"our":[780],"hope":[781],"would":[785,802],"methodological":[790],"development":[791],"community,":[798],"useful":[804],"better":[806],"understanding":[807],"mechanisms":[810],"brain":[813],"more":[816]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}