{"id":"https://openalex.org/W2518386427","doi":"https://doi.org/10.1109/iscas.2016.7539100","title":"FPGA minimal components SKAN model for classical and operant conditioning","display_name":"FPGA minimal components SKAN model for classical and operant conditioning","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2518386427","doi":"https://doi.org/10.1109/iscas.2016.7539100","mag":"2518386427"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2016.7539100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7539100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5058501442","display_name":"Etienne Dumesnil","orcid":null},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Etienne Dumesnil","raw_affiliation_strings":["Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM), Montreal, Canada","institution_ids":["https://openalex.org/I159129438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058485622","display_name":"Philippe-Olivier Beaulieu","orcid":null},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Philippe-Olivier Beaulieu","raw_affiliation_strings":["Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM), Montreal, Canada","institution_ids":["https://openalex.org/I159129438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057702106","display_name":"Mounir Boukadoum","orcid":"https://orcid.org/0000-0002-4894-2350"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mounir Boukadoum","raw_affiliation_strings":["Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM), Montreal, Canada","institution_ids":["https://openalex.org/I159129438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159129438"],"apc_list":null,"apc_paid":null,"fwci":2.0181,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85412141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2499","last_page":"2502"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9993000030517578,"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/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.799281895160675},{"id":"https://openalex.org/keywords/operant-conditioning","display_name":"Operant conditioning","score":0.7850978374481201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681333065032959},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5621046423912048},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5611203908920288},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.524729311466217},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5115926861763},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4696233570575714},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4609193801879883},{"id":"https://openalex.org/keywords/conditioning","display_name":"Conditioning","score":0.41185104846954346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3481021821498871},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2949468493461609},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1250019371509552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06633827090263367}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.799281895160675},{"id":"https://openalex.org/C163270606","wikidata":"https://www.wikidata.org/wiki/Q847079","display_name":"Operant conditioning","level":3,"score":0.7850978374481201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681333065032959},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5621046423912048},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5611203908920288},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.524729311466217},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5115926861763},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4696233570575714},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4609193801879883},{"id":"https://openalex.org/C45262634","wikidata":"https://www.wikidata.org/wiki/Q5159291","display_name":"Conditioning","level":2,"score":0.41185104846954346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3481021821498871},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2949468493461609},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1250019371509552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06633827090263367},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2016.7539100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7539100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1996847178","https://openalex.org/W2003653926","https://openalex.org/W2080333131","https://openalex.org/W2088150318","https://openalex.org/W2093071448"],"related_works":["https://openalex.org/W601041542","https://openalex.org/W2588683318","https://openalex.org/W4250393406","https://openalex.org/W2332738000","https://openalex.org/W4231562957","https://openalex.org/W96406935","https://openalex.org/W2483625864","https://openalex.org/W4241984059","https://openalex.org/W2239959725","https://openalex.org/W1999185412"],"abstract_inverted_index":{"We":[0],"show":[1],"how":[2],"a":[3,59,73,77,109],"minimal":[4],"components":[5],"requirement":[6],"and":[7,44,94,118],"very":[8],"low":[9],"resource":[10],"demanding":[11],"field-programmable":[12],"gate":[13],"array":[14],"(FPGA)":[15],"implementation":[16],"of":[17,21,35],"an":[18],"adapted":[19,53,91],"version":[20],"the":[22,36,49,99],"synapto-dendritic":[23],"Kernel":[24],"Adapting":[25],"Neuron":[26],"(SKAN)":[27],"model":[28,55,93],"can":[29],"be":[30],"used":[31,57],"to":[32,64,71],"underlie":[33],"two":[34],"most":[37],"basic":[38],"learning":[39,80,120],"processes:":[40],"classical":[41],"conditioning":[42,46],"(CC)":[43],"operant":[45],"(OC).":[47],"In":[48],"CC":[50,86,117],"architecture,":[51,76,87,90],"this":[52],"SKAN":[54,92],"is":[56,82],"in":[58,69,115],"spiking":[60],"neural":[61],"network":[62],"(SNN)":[63],"implement":[65],"spike-timing-dependant-plasticity":[66],"(STDP).":[67],"However,":[68],"order":[70],"achieve":[72],"functioning":[74],"OC":[75,89,119],"new":[78,88,95],"STDP-inspired":[79,96],"process":[81,97],"introduced.":[83],"The":[84],"modified":[85],"represent":[98],"four":[100],"contributions":[101],"presented":[102],"here,":[103],"along":[104],"with":[105],"simulation":[106],"results":[107],"on":[108],"FPGA":[110],"which":[111],"shows":[112],"their":[113],"adequacy":[114],"supporting":[116],"behaviors.":[121]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}