{"id":"https://openalex.org/W2969593968","doi":"https://doi.org/10.1109/siu.2019.8806588","title":"Comparing Different Amplitude Thresholds in Extracellular Neural Recordings","display_name":"Comparing Different Amplitude Thresholds in Extracellular Neural Recordings","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2969593968","doi":"https://doi.org/10.1109/siu.2019.8806588","mag":"2969593968"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2019.8806588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th 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/A5076776479","display_name":"Eda Da\u011fdev\u0131r","orcid":"https://orcid.org/0000-0001-7065-9829"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eda Da\u011fdev\u0131r","raw_affiliation_strings":["Erciyes Üniversitesi, Kayseri, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Erciyes Üniversitesi, Kayseri, Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089898386","display_name":"Mehmet Kocat\u00fcrk","orcid":"https://orcid.org/0000-0003-1744-5252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehmet Kocat\u00fcrk","raw_affiliation_strings":["İstanbul Medipol Üniversitesi, İstanbul, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"İstanbul Medipol Üniversitesi, İstanbul, Türkiye","institution_ids":[]}]},{"author_position":"last","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":false,"raw_author_name":"Murat Okatan","raw_affiliation_strings":["Sivas Cumhuriyet Üniversitesi, Sivas, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sivas Cumhuriyet Üniversitesi, Sivas, Türkiye","institution_ids":["https://openalex.org/I12700597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09313345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998000264167786,"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":0.9995999932289124,"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/amplitude","display_name":"Amplitude","score":0.7678098678588867},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5682403445243835},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5394198894500732},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5217683911323547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4497029781341553},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.44215118885040283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4378274977207184},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4362425208091736},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4266889989376068},{"id":"https://openalex.org/keywords/neural-activity","display_name":"Neural activity","score":0.4256001114845276},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3938862681388855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3620184659957886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35160040855407715},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3475397229194641},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1706109344959259},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1473173201084137},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12816143035888672}],"concepts":[{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.7678098678588867},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5682403445243835},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5394198894500732},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5217683911323547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4497029781341553},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.44215118885040283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4378274977207184},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4362425208091736},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4266889989376068},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.4256001114845276},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3938862681388855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3620184659957886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35160040855407715},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3475397229194641},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1706109344959259},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1473173201084137},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12816143035888672},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2019.8806588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1490229695","https://openalex.org/W1995945562","https://openalex.org/W2007471231","https://openalex.org/W2066734670","https://openalex.org/W2171406132","https://openalex.org/W2337325633"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2017509870","https://openalex.org/W4220731478","https://openalex.org/W2542937328","https://openalex.org/W2093568254","https://openalex.org/W2100762899"],"abstract_inverted_index":{"Amplitude":[0],"thresholds":[1,114],"are":[2,23,46,68,79,108],"used":[3,117],"in":[4,25,118],"extracting":[5],"information":[6],"from":[7,52],"extracellular":[8,49],"neural":[9,26],"recordings.":[10],"While":[11],"the":[12,53,66,84,87,90,94],"amplitude":[13,113],"threshold":[14,45,78],"may":[15],"be":[16,35,101,116],"estimated":[17,36,47],"by":[18,37],"ensuring":[19],"that":[20,73],"behavioral":[21],"variables":[22],"encoded":[24],"activity":[27],"with":[28],"maximum":[29,38,95],"signal-to-noise":[30],"ratio,":[31],"it":[32],"can":[33],"also":[34],"likelihood.":[39],"Here,":[40],"these":[41,74],"two":[42,58,75],"types":[43,76],"of":[44,57,77,89,93],"using":[48],"recordings":[50],"collected":[51],"motor":[54],"cortex":[55],"(M1)":[56],"rats":[59],"performing":[60],"a":[61],"well-learned":[62],"visuomotor":[63],"task":[64],"and":[65],"estimates":[67],"compared.":[69],"The":[70],"results":[71,107],"show":[72],"not":[80],"significantly":[81],"different.":[82],"On":[83],"other":[85],"hand,":[86],"width":[88],"confidence":[91],"interval":[92],"likelihood":[96],"estimate":[97],"is":[98],"found":[99],"to":[100,103,115],"related":[102],"decoding":[104],"accuracy.":[105],"These":[106],"important":[109],"for":[110],"determining":[111],"appropriate":[112],"brain-machine":[119],"interfaces.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}