{"id":"https://openalex.org/W2041769044","doi":"https://doi.org/10.1109/ijcnn.1990.137850","title":"Learning in asymptotically behaving neural networks","display_name":"Learning in asymptotically behaving neural networks","publication_year":1990,"publication_date":"1990-01-01","ids":{"openalex":"https://openalex.org/W2041769044","doi":"https://doi.org/10.1109/ijcnn.1990.137850","mag":"2041769044"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.1990.137850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1990.137850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1990 IJCNN International Joint Conference on Neural Networks","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/A5051681787","display_name":"N.J. Dimopoulos","orcid":"https://orcid.org/0000-0003-0415-8852"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"N.J. Dimopoulos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072312935","display_name":"D. Radvan","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"D. Radvan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002915388","display_name":"W.A. Keddy","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"W.A. Keddy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051681787"],"corresponding_institution_ids":["https://openalex.org/I212119943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15242121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"238 vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9955999851226807,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8341377973556519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6931667923927307},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6834900379180908},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6521957516670227},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.593719482421875},{"id":"https://openalex.org/keywords/stability-theory","display_name":"Stability theory","score":0.47199252247810364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4427162706851959},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.42305901646614075},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.417458176612854},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.30713191628456116},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.17402681708335876}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.8341377973556519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931667923927307},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6834900379180908},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6521957516670227},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.593719482421875},{"id":"https://openalex.org/C41949839","wikidata":"https://www.wikidata.org/wiki/Q1756677","display_name":"Stability theory","level":3,"score":0.47199252247810364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4427162706851959},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.42305901646614075},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.417458176612854},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.30713191628456116},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.17402681708335876},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.1990.137850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1990.137850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1990 IJCNN International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W184181379","https://openalex.org/W1489965517","https://openalex.org/W1582681335","https://openalex.org/W1977827719","https://openalex.org/W1988913649","https://openalex.org/W2062210787","https://openalex.org/W2094713153","https://openalex.org/W2112246162","https://openalex.org/W2128084896","https://openalex.org/W2155051950","https://openalex.org/W2595118313","https://openalex.org/W3151137867","https://openalex.org/W4251731575","https://openalex.org/W6734408125"],"related_works":["https://openalex.org/W2019283726","https://openalex.org/W1991841905","https://openalex.org/W2078098917","https://openalex.org/W1618190107","https://openalex.org/W1525325138","https://openalex.org/W3102322688","https://openalex.org/W4293380851","https://openalex.org/W1993110512","https://openalex.org/W1490081714","https://openalex.org/W2373874059"],"abstract_inverted_index":{"The":[0,87],"authors":[1,42],"present":[2],"results":[3],"of":[4,12,46,49,100],"attempts":[5],"to":[6,19,28,63,75],"introduce":[7,54],"learning":[8,57],"for":[9,97],"a":[10,55,77],"class":[11,48,82],"neural":[13,52],"networks":[14],"that":[15,24,59,93],"has":[16],"been":[17],"proven":[18],"be":[20,26,61],"asymptotically":[21,50],"stable":[22],"and":[23,68,71,89],"can":[25,60],"used":[27,62],"model":[29],"several":[30],"existing":[31],"structures":[32],"in":[33,83],"the":[34,41,44,66,98],"central":[35],"nervous":[36],"system":[37],"(e.g.,":[38],"cerebellum).":[39],"Specifically,":[40],"discuss":[43],"structure":[45],"this":[47,73,81],"behaving":[51],"networks,":[53],"Hebbian":[56],"rule":[58,74],"modify":[64],"both":[65],"inhibitory":[67],"excitatory":[69],"synapses,":[70],"use":[72],"train":[76],"simple":[78],"network":[79],"from":[80],"an":[84],"XOR":[85],"problem.":[86],"simulator":[88],"its":[90],"user":[91],"interface":[92],"are":[94,103],"under":[95],"development":[96],"study":[99],"such":[101],"problems":[102],"also":[104],"presented":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}