{"id":"https://openalex.org/W2848776107","doi":"https://doi.org/10.1109/siu.2018.8404387","title":"Comparison of truncation thresholds with four different robust scale estimators","display_name":"Comparison of truncation thresholds with four different robust scale estimators","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2848776107","doi":"https://doi.org/10.1109/siu.2018.8404387","mag":"2848776107"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5048509636","display_name":"Murat Okatan","orcid":"https://orcid.org/0000-0002-0064-6747"},"institutions":[{"id":"https://openalex.org/I12700597","display_name":"Sivas Cumhuriyet \u00dcniversitesi","ror":"https://ror.org/04f81fm77","country_code":"TR","type":"education","lineage":["https://openalex.org/I12700597"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Murat Okatan","raw_affiliation_strings":["Cumhuriyet Universitesi, Sivas, TR"],"affiliations":[{"raw_affiliation_string":"Cumhuriyet Universitesi, Sivas, TR","institution_ids":["https://openalex.org/I12700597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048509636"],"corresponding_institution_ids":["https://openalex.org/I12700597"],"apc_list":null,"apc_paid":null,"fwci":0.4954,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63011337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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":0.9994000196456909,"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/estimator","display_name":"Estimator","score":0.8011574745178223},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.7701895833015442},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5930655002593994},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.5575674772262573},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5124154686927795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49548566341400146},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.41829007863998413},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4075963497161865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3630962371826172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3449089527130127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3430917263031006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.342121958732605},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11409437656402588}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8011574745178223},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.7701895833015442},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5930655002593994},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.5575674772262573},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5124154686927795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49548566341400146},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.41829007863998413},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4075963497161865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3630962371826172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3449089527130127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3430917263031006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.342121958732605},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11409437656402588},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2018.8404387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1989898472","https://openalex.org/W2005310742","https://openalex.org/W2007495909","https://openalex.org/W2037316494","https://openalex.org/W2062317132","https://openalex.org/W2117151438","https://openalex.org/W2136104104","https://openalex.org/W2158940042","https://openalex.org/W2171406132","https://openalex.org/W2248260321","https://openalex.org/W2478738321","https://openalex.org/W2605596398","https://openalex.org/W2609008982","https://openalex.org/W4229530126"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W2116854923","https://openalex.org/W4312766348","https://openalex.org/W2104723370","https://openalex.org/W1975715045","https://openalex.org/W2846269770"],"abstract_inverted_index":{"Spike":[0],"detection":[1,67,90],"in":[2,27,59,65,68,91,163,169,202],"extracellular":[3,69,92,173],"neural":[4,70,93,174],"recordings":[5,71],"is":[6,13,34,98,155,183],"performed":[7],"using":[8],"amplitude":[9,83,200],"thresholding.":[10],"The":[11,176],"threshold":[12],"set":[14],"to":[15,17,45,115,157],"3":[16],"5":[18],"times":[19],"the":[20,25,28,37,43,50,60,104,107,121,127,132,160,165],"estimated":[21,99,184],"standard":[22,39,96,123,167,181],"deviation":[23,40,97,124,168,182],"of":[24,82,103,106,134,159,172],"noise":[26,166,180],"filtered":[29],"recording.":[30],"Robust":[31],"median":[32,129],"estimator":[33,41,125,151],"preferred":[35],"over":[36],"conventional":[38,122],"for":[42,88,194,199],"estimation":[44],"be":[46],"less":[47],"affected":[48],"by":[49],"firing":[51],"rate.":[52],"There":[53],"are":[54,79,86,192],"several":[55],"robust":[56,128,137],"scale":[57,138],"estimators":[58,139],"literature":[61],"and":[62,126,152],"their":[63],"employability":[64],"spike":[66,89],"has":[72,112],"not":[73],"been":[74,113],"studied":[75],"previously.":[76],"Truncation":[77],"thresholds":[78,84,162],"a":[80,101,196],"pair":[81],"that":[85,158,179],"used":[87],"recordings.":[94,175],"Noise":[95],"as":[100],"byproduct":[102],"computation":[105],"truncation":[108,161,188],"thresholds.":[109,189],"This":[110],"method":[111,198],"shown":[114],"yield":[116],"more":[117,185],"accurate":[118],"results":[119,177],"than":[120],"estimator.":[130],"Here,":[131],"performance":[133],"four":[135],"different":[136],"(S":[140],"<sub":[141,146],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[142,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</sub>":[143,148],",":[144,149],"Q":[145],"trimmed":[150],"winsorized":[153],"estimator)":[154],"compared":[156],"estimating":[164],"realistic":[170],"simulations":[171],"show":[178],"accurately":[186],"with":[187],"These":[190],"findings":[191],"important":[193],"developing":[195],"suitable":[197],"thresholding":[201],"brain-machine-interfaces.":[203]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}