{"id":"https://openalex.org/W4400943733","doi":"https://doi.org/10.1109/tcsi.2024.3431588","title":"Neuromorphic Circuit of Classical and Operant Conditioning Based on Tunable Neural Circuitry Motifs","display_name":"Neuromorphic Circuit of Classical and Operant Conditioning Based on Tunable Neural Circuitry Motifs","publication_year":2024,"publication_date":"2024-07-24","ids":{"openalex":"https://openalex.org/W4400943733","doi":"https://doi.org/10.1109/tcsi.2024.3431588"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2024.3431588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2024.3431588","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-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/A5103141223","display_name":"Mei Guo","orcid":"https://orcid.org/0000-0003-3002-9368"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Guo","raw_affiliation_strings":["College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-3002-9368","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065840547","display_name":"Lingtong Kong","orcid":"https://orcid.org/0009-0003-9648-4395"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingtong Kong","raw_affiliation_strings":["College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0003-9648-4395","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080796334","display_name":"Gang Dou","orcid":"https://orcid.org/0000-0002-2631-1734"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Dou","raw_affiliation_strings":["College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-2631-1734","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017703480","display_name":"Herbert Ho\u2010Ching Iu","orcid":"https://orcid.org/0000-0002-0687-4038"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Herbert Ho-Ching Iu","raw_affiliation_strings":["School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0687-4038","affiliations":[{"raw_affiliation_string":"School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8429,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95570601,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"71","issue":"10","first_page":"4676","last_page":"4688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9715999960899353,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9715999960899353,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.916100025177002,"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":0.872902512550354},{"id":"https://openalex.org/keywords/operant-conditioning","display_name":"Operant conditioning","score":0.770400881767273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4682741165161133},{"id":"https://openalex.org/keywords/classical-conditioning","display_name":"Classical conditioning","score":0.44129347801208496},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43053731322288513},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.41465187072753906},{"id":"https://openalex.org/keywords/conditioning","display_name":"Conditioning","score":0.4093337655067444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29561638832092285},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2782650291919708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1465124487876892},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.08797857165336609}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.872902512550354},{"id":"https://openalex.org/C163270606","wikidata":"https://www.wikidata.org/wiki/Q847079","display_name":"Operant conditioning","level":3,"score":0.770400881767273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4682741165161133},{"id":"https://openalex.org/C39617858","wikidata":"https://www.wikidata.org/wiki/Q212737","display_name":"Classical conditioning","level":3,"score":0.44129347801208496},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43053731322288513},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.41465187072753906},{"id":"https://openalex.org/C45262634","wikidata":"https://www.wikidata.org/wiki/Q5159291","display_name":"Conditioning","level":2,"score":0.4093337655067444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29561638832092285},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2782650291919708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1465124487876892},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.08797857165336609},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsi.2024.3431588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2024.3431588","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/d9f7bc8f-fe01-4d50-91de-daa48bc3beb8","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/d9f7bc8f-fe01-4d50-91de-daa48bc3beb8","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Guo, M, Kong, L, Dou, G & Iu, H H C 2024, 'Neuromorphic Circuit of Classical and Operant Conditioning Based on Tunable Neural Circuitry Motifs', IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 71, no. 10, pp. 4676-4688. https://doi.org/10.1109/TCSI.2024.3431588","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G3152253029","display_name":null,"funder_award_id":"62176143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6746616474","display_name":null,"funder_award_id":"ZR2022MF225","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7550618725","display_name":null,"funder_award_id":"ZR2021MF001","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1578783943","https://openalex.org/W1982473807","https://openalex.org/W1982630937","https://openalex.org/W1988878611","https://openalex.org/W2008901850","https://openalex.org/W2047784337","https://openalex.org/W2050676600","https://openalex.org/W2093071448","https://openalex.org/W2112181056","https://openalex.org/W2129610161","https://openalex.org/W2162651880","https://openalex.org/W2269602391","https://openalex.org/W2331437931","https://openalex.org/W2510112518","https://openalex.org/W2519347890","https://openalex.org/W2587351061","https://openalex.org/W2599944644","https://openalex.org/W2762731122","https://openalex.org/W2779777546","https://openalex.org/W2785141883","https://openalex.org/W2884136970","https://openalex.org/W2891281574","https://openalex.org/W2983464142","https://openalex.org/W2990284936","https://openalex.org/W2998412226","https://openalex.org/W3081140267","https://openalex.org/W3099086962","https://openalex.org/W3174407341","https://openalex.org/W3179411765","https://openalex.org/W3181301020","https://openalex.org/W3197839114","https://openalex.org/W3198215373","https://openalex.org/W3202236723","https://openalex.org/W4280550359","https://openalex.org/W4289823359","https://openalex.org/W4293211510","https://openalex.org/W4294891451","https://openalex.org/W4306912784","https://openalex.org/W4312597255","https://openalex.org/W4321609308","https://openalex.org/W4368374326","https://openalex.org/W4386319526","https://openalex.org/W4387385763","https://openalex.org/W4388068775","https://openalex.org/W4394805075"],"related_works":["https://openalex.org/W114122192","https://openalex.org/W4231562957","https://openalex.org/W96406935","https://openalex.org/W2007286834","https://openalex.org/W3201246775","https://openalex.org/W2039434275","https://openalex.org/W2483625864","https://openalex.org/W1989069443","https://openalex.org/W2017554107","https://openalex.org/W4241984059"],"abstract_inverted_index":{"Most":[0],"memristive":[1],"bionic":[2,9],"circuits":[3,151],"focus":[4],"on":[5,69],"how":[6],"to":[7,27,105,142,178],"realize":[8],"functions,":[10,64,161],"few":[11],"studies":[12],"consider":[13],"the":[14,17,79,95,107,114,123,131,138,149,159],"biomimetic":[15],"of":[16,116,133,140,148],"circuit":[18,43,53,71,80,96],"structure":[19,62],"and":[20,30,63,92,100,118,135,137,167,181],"operation":[21],"rules,":[22],"so":[23],"it":[24],"is":[25,50,54,66],"difficult":[26],"learn,":[28],"memorize,":[29],"make":[31],"decisions":[32],"as":[33,86,130],"biological":[34,58],"neural":[35,47,70,76],"networks.":[36],"In":[37,121],"this":[38],"work,":[39],"a":[40],"multifunctional":[41],"neuromorphic":[42],"inspired":[44],"by":[45,113],"tunable":[46],"circuitry":[48,77],"motifs":[49],"proposed.":[51],"The":[52,145],"more":[55],"closely":[56],"with":[57],"characteristics":[59],"in":[60,103,152,165,174,183],"both":[61],"which":[65,110,162],"designed":[67],"based":[68],"architectures.":[72],"By":[73],"connecting":[74],"different":[75],"motifs,":[78],"realizes":[81],"operant":[82,101],"conditioning":[83,99,102],"functions":[84],"such":[85,129],"random":[87],"exploration,":[88],"behavioral":[89],"frequency":[90],"modulation,":[91],"decision-making.":[93],"Also,":[94],"integrated":[97],"classical":[98],"order":[104],"mimic":[106,158],"decision-making":[108,126],"process,":[109],"was":[111],"driven":[112],"association":[115],"secondary":[117],"primary":[119],"stimuli.":[120],"addition,":[122],"factors":[124],"influencing":[125],"are":[127],"researched,":[128],"rates":[132],"learning":[134],"forgetting,":[136],"conversion":[139],"short-term":[141],"long-term":[143],"memory.":[144],"operational":[146],"results":[147],"proposed":[150],"LTspice":[153],"show":[154],"that":[155],"they":[156],"can":[157,171],"aforementioned":[160],"have":[163],"advantages":[164],"bionicity":[166],"scalability.":[168],"This":[169],"work":[170],"be":[172],"applied":[173],"intelligent":[175],"robotic":[176],"platforms":[177],"achieve":[179],"exploration":[180],"rescue":[182],"complex":[184],"environments.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
