{"id":"https://openalex.org/W4312939410","doi":"https://doi.org/10.1109/iscas48785.2022.9937826","title":"Subthreshold CMOS Implementation of the Izhikevich Neuron Model","display_name":"Subthreshold CMOS Implementation of the Izhikevich Neuron Model","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312939410","doi":"https://doi.org/10.1109/iscas48785.2022.9937826"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937826","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5071747516","display_name":"Karthi Srinivasan","orcid":"https://orcid.org/0009-0005-0599-2111"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Karthi Srinivasan","raw_affiliation_strings":["Indian Institute of Technology Madras,Dept. of Electrical Engineering,Chennai,India","Dept. of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Dept. of Electrical Engineering,Chennai,India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059648203","display_name":"Glenn Cowan","orcid":"https://orcid.org/0000-0003-0889-6633"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Glenn Cowan","raw_affiliation_strings":["Concordia University,Dept. of Electrical and Computer Engineering,Montreal,Canada","Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Dept. of Electrical and Computer Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071747516"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":2.5779,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91812674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1062","last_page":"1066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9961000084877014,"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/subthreshold-conduction","display_name":"Subthreshold conduction","score":0.7151559591293335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6557824015617371},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.63327956199646},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.6274852156639099},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5542183518409729},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5378317832946777},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.4485465884208679},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.43743225932121277},{"id":"https://openalex.org/keywords/transceiver","display_name":"Transceiver","score":0.41767922043800354},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4135238826274872},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3505898714065552},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.30294644832611084},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2845686674118042},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.28071364760398865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17412251234054565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1456041932106018}],"concepts":[{"id":"https://openalex.org/C156465305","wikidata":"https://www.wikidata.org/wiki/Q1658601","display_name":"Subthreshold conduction","level":4,"score":0.7151559591293335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6557824015617371},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.63327956199646},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.6274852156639099},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5542183518409729},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5378317832946777},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.4485465884208679},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.43743225932121277},{"id":"https://openalex.org/C7720470","wikidata":"https://www.wikidata.org/wiki/Q954187","display_name":"Transceiver","level":3,"score":0.41767922043800354},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4135238826274872},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3505898714065552},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.30294644832611084},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2845686674118042},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.28071364760398865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17412251234054565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1456041932106018},{"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/iscas48785.2022.9937826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937826","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1969067576","https://openalex.org/W1985940938","https://openalex.org/W1994020062","https://openalex.org/W2026883296","https://openalex.org/W2046450149","https://openalex.org/W2108519747","https://openalex.org/W2138913040","https://openalex.org/W2157239334","https://openalex.org/W2161533297","https://openalex.org/W2163630896","https://openalex.org/W2164653071","https://openalex.org/W2276486856","https://openalex.org/W2767640945","https://openalex.org/W2783525259","https://openalex.org/W2801975254","https://openalex.org/W2907149254","https://openalex.org/W2972458808","https://openalex.org/W3047361119"],"related_works":["https://openalex.org/W4312758442","https://openalex.org/W4294786480","https://openalex.org/W2954378401","https://openalex.org/W2906832317","https://openalex.org/W3193658381","https://openalex.org/W3173811951","https://openalex.org/W4213027945","https://openalex.org/W2999805574","https://openalex.org/W3121094983","https://openalex.org/W4312939410"],"abstract_inverted_index":{"Neuromorphic":[0],"computing":[1],"seeks":[2],"to":[3,10,31,37,42,44,104],"build":[4],"hardware":[5],"systems":[6,18],"that":[7,117],"are":[8,19],"similar":[9],"the":[11,45,48,61,67,78],"brain":[12],"in":[13,77],"form":[14],"and":[15,24,72,95,123],"function.":[16],"Such":[17],"composed":[20],"of":[21,27,47,60,99],"artificial":[22],"neurons":[23],"synapses,":[25],"both":[26],"which":[28],"will":[29],"have":[30],"operate":[32],"with":[33,119],"extreme":[34],"energy":[35],"efficiency":[36],"allow":[38],"spiking":[39,107],"neural":[40],"networks":[41],"scale":[43],"size":[46],"brain.":[49],"In":[50],"this":[51],"work,":[52],"we":[53],"present":[54],"such":[55],"a":[56,85,92],"low-power":[57],"subthreshold":[58],"implementation":[59],"Izhikevich":[62],"neuron":[63],"model,":[64],"inspired":[65],"by":[66,70],"circuit":[68,110],"introduced":[69],"Wijekoon":[71],"Dudek.":[73],"The":[74,109],"circuit,":[75],"designed":[76],"UMC":[79],"65nm":[80],"process,":[81],"consumes":[82],"11.74fJ/spike":[83],"at":[84],"0.18V":[86],"supply":[87],"voltage,":[88],"while":[89],"operating":[90],"on":[91],"biological":[93],"timescale":[94],"allowing":[96],"analog":[97],"tunability":[98],"control":[100],"voltages":[101],"so":[102],"as":[103],"exhibit":[105],"different":[106],"behaviors.":[108],"comprises":[111],"an":[112],"integrated":[113],"digital":[114],"spike":[115],"transceiver":[116],"communicates":[118],"AER":[120],"arbitration":[121],"circuitry":[122],"generates":[124],"reset":[125],"pulses.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}