{"id":"https://openalex.org/W2590500368","doi":"https://doi.org/10.1109/icci-cc.2016.7862055","title":"Robotic implementation of classical and operant conditioning within a single SNN architecture","display_name":"Robotic implementation of classical and operant conditioning within a single SNN architecture","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2590500368","doi":"https://doi.org/10.1109/icci-cc.2016.7862055","mag":"2590500368"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2016.7862055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)","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/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":true,"raw_author_name":"Etienne Dumesnil","raw_affiliation_strings":["Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM)","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)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM)","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)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM)","institution_ids":["https://openalex.org/I159129438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058501442"],"corresponding_institution_ids":["https://openalex.org/I159129438"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17215945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"322","last_page":"330"},"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":0.9998999834060669,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/operant-conditioning","display_name":"Operant conditioning","score":0.8303407430648804},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.8040162324905396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7172685861587524},{"id":"https://openalex.org/keywords/classical-conditioning","display_name":"Classical conditioning","score":0.5451050400733948},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.48612284660339355},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.4713546633720398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46934568881988525},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4445212185382843},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.43680596351623535},{"id":"https://openalex.org/keywords/conditioning","display_name":"Conditioning","score":0.43220871686935425},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43117061257362366},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3289480209350586},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.16007104516029358},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1294763684272766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08960962295532227}],"concepts":[{"id":"https://openalex.org/C163270606","wikidata":"https://www.wikidata.org/wiki/Q847079","display_name":"Operant conditioning","level":3,"score":0.8303407430648804},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.8040162324905396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172685861587524},{"id":"https://openalex.org/C39617858","wikidata":"https://www.wikidata.org/wiki/Q212737","display_name":"Classical conditioning","level":3,"score":0.5451050400733948},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.48612284660339355},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.4713546633720398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46934568881988525},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4445212185382843},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.43680596351623535},{"id":"https://openalex.org/C45262634","wikidata":"https://www.wikidata.org/wiki/Q5159291","display_name":"Conditioning","level":2,"score":0.43220871686935425},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43117061257362366},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3289480209350586},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.16007104516029358},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1294763684272766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08960962295532227},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icci-cc.2016.7862055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"},{"id":"mag:2749687784","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201702231376245868","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1593091270","https://openalex.org/W1996847178","https://openalex.org/W2088150318","https://openalex.org/W2093071448","https://openalex.org/W2107433900","https://openalex.org/W2122410182","https://openalex.org/W2518386427","https://openalex.org/W2555477762","https://openalex.org/W4238614602"],"related_works":["https://openalex.org/W2542565870","https://openalex.org/W4306175885","https://openalex.org/W114122192","https://openalex.org/W4391232523","https://openalex.org/W4312604567","https://openalex.org/W4387390134","https://openalex.org/W3126544799","https://openalex.org/W2165312143","https://openalex.org/W4251092571","https://openalex.org/W3110622310"],"abstract_inverted_index":{"This":[0,74],"work":[1],"presents":[2],"the":[3,24,32,49,62,95,107,127,133],"implementation":[4],"of":[5,27,44,70,94,148],"operant":[6],"conditioning":[7,11],"(OC)":[8],"and":[9,56,68,122,126],"classical":[10],"(CC)":[12],"with":[13,81,116,145],"a":[14,41,53,71,103,114,151,157],"single":[15],"spiking":[16],"neural":[17],"network":[18],"(SNN)":[19],"architecture,":[20],"thus":[21],"suggesting":[22],"that":[23],"two":[25],"types":[26],"leaning":[28],"may":[29],"relate":[30],"to":[31,85,160],"same":[33],"cognitive":[34],"process.":[35],"Both":[36],"are":[37],"achieved":[38],"by":[39,106,163],"using":[40,91],"modified":[42],"version":[43],"spike-timing-dependent":[45],"plasticity":[46],"(STDP),":[47],"where":[48],"connection":[50],"weight":[51],"between":[52,65],"cue":[54],"neuron":[55,59,99],"an":[57,87,92],"action":[58],"depends":[60],"on":[61],"temporal":[63],"relation":[64],"their":[66],"spikes":[67],"those":[69],"reward":[72,75],"neuron.":[73],"driven":[76,105],"STDP":[77],"(RD-STDP)":[78],"was":[79,111],"implemented":[80],"simple":[82,128],"computational":[83,129],"resources":[84,130],"form":[86],"electronic":[88],"robot's":[89],"brain,":[90],"adaptation":[93,149],"synapto-dendritic":[96],"kernel":[97],"adapting":[98],"(SKAN)":[100],"model.":[101],"Then,":[102],"robot":[104],"new":[108],"neuronal":[109],"architecture":[110,135],"tested":[112],"in":[113,150],"maze":[115],"changing":[117],"features,":[118],"successfully":[119],"exhibiting":[120],"CC":[121],"OC.":[123],"These":[124],"results":[125],"used":[131],"make":[132],"proposed":[134],"promising":[136],"for":[137],"very":[138],"large":[139],"scale":[140],"time-dependent":[141],"parallel":[142],"data":[143],"analysis,":[144],"high":[146],"capacity":[147],"dynamic":[152],"environment.":[153],"Moreover,":[154],"it":[155],"proposes":[156],"theoretic":[158],"framework":[159],"model":[161],"learning":[162],"conditioning.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
