{"id":"https://openalex.org/W2039270875","doi":"https://doi.org/10.1109/iscas.2014.6865405","title":"Optimization of nonlinear energy operator based spike detection circuit for high density neural recordings","display_name":"Optimization of nonlinear energy operator based spike detection circuit for high density neural recordings","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2039270875","doi":"https://doi.org/10.1109/iscas.2014.6865405","mag":"2039270875"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2014.6865405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2014.6865405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5068922983","display_name":"Yuning Yang","orcid":"https://orcid.org/0000-0003-1805-4210"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuning Yang","raw_affiliation_strings":["Electrical and Computer Engineering, Michigan State University, East Lansing, USA","Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Michigan State University, East Lansing, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025942859","display_name":"Andrew J. Mason","orcid":"https://orcid.org/0000-0002-6548-1162"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew J. Mason","raw_affiliation_strings":["Electrical and Computer Engineering, Michigan State University, East Lansing, USA","Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Michigan State University, East Lansing, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.3159,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58855545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1396","last_page":"1399"},"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/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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.8571205735206604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718411922454834},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5861849188804626},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.49910402297973633},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4891274571418762},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4813976287841797},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.48020777106285095},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47733384370803833},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4588741362094879},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.44256168603897095},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.43143004179000854},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.415654718875885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3834978938102722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2797085642814636},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2622196078300476},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16827300190925598},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1624184250831604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1578790843486786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14796674251556396},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.14125961065292358}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.8571205735206604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718411922454834},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5861849188804626},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.49910402297973633},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4891274571418762},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4813976287841797},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.48020777106285095},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47733384370803833},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4588741362094879},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.44256168603897095},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.43143004179000854},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.415654718875885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3834978938102722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2797085642814636},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2622196078300476},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16827300190925598},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1624184250831604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1578790843486786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14796674251556396},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.14125961065292358},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/iscas.2014.6865405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2014.6865405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1538482441","https://openalex.org/W2021351682","https://openalex.org/W2077630355","https://openalex.org/W2119235711","https://openalex.org/W2126488336","https://openalex.org/W2136104104","https://openalex.org/W2136248087","https://openalex.org/W2139184079","https://openalex.org/W2144910141","https://openalex.org/W2147636049","https://openalex.org/W2177464813","https://openalex.org/W3142095621"],"related_works":["https://openalex.org/W2174331923","https://openalex.org/W2050175337","https://openalex.org/W2769135912","https://openalex.org/W2329992713","https://openalex.org/W3050304047","https://openalex.org/W2062974934","https://openalex.org/W2317338006","https://openalex.org/W2385487847","https://openalex.org/W2385476654","https://openalex.org/W2904960904"],"abstract_inverted_index":{"Future":[0],"brain":[1],"machine":[2],"interface":[3,23],"systems":[4],"will":[5],"require":[6],"recording":[7],"thousands":[8],"of":[9,21,41,64,69,76,97,114],"neural":[10,22,33],"channels,":[11],"making":[12],"it":[13],"important":[14],"to":[15,80,110,121],"minimize":[16],"the":[17,39,48,67,74,98],"power":[18,58],"and":[19,59,73,108],"area":[20],"integrated":[24],"circuits.":[25],"Spike":[26],"detection":[27,44,91],"is":[28,55,71,78,106],"an":[29,95,101],"essential":[30],"step":[31],"for":[32,57],"signal":[34],"processing.":[35],"This":[36],"paper":[37],"describes":[38],"design":[40],"a":[42,112],"spike":[43,90],"circuit":[45],"based":[46],"on":[47,94],"nonlinear":[49],"energy":[50],"operator":[51],"(NEO)":[52],"algorithm":[53],"that":[54],"optimized":[56],"area.":[60],"Through":[61],"statistical":[62],"analysis":[63,96],"NEO":[65,123],"coefficients,":[66],"number":[68,75],"computations":[70],"minimized":[72],"registers":[77],"shown":[79,109],"be":[81],"as":[82,84],"low":[83],"one":[85],"per":[86],"channel":[87],"without":[88],"degenerating":[89],"performance.":[92],"Based":[93],"power-area":[99,118],"tradeoff,":[100],"optimal":[102],"16-channel":[103],"interleaved":[104],"architecture":[105],"presented":[107],"achieve":[111],"factor":[113],"4":[115],"improvement":[116],"in":[117],"product":[119],"compared":[120],"reported":[122],"implementations.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
