{"id":"https://openalex.org/W2095666859","doi":"https://doi.org/10.1109/iscas.2008.4541425","title":"Pulse-based signal compression for implanted neural recording systems","display_name":"Pulse-based signal compression for implanted neural recording systems","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2095666859","doi":"https://doi.org/10.1109/iscas.2008.4541425","mag":"2095666859"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2008.4541425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2008.4541425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111653563","display_name":"John G. Harris","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John G. Harris","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019504861","display_name":"Jos\u00e9 C. Pr\u0131\u0301ncipe","orcid":"https://orcid.org/0000-0002-3449-3531"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose C. Principe","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090559862","display_name":"Justin C. Sanchez","orcid":"https://orcid.org/0000-0002-2094-8400"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin C. Sanchez","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025681134","display_name":"Du Chen","orcid":"https://orcid.org/0000-0002-1023-5829"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Du Chen","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103531422","display_name":"Christy She","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christy She","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"78","issue":null,"first_page":"344","last_page":"347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9998999834060669,"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":0.9995999932289124,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spike-sorting","display_name":"Spike sorting","score":0.8449981212615967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7878116369247437},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.6750873923301697},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6431329846382141},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6257423162460327},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.520077645778656},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.4729357063770294},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4336935877799988},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36412879824638367},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.36239123344421387},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1913290023803711},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19047170877456665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1904149353504181},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.1228381097316742},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10652482509613037},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.0812978446483612}],"concepts":[{"id":"https://openalex.org/C2777613131","wikidata":"https://www.wikidata.org/wiki/Q2003571","display_name":"Spike sorting","level":3,"score":0.8449981212615967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878116369247437},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.6750873923301697},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6431329846382141},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6257423162460327},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.520077645778656},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.4729357063770294},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4336935877799988},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36412879824638367},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.36239123344421387},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1913290023803711},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19047170877456665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1904149353504181},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.1228381097316742},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10652482509613037},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0812978446483612},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2008.4541425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2008.4541425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W29781625","https://openalex.org/W1566782389","https://openalex.org/W1686382826","https://openalex.org/W2041248708","https://openalex.org/W2097653995","https://openalex.org/W2122073426","https://openalex.org/W2122369445","https://openalex.org/W2130316372","https://openalex.org/W2159318368","https://openalex.org/W2163926071","https://openalex.org/W2164406718","https://openalex.org/W2165107283","https://openalex.org/W2182280664","https://openalex.org/W2538089853","https://openalex.org/W6601221807","https://openalex.org/W6633969248","https://openalex.org/W6728501822"],"related_works":["https://openalex.org/W1968361507","https://openalex.org/W3136143059","https://openalex.org/W3178771700","https://openalex.org/W2037099207","https://openalex.org/W3035015922","https://openalex.org/W4399305221","https://openalex.org/W2124872530","https://openalex.org/W2097405940","https://openalex.org/W2366422659","https://openalex.org/W4377004198"],"abstract_inverted_index":{"Today's":[0],"implanted":[1],"neural":[2],"systems":[3],"are":[4,34],"bound":[5],"by":[6],"tight":[7],"constraints":[8],"on":[9,53,73,89,122,134,149],"power":[10],"and":[11,92],"communication":[12,45],"bandwidth.":[13],"Most":[14],"conventional":[15,165],"ADC-based":[16],"approaches":[17],"fall":[18],"into":[19],"two":[20],"categories.":[21],"Either":[22],"they":[23,49],"transmit":[24,129,139],"all":[25],"of":[26,41,70,97],"the":[27,30,54,68,74,95,105,110,135,150,157],"information":[28],"at":[29],"Nyquist":[31],"rate":[32],"but":[33,66,143],"ultimately":[35],"limited":[36],"to":[37,44,61,86,128,138],"only":[38],"a":[39,58,84],"handful":[40],"channels":[42,65],"due":[43],"bandwidth":[46],"constraints.":[47],"Or":[48],"perform":[50],"spike":[51,71,98,147,159],"detection":[52],"front-end":[55],"which":[56],"allows":[57],"scale":[59],"up":[60],"100":[62],"or":[63,137],"more":[64],"prevents":[67],"use":[69],"sorting":[72,77,148,153,160],"backend.":[75],"Spike":[76,152],"is":[78,125,162],"an":[79],"important":[80],"step":[81],"that":[82,156],"provides":[83],"labeling":[85],"multiple":[87],"neurons":[88],"each":[90,123],"channel":[91,124],"further":[93],"improves":[94],"accuracy":[96,161],"detection.":[99],"In":[100],"this":[101],"paper":[102],"we":[103],"describe":[104],"pulse-based":[106,158],"approach":[107],"used":[108,167],"in":[109,168],"FWIRE":[111],"(Florida":[112],"wireless":[113],"implantable":[114],"recording":[115],"electrodes)":[116],"project.":[117],"A":[118],"hardware":[119],"spiking":[120],"neuron":[121],"configured":[126],"either":[127],"pulses":[130,142],"for":[131,146],"full":[132],"reconstruction":[133],"back-end,":[136],"dramatically":[140],"fewer":[141],"still":[144],"allow":[145],"back-end.":[151],"results":[154],"show":[155],"competitive":[163],"with":[164],"methods":[166],"daily":[169],"practice.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}