{"id":"https://openalex.org/W2942905598","doi":"https://doi.org/10.1109/iscas.2019.8702739","title":"Dynamic Systems Approach to Improve the Design of a Phenomenological Analog Neuron Circuit","display_name":"Dynamic Systems Approach to Improve the Design of a Phenomenological Analog Neuron Circuit","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2942905598","doi":"https://doi.org/10.1109/iscas.2019.8702739","mag":"2942905598"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2019.8702739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5065890313","display_name":"Hongzhi You","orcid":"https://orcid.org/0000-0003-0788-8455"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongzhi You","raw_affiliation_strings":["Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065890313"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02923004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9998000264167786,"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":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.6518304944038391},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.5673261880874634},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.5431877374649048},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.5132098197937012},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5061261057853699},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.503703773021698},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47063112258911133},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.43326032161712646},{"id":"https://openalex.org/keywords/circuit-design","display_name":"Circuit design","score":0.4329172968864441},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.32538408041000366},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2724294662475586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2274629771709442},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.20054054260253906},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.19632616639137268},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1368032991886139},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12262505292892456},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11364594101905823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518304944038391},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.5673261880874634},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.5431877374649048},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.5132098197937012},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5061261057853699},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.503703773021698},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47063112258911133},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.43326032161712646},{"id":"https://openalex.org/C190560348","wikidata":"https://www.wikidata.org/wiki/Q3245116","display_name":"Circuit design","level":2,"score":0.4329172968864441},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.32538408041000366},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2724294662475586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2274629771709442},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.20054054260253906},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19632616639137268},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1368032991886139},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12262505292892456},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11364594101905823},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2019.8702739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1566907904","https://openalex.org/W1975398991","https://openalex.org/W1978477191","https://openalex.org/W1995045807","https://openalex.org/W2098221167","https://openalex.org/W2120663306","https://openalex.org/W2121917196","https://openalex.org/W2140281076","https://openalex.org/W2142400900","https://openalex.org/W2156640153","https://openalex.org/W2157926305","https://openalex.org/W2167697781","https://openalex.org/W2168998384","https://openalex.org/W2566193534","https://openalex.org/W2587722835","https://openalex.org/W4243832265"],"related_works":["https://openalex.org/W2389800961","https://openalex.org/W1995389502","https://openalex.org/W3178259930","https://openalex.org/W1769982787","https://openalex.org/W3184949856","https://openalex.org/W3035839890","https://openalex.org/W2076468557","https://openalex.org/W2031806409","https://openalex.org/W4281997648","https://openalex.org/W4387066885"],"abstract_inverted_index":{"Silicon":[0],"neuron":[1,18,63,91],"circuits":[2],"emulate":[3],"the":[4,23,42,88],"electrophysiological":[5],"behavior":[6],"of":[7,25,44,54,81,90],"real":[8],"neurons":[9],"and":[10],"conductances.":[11],"A":[12],"detailed":[13,38],"model":[14,40],"mapped":[15],"onto":[16],"silicon":[17,48],"can":[19],"be":[20],"beneficial":[21],"to":[22,35,79],"improvement":[24,89],"circuit":[26],"design.":[27],"Here":[28],"we":[29],"present":[30],"a":[31,37,45,67],"dynamic":[32],"systems":[33],"approach":[34],"obtain":[36],"mathematical":[39],"describing":[41],"dynamics":[43],"biophysically":[46],"realistic":[47],"neuron.":[49],"The":[50],"approximate":[51],"analytic":[52],"solution":[53],"its":[55],"firing":[56,82],"rate":[57],"fits":[58],"simulation":[59],"data":[60],"from":[61],"our":[62],"chip":[64],"fabricated":[65],"using":[66],"130":[68],"nm":[69],"CMOS":[70],"process":[71],"very":[72],"well.":[73],"Meanwhile,":[74],"transistors":[75],"that":[76],"contribute":[77],"critically":[78],"variation":[80],"activities":[83],"are":[84],"discovered,":[85],"which":[86],"helps":[87],"mismatch.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}