{"id":"https://openalex.org/W2062870868","doi":"https://doi.org/10.1016/s0925-2312(01)00657-9","title":"Local stability of recurrent networks with time-varying weights and inputs","display_name":"Local stability of recurrent networks with time-varying weights and inputs","publication_year":2002,"publication_date":"2002-10-01","ids":{"openalex":"https://openalex.org/W2062870868","doi":"https://doi.org/10.1016/s0925-2312(01)00657-9","mag":"2062870868"},"language":"en","primary_location":{"id":"doi:10.1016/s0925-2312(01)00657-9","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0925-2312(01)00657-9","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","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/A5085055595","display_name":"Jochen J. Steil","orcid":"https://orcid.org/0000-0002-6738-9933"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jochen J. Steil","raw_affiliation_strings":["Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 10 01 31, D-33501 Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroinformatics Group, Faculty of Technology, University of Bielefeld, P.O. Box 10 01 31, D-33501 Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085055595"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":null,"fwci":1.608,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86573316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"48","issue":"1-4","first_page":"39","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.6408812999725342},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.6180217862129211},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6119691133499146},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5388744473457336},{"id":"https://openalex.org/keywords/equilibrium-point","display_name":"Equilibrium point","score":0.5193701386451721},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5131476521492004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5083057284355164},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4855899214744568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47987332940101624},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.468608021736145},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.4256145656108856},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4176703989505768},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.34131553769111633},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3376615643501282},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.2695574462413788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1772482991218567},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.17121809720993042},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.1095622181892395},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.08419325947761536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07789081335067749}],"concepts":[{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.6408812999725342},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.6180217862129211},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6119691133499146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5388744473457336},{"id":"https://openalex.org/C94766913","wikidata":"https://www.wikidata.org/wiki/Q1530271","display_name":"Equilibrium point","level":3,"score":0.5193701386451721},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5131476521492004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5083057284355164},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4855899214744568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47987332940101624},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.468608021736145},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.4256145656108856},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4176703989505768},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34131553769111633},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3376615643501282},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.2695574462413788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1772482991218567},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.17121809720993042},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.1095622181892395},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.08419325947761536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07789081335067749},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0925-2312(01)00657-9","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0925-2312(01)00657-9","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1538539771","https://openalex.org/W1552102342","https://openalex.org/W1980710064","https://openalex.org/W2000647458","https://openalex.org/W2006028715","https://openalex.org/W2058580716","https://openalex.org/W2059528966","https://openalex.org/W2087831875","https://openalex.org/W2114856627","https://openalex.org/W2121752938","https://openalex.org/W2132570681","https://openalex.org/W2140580486","https://openalex.org/W2154890045","https://openalex.org/W2169710839","https://openalex.org/W3210839039","https://openalex.org/W6677208436"],"related_works":["https://openalex.org/W2960434112","https://openalex.org/W3049714198","https://openalex.org/W2036805113","https://openalex.org/W2592279130","https://openalex.org/W2049158118","https://openalex.org/W1499880030","https://openalex.org/W2123827981","https://openalex.org/W3011334989","https://openalex.org/W4388853539","https://openalex.org/W2730255634"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
