{"id":"https://openalex.org/W1810901590","doi":"https://doi.org/10.1109/iscas.2002.1010777","title":"Biological learning modeled in an adaptive floating-gate system","display_name":"Biological learning modeled in an adaptive floating-gate system","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1810901590","doi":"https://doi.org/10.1109/iscas.2002.1010777","mag":"1810901590"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2002.1010777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2002.1010777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)","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/A5039177635","display_name":"Christal Gordon","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":"C. Gordon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","[Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105781337","display_name":"P. Hasler","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":"P. Hasler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","[Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA]","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":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"V","last_page":"609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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":0.9997000098228455,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"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/hebbian-theory","display_name":"Hebbian theory","score":0.9039171934127808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860747337341309},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.6485130786895752},{"id":"https://openalex.org/keywords/synaptic-weight","display_name":"Synaptic weight","score":0.6029456853866577},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5467031598091125},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.45847490429878235},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4219495356082916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38584598898887634},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3698923587799072},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13719692826271057},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0916246771812439}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.9039171934127808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860747337341309},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.6485130786895752},{"id":"https://openalex.org/C66949984","wikidata":"https://www.wikidata.org/wiki/Q7662043","display_name":"Synaptic weight","level":3,"score":0.6029456853866577},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5467031598091125},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.45847490429878235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4219495356082916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38584598898887634},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3698923587799072},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13719692826271057},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0916246771812439},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"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.2002.1010777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2002.1010777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)","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":20,"referenced_works":["https://openalex.org/W97268706","https://openalex.org/W1535967715","https://openalex.org/W1578671836","https://openalex.org/W1589549454","https://openalex.org/W1660212387","https://openalex.org/W1988878611","https://openalex.org/W2051385641","https://openalex.org/W2084179321","https://openalex.org/W2089809945","https://openalex.org/W2097922596","https://openalex.org/W2099579346","https://openalex.org/W2113017564","https://openalex.org/W2117395961","https://openalex.org/W2134682148","https://openalex.org/W2144325744","https://openalex.org/W2160591769","https://openalex.org/W3148499377","https://openalex.org/W4240701545","https://openalex.org/W6674987031","https://openalex.org/W6679767691"],"related_works":["https://openalex.org/W2051145955","https://openalex.org/W1530541224","https://openalex.org/W3110559181","https://openalex.org/W1520894008","https://openalex.org/W1810901590","https://openalex.org/W2170201788","https://openalex.org/W2128378732","https://openalex.org/W4308094877","https://openalex.org/W3151298481","https://openalex.org/W2070649993"],"abstract_inverted_index":{"We":[0,62,113],"have":[1],"implemented":[2],"an":[3],"aspect":[4],"of":[5,94],"learning":[6,117,128],"and":[7,57,107,120,135],"memory":[8],"in":[9],"the":[10,33,52,91],"nervous":[11],"system":[12,77],"using":[13],"analog":[14],"electronics.":[15],"Using":[16,90],"a":[17],"simple":[18,67],"synaptic":[19,31,34,47,55],"circuit":[20],"we":[21,99],"realize":[22],"networks":[23],"with":[24,45],"Hebbian":[25],"type":[26],"adaptation":[27],"rules.":[28],"With":[29],"increased":[30,37],"activity,":[32],"weights":[35],"are":[36,100],"or":[38,42],"decreased.":[39],"That":[40],"increase":[41],"decrease":[43],"continues":[44],"subsequent":[46],"activity.":[48],"This":[49,76],"paper":[50],"explores":[51],"relationship":[53],"between":[54],"activity":[56],"weight":[58],"for":[59],"various":[60],"inputs":[61],"will":[63],"use":[64],"our":[65,95,116],"relatively":[66],"network":[68],"to":[69,79,102,132],"bootstrap":[70],"into":[71,82],"larger,":[72],"more":[73],"complex":[74],"systems.":[75],"helps":[78],"provide":[80],"insight":[81],"intricate":[83],"natural":[84],"designs,":[85],"such":[86],"as":[87],"cerebellar":[88],"cortex.":[89],"physical":[92],"properties":[93,104],"floating-gate":[96],"pFET":[97],"device,":[98],"able":[101],"re-establish":[103],"seen":[105],"previously":[106],"build":[108],"upon":[109],"these":[110],"first":[111],"steps.":[112],"can":[114],"modify":[115],"rule":[118,129],"rates":[119],"dynamics":[121],"through":[122],"capacitively":[123],"coupled":[124],"input":[125],"voltages.":[126],"Our":[127],"has":[130],"connections":[131],"reinforced":[133],"learning,":[134],"therefore":[136],"may":[137],"find":[138],"useful":[139],"engineering":[140],"applications.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
