{"id":"https://openalex.org/W2104502981","doi":"https://doi.org/10.1109/icdsp.2009.5201163","title":"Robustness of neural spike sorting to sampling rate and quantization bit depth","display_name":"Robustness of neural spike sorting to sampling rate and quantization bit depth","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W2104502981","doi":"https://doi.org/10.1109/icdsp.2009.5201163","mag":"2104502981"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2009.5201163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2009.5201163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th International Conference on Digital Signal Processing","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/A5011740399","display_name":"Yasser Ghanbari","orcid":null},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasser Ghanbari","raw_affiliation_strings":["Department of Electrical Engineering, Southern Methodist University, Dallas, TX, USA","Department of Electrical Engineering, Southern Methodist University, Dallas, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]},{"raw_affiliation_string":"Department of Electrical Engineering, Southern Methodist University, Dallas, Texas, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045459202","display_name":"P. Papamichalis","orcid":null},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panos Papamichalis","raw_affiliation_strings":["Department of Electrical Engineering, Southern Methodist University, Dallas, TX, USA","Department of Electrical Engineering, Southern Methodist University, Dallas, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]},{"raw_affiliation_string":"Department of Electrical Engineering, Southern Methodist University, Dallas, Texas, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044836628","display_name":"Larry Spence","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100223","display_name":"Plexon (United States)","ror":"https://ror.org/013rrw978","country_code":"US","type":"company","lineage":["https://openalex.org/I4210100223"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Larry Spence","raw_affiliation_strings":["Plexon, Inc., Dallas, TX, USA","Plexon Inc., Dallas, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Plexon, Inc., Dallas, TX, USA","institution_ids":["https://openalex.org/I4210100223"]},{"raw_affiliation_string":"Plexon Inc., Dallas, Texas, USA","institution_ids":["https://openalex.org/I4210100223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4287,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63945515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/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/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/spike-sorting","display_name":"Spike sorting","score":0.8775326609611511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6916067600250244},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6364122629165649},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.61275714635849},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5849694013595581},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5817533135414124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5447938442230225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5166075825691223},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.4889732599258423},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43315589427948},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4281449019908905},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3279772400856018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31891629099845886},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.23603886365890503},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1976807713508606}],"concepts":[{"id":"https://openalex.org/C2777613131","wikidata":"https://www.wikidata.org/wiki/Q2003571","display_name":"Spike sorting","level":3,"score":0.8775326609611511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916067600250244},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6364122629165649},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.61275714635849},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5849694013595581},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5817533135414124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5447938442230225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5166075825691223},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.4889732599258423},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43315589427948},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4281449019908905},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3279772400856018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31891629099845886},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.23603886365890503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1976807713508606},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2009.5201163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2009.5201163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.900.9804","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.900.9804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lyle.smu.edu/%7Eyghanbari/DSP2009_Paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1982601030","https://openalex.org/W1991266025","https://openalex.org/W2144354372","https://openalex.org/W2171406132","https://openalex.org/W2913066018","https://openalex.org/W4239719188","https://openalex.org/W4253794406"],"related_works":["https://openalex.org/W2340678901","https://openalex.org/W3029686646","https://openalex.org/W1513711368","https://openalex.org/W2081696344","https://openalex.org/W2195865864","https://openalex.org/W1508038409","https://openalex.org/W1526941731","https://openalex.org/W1524890377","https://openalex.org/W1987124709","https://openalex.org/W2121079090"],"abstract_inverted_index":{"Extracellular":[0],"recording":[1],"of":[2,9,35,48,66,74,90,106],"neural":[3,24],"signals":[4],"records":[5],"the":[6,13,18,22,27,36,40,49,64,69,77,88,91,98,104,150,157],"action":[7],"potentials":[8],"neurons":[10],"adjacent":[11],"to":[12,95,136,139,149],"electrode":[14],"as":[15,17],"well":[16],"noise":[19],"generated":[20],"by":[21],"overall":[23],"activity":[25],"around":[26],"electrode.":[28],"The":[29,131],"spike":[30,92],"sorting":[31,93],"process,":[32],"i.e.,":[33],"detection":[34],"noisy":[37],"spikes":[38,50],"in":[39,97],"recorded":[41],"digital":[42],"signal,":[43],"feature":[44],"extraction,":[45],"and":[46,72,103,117],"clustering":[47,121],"has":[51],"been":[52,83],"investigated":[53],"extensively":[54],"since":[55],"it":[56,155],"is":[57],"a":[58],"challenging":[59],"problem":[60],"for":[61],"neuroscientists.":[62],"However,":[63],"effects":[65,119],"digitization,":[67],"including":[68],"sampling":[70,101,151],"rate":[71,152],"number":[73,105],"bits,":[75],"on":[76,120],"above":[78],"three-stage":[79],"process":[80],"have":[81],"not":[82],"investigated.":[84],"This":[85],"paper":[86],"addresses":[87],"robustness":[89],"procedure":[94],"variations":[96,143],"signal":[99],"bandwidth,":[100],"rate,":[102],"quantization":[107,140],"levels":[108],"(bit":[109],"depth).":[110],"Different":[111],"signal-to-noise":[112],"ratios":[113],"(SNRs)":[114],"are":[115,122,134,146],"used":[116],"their":[118],"studied,":[123],"when":[124,154],"using":[125],"principal":[126],"components":[127],"analysis":[128],"(PCA)":[129],"features.":[130],"PCA-based":[132],"features":[133],"shown":[135],"be":[137],"robust":[138],"bit":[141],"depth":[142],"while":[144],"they":[145],"quite":[147],"sensitive":[148],"even":[153],"exceeds":[156],"Nyquist":[158],"rate.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}