{"id":"https://openalex.org/W2110594353","doi":"https://doi.org/10.1109/icassp.2006.1660250","title":"Separation of Snr Via Dimension Expansion in a Model of the Central Auditory System","display_name":"Separation of Snr Via Dimension Expansion in a Model of the Central Auditory System","publication_year":2006,"publication_date":"2006-08-02","ids":{"openalex":"https://openalex.org/W2110594353","doi":"https://doi.org/10.1109/icassp.2006.1660250","mag":"2110594353"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/A5055671046","display_name":"Woojay Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Woojay Jeon","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology, School of Electrical & Computer Engineering, Atlanta, GA, 30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, School of Electrical & Computer Engineering, Atlanta, GA, 30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070867959","display_name":"Biing\u2010Hwang Juang","orcid":"https://orcid.org/0000-0002-5773-5679"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biing-Hwang Juang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.0792,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75479566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"1233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9993000030517578,"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":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9882000088691711,"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/T10320","display_name":"Neural Networks and Applications","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6484691500663757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5960779786109924},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5673524141311646},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5667092204093933},{"id":"https://openalex.org/keywords/auditory-system","display_name":"Auditory system","score":0.5600552558898926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.381610631942749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25376421213150024},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11322090029716492},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11116307973861694},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08997908234596252}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6484691500663757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5960779786109924},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5673524141311646},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5667092204093933},{"id":"https://openalex.org/C2777443451","wikidata":"https://www.wikidata.org/wiki/Q821413","display_name":"Auditory system","level":2,"score":0.5600552558898926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.381610631942749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25376421213150024},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11322090029716492},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11116307973861694},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08997908234596252},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2006.1660250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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":9,"referenced_works":["https://openalex.org/W57603882","https://openalex.org/W250076511","https://openalex.org/W1965392255","https://openalex.org/W2120751918","https://openalex.org/W2122516409","https://openalex.org/W2129715180","https://openalex.org/W2132606418","https://openalex.org/W6602322418","https://openalex.org/W6677933636"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2770593030","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W3154990682","https://openalex.org/W2181413294","https://openalex.org/W4281727072","https://openalex.org/W2560201613"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,35],"provide":[4],"a":[5,22,41,50],"theoretical":[6,115],"approach":[7],"for":[8,53,94],"analyzing":[9],"signal":[10,55],"and":[11,14,56,121],"noise":[12,57,74],"separation":[13,123],"the":[15,25,30,37,63,73,90,95,105,118,122],"noise-robustness":[16],"of":[17,24,43,76,107,117,124],"class-dependent":[18],"activation":[19],"areas":[20],"in":[21,29,62,110],"model":[23,39],"primary":[26],"auditory":[27,32,38,96],"cortex":[28],"central":[31],"system.":[33],"Specifically,":[34],"interpret":[36],"as":[40,49],"system":[42],"localized":[44],"matched":[45],"filters":[46],"that":[47],"act":[48],"place-coding":[51,119],"mechanism":[52],"mapping":[54],"spectra":[58],"into":[59],"separate":[60],"regions":[61],"three-dimensional":[64],"cortical":[65],"space.":[66],"This":[67],"framework":[68,99],"allows":[69],"us":[70],"to":[71,87],"analyse":[72],"robustness":[75],"signal-respondent":[77],"neurons":[78],"by":[79],"computing":[80],"their":[81],"signal-to-noise":[82],"ratio":[83],"(SNR)'s":[84],"without":[85],"having":[86],"explicitly":[88],"consider":[89],"complex":[91],"mathematical":[92],"expressions":[93],"model.":[97],"The":[98],"is":[100,126],"also":[101,127],"fundamentally":[102],"consistent":[103],"with":[104],"notion":[106],"category-dependence":[108],"proposed":[109],"our":[111],"previous":[112],"work.":[113],"Our":[114],"developments":[116],"effect":[120],"SNR":[125],"demonstrated":[128],"experimentally":[129]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}