{"id":"https://openalex.org/W1913527355","doi":"https://doi.org/10.1109/ecctd.2015.7300005","title":"Power-efficient estimation of silicon neuron firing rates with floating-gate transistors","display_name":"Power-efficient estimation of silicon neuron firing rates with floating-gate transistors","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1913527355","doi":"https://doi.org/10.1109/ecctd.2015.7300005","mag":"1913527355"},"language":"en","primary_location":{"id":"doi:10.1109/ecctd.2015.7300005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2015.7300005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 European Conference on Circuit Theory and Design (ECCTD)","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/A5089127443","display_name":"Stephen Nease","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Stephen Nease","raw_affiliation_strings":["Center of Excellence Cognitive Interaction Technology, Universit\u00e4t Bielefeld, Bielefeld, Germany"],"affiliations":[{"raw_affiliation_string":"Center of Excellence Cognitive Interaction Technology, Universit\u00e4t Bielefeld, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000763047","display_name":"Elisabetta Chicca","orcid":"https://orcid.org/0000-0002-5518-8990"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elisabetta Chicca","raw_affiliation_strings":["Center of Excellence Cognitive Interaction Technology, Universit\u00e4t Bielefeld, Bielefeld, Germany"],"affiliations":[{"raw_affiliation_string":"Center of Excellence Cognitive Interaction Technology, Universit\u00e4t Bielefeld, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089127443"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":null,"apc_paid":null,"fwci":0.2005,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57845408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"4"},"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/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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.6937562823295593},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.6610932350158691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5645908713340759},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5102601051330566},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.4993267059326172},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.45072224736213684},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.39571624994277954},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3667040467262268},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3267441391944885},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2952495813369751},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19618743658065796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17925328016281128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14950093626976013},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07376047968864441}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.6937562823295593},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.6610932350158691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5645908713340759},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5102601051330566},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.4993267059326172},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.45072224736213684},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39571624994277954},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3667040467262268},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3267441391944885},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2952495813369751},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19618743658065796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17925328016281128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14950093626976013},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07376047968864441},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ecctd.2015.7300005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2015.7300005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 European Conference on Circuit Theory and Design (ECCTD)","raw_type":"proceedings-article"},{"id":"pmh:oai:pub.librecat.org:2757270","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2757270","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nease S, Chicca E. Power-Efficient Estimation of Silicon Neuron Firing Rates with Floating-Gate Transistors. In:  <em>Circuit Theory and Design (ECCTD), 2015 European Conference on</em>. Trondheim, Norway;  2015: 1-4.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:rug:oai:pure.rug.nl:publications/b6b36919-37ca-40a7-ba58-865a981e73b4","is_oa":false,"landing_page_url":"https://research.rug.nl/en/publications/powerefficient-estimation-of-silicon-neuron-firing-rates-with-floatinggate-transistors(b6b36919-37ca-40a7-ba58-865a981e73b4).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2015 European Conference on Circuit Theory and Design (ECCTD), 1 - 4","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"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":21,"referenced_works":["https://openalex.org/W1482683088","https://openalex.org/W1498101568","https://openalex.org/W1514853588","https://openalex.org/W1578671836","https://openalex.org/W1975412204","https://openalex.org/W1980584607","https://openalex.org/W1982965615","https://openalex.org/W1998927941","https://openalex.org/W2007804041","https://openalex.org/W2031842274","https://openalex.org/W2034602202","https://openalex.org/W2079826846","https://openalex.org/W2084179321","https://openalex.org/W2101387899","https://openalex.org/W2103594871","https://openalex.org/W2105090981","https://openalex.org/W2156640153","https://openalex.org/W2160361560","https://openalex.org/W2161432648","https://openalex.org/W3151328790","https://openalex.org/W6675388682"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4387251107","https://openalex.org/W1985010875","https://openalex.org/W1987591823","https://openalex.org/W2588941787"],"abstract_inverted_index":{"Many":[0],"subsystems":[1],"in":[2],"the":[3,46,78],"brain":[4],"require":[5],"an":[6],"estimate":[7],"of":[8,17,92],"neural":[9,18],"activity":[10],"to":[11,65],"function":[12],"properly.":[13],"For":[14],"example,":[15],"models":[16],"homeostasis":[19],"and":[20,54,70,99],"synaptic":[21],"plasticity":[22],"incorporate":[23],"these":[24],"estimates.":[25],"In":[26],"this":[27,66,93],"paper":[28],"we":[29],"present":[30],"a":[31,35,59],"method":[32],"for":[33,45,51],"estimating":[34],"neuromorphic":[36],"neuron's":[37],"firing":[38],"rate":[39,52,67],"using":[40],"floating-gate":[41,81],"transistors,":[42],"which":[43],"allow":[44],"long":[47],"time":[48],"constants":[49],"required":[50],"estimation":[53],"homeostatic":[55],"plasticity.":[56],"We":[57,74],"simulate":[58],"modified":[60],"leaky":[61],"integrate-and-fire":[62],"neuron":[63],"connected":[64],"detection":[68],"circuit":[69],"characterize":[71],"its":[72],"response.":[73],"also":[75],"show":[76],"that":[77],"circuit's":[79],"steady-state":[80],"voltages":[82],"yield":[83],"lower":[84],"currents":[85],"than":[86],"similar":[87],"methods.":[88],"The":[89],"primary":[90],"benefits":[91],"scheme":[94],"are":[95],"low":[96],"power":[97],"consumption":[98],"compactness.":[100]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}