{"id":"https://openalex.org/W2074808521","doi":"https://doi.org/10.1109/iscas.2010.5537579","title":"Mean firing rate spike representations for speech recognition","display_name":"Mean firing rate spike representations for speech recognition","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2074808521","doi":"https://doi.org/10.1109/iscas.2010.5537579","mag":"2074808521"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2010.5537579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2010.5537579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2010 IEEE International Symposium on Circuits and Systems","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 Neuro Engineering Laboratory, University of Florida, Gainesville, FL, USA","Computational NeuroEngineering Lab, University of Florida, Gainesville, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Neuro Engineering Laboratory, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Computational NeuroEngineering Lab, University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101088415","display_name":"Yukun Feng","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":"Yukun Feng","raw_affiliation_strings":["Computational Neuro Engineering Laboratory, University of Florida, Gainesville, FL, USA","Computational NeuroEngineering Lab, University of Florida, Gainesville, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Neuro Engineering Laboratory, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Computational NeuroEngineering Lab, University of Florida, Gainesville, FL","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19347319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"517","last_page":"520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10860","display_name":"Speech and Audio Processing","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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","display_name":"Spike (software development)","score":0.7671884298324585},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6622748970985413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6379963159561157},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.497132807970047},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4836762845516205},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4777587950229645},{"id":"https://openalex.org/keywords/cochlea","display_name":"Cochlea","score":0.4491382837295532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44901251792907715},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4130341112613678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3276800811290741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22326406836509705},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1284904181957245},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0900844931602478}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7671884298324585},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6622748970985413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6379963159561157},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.497132807970047},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4836762845516205},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4777587950229645},{"id":"https://openalex.org/C2780130748","wikidata":"https://www.wikidata.org/wiki/Q317857","display_name":"Cochlea","level":2,"score":0.4491382837295532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44901251792907715},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4130341112613678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3276800811290741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22326406836509705},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1284904181957245},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0900844931602478},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2010.5537579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2010.5537579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2010 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1971910041","https://openalex.org/W1983111606","https://openalex.org/W1996743323","https://openalex.org/W2026174629","https://openalex.org/W2060772741","https://openalex.org/W2083145261","https://openalex.org/W2148154194","https://openalex.org/W2428556925","https://openalex.org/W2990211396","https://openalex.org/W4245923654","https://openalex.org/W6717896714"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W1581723585","https://openalex.org/W4378714697","https://openalex.org/W2294330161","https://openalex.org/W2940472653","https://openalex.org/W3035016037","https://openalex.org/W2253069048","https://openalex.org/W2804553224","https://openalex.org/W140709781"],"abstract_inverted_index":{"The":[0],"nature":[1],"of":[2,5,72,96,119],"spike":[3,26,122],"coding":[4],"auditory":[6,32],"signals":[7],"is":[8,49],"studied":[9],"by":[10],"comparing":[11],"mean":[12,79,129],"firing":[13,24,60,80,130],"rate":[14,25,61,81,131],"codes":[15],"with":[16,86,136],"conventional":[17,100],"approaches":[18],"in":[19],"speech":[20],"recognition":[21],"tasks.":[22],"Mean":[23],"representations":[27],"are":[28,35,44,53,108],"problematic":[29],"since":[30],"most":[31],"nerve":[33,55],"fibers":[34,56],"saturated":[36],"at":[37,69,112],"typical":[38],"conversation":[39],"levels.":[40],"However,":[41],"these":[42],"problems":[43],"eased":[45],"somewhat":[46],"when":[47],"it":[48],"considered":[50],"that":[51,63,77,106,127],"there":[52,107],"other":[54],"(e.g.":[57],"low":[58],"spontaneous":[59],"fibers)":[62],"could":[64,133],"efficiently":[65],"encode":[66],"the":[67,73,93,117,120,128],"information":[68],"each":[70,113],"channel":[71,114],"cochlea.":[74],"We":[75],"show":[76],"window-based,":[78],"features":[82,132],"can":[83],"be":[84,134],"used":[85],"a":[87,99],"crude":[88],"cochlea":[89],"model":[90],"to":[91,115],"achieve":[92],"same":[94],"level":[95],"performance":[97,141],"as":[98],"MFCC-based":[101],"approach.":[102],"These":[103],"results":[104],"assume":[105],"sufficient":[109],"neurons":[110],"available":[111],"average":[116],"randomness":[118],"stochastic":[121],"trains.":[123],"Furthermore,":[124],"we":[125],"argue":[126],"augmented":[135],"timing":[137],"cues":[138],"for":[139],"further":[140],"improvement.":[142]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
