{"id":"https://openalex.org/W4409985204","doi":"https://doi.org/10.1109/tnnls.2025.3561217","title":"Strong Anti-Hebbian Plasticity Alters the Convexity of Network Attractor Landscapes","display_name":"Strong Anti-Hebbian Plasticity Alters the Convexity of Network Attractor Landscapes","publication_year":2025,"publication_date":"2025-04-30","ids":{"openalex":"https://openalex.org/W4409985204","doi":"https://doi.org/10.1109/tnnls.2025.3561217","pmid":"https://pubmed.ncbi.nlm.nih.gov/40305254"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3561217","doi":"https://doi.org/10.1109/tnnls.2025.3561217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3561217","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.14896","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101265226","display_name":"Lulu Gong","orcid":"https://orcid.org/0000-0002-8392-6348","observed_orcids":["https://orcid.org/0000-0002-8392-6348"]},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lulu Gong","raw_affiliation_strings":["Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA"],"raw_orcid":"https://orcid.org/0000-0002-8392-6348","affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xudong Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xudong Chen","raw_affiliation_strings":["Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057893339","display_name":"ShiNung Ching","orcid":"https://orcid.org/0000-0003-4063-7068","observed_orcids":["https://orcid.org/0000-0003-4063-7068"]},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ShiNung Ching","raw_affiliation_strings":["Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.4045,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60445077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"36","issue":"9","first_page":"17491","last_page":"17498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9961000084877014,"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":0.9961000084877014,"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":0.0013000000035390258,"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":0.000699999975040555,"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/anti-hebbian-plasticity","display_name":"anti-Hebbian plasticity","score":0.9909999966621399},{"id":"https://openalex.org/keywords/hebbian-learning","display_name":"Hebbian learning","score":0.9129999876022339},{"id":"https://openalex.org/keywords/attractor-landscape","display_name":"attractor landscape","score":0.8019999861717224},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.8080000281333923},{"id":"https://openalex.org/keywords/pitchfork-bifurcation","display_name":"pitchfork bifurcation","score":0.8949999809265137},{"id":"https://openalex.org/keywords/convexity","display_name":"convexity","score":0.8090000152587891},{"id":"https://openalex.org/keywords/multiple-stable-equilibria","display_name":"multiple stable equilibria","score":0.9129999876022339},{"id":"https://openalex.org/keywords/learning-rate","display_name":"learning rate","score":0.753000020980835},{"id":"https://openalex.org/keywords/large-scale-optimization","display_name":"large-scale optimization","score":0.8009999990463257}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.7961521148681641},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.7040230631828308},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.6769528388977051},{"id":"https://openalex.org/C79186407","wikidata":"https://www.wikidata.org/wiki/Q472074","display_name":"Plasticity","level":2,"score":0.5263494253158569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42082738876342773},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2764621376991272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27603310346603394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.268491268157959},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19613751769065857},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11970275640487671},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1108299195766449},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2025.3561217","doi":"https://doi.org/10.1109/tnnls.2025.3561217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3561217","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40305254","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40305254","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2312.14896","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14896","pdf_url":"https://arxiv.org/pdf/2312.14896","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2312.14896","doi":"https://doi.org/10.48550/arxiv.2312.14896","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.14896","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.14896","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14896","pdf_url":"https://arxiv.org/pdf/2312.14896","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409985204.pdf","grobid_xml":"https://content.openalex.org/works/W4409985204.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1841080724","https://openalex.org/W1967216659","https://openalex.org/W1984431842","https://openalex.org/W1994102717","https://openalex.org/W1999758824","https://openalex.org/W2010228425","https://openalex.org/W2038749976","https://openalex.org/W2041533382","https://openalex.org/W2052918609","https://openalex.org/W2057553352","https://openalex.org/W2071410910","https://openalex.org/W2104040519","https://openalex.org/W2125350568","https://openalex.org/W2128084896","https://openalex.org/W2134331318","https://openalex.org/W2139827365","https://openalex.org/W2143908132","https://openalex.org/W2149525340","https://openalex.org/W2522121485","https://openalex.org/W2587333550","https://openalex.org/W3048143462","https://openalex.org/W3215137167","https://openalex.org/W4213213245","https://openalex.org/W4224078998","https://openalex.org/W4294202921","https://openalex.org/W4294967943","https://openalex.org/W4308294084","https://openalex.org/W4393386271"],"related_works":["https://openalex.org/W2045515887","https://openalex.org/W4416934730","https://openalex.org/W1978872345","https://openalex.org/W168405122","https://openalex.org/W2112660709","https://openalex.org/W1828198785","https://openalex.org/W2049744604","https://openalex.org/W2070649993","https://openalex.org/W3102322688","https://openalex.org/W4415999458"],"abstract_inverted_index":{"In":[0,85],"this":[1,89],"brief,":[2],"we":[3,62],"study":[4],"recurrent":[5],"neural":[6],"networks":[7,26],"in":[8,19,80],"the":[9,21,33,48,81,129],"presence":[10],"of":[11,24,32,40,50,131],"pairwise":[12,140],"learning":[13,71,119],"rules.":[14,142],"We":[15],"are":[16,114],"specifically":[17],"interested":[18],"how":[20],"attractor":[22,83,112],"landscapes":[23,113],"such":[25,51,101],"become":[27],"altered":[28],"as":[29],"a":[30,45,65,74],"function":[31],"strength":[34],"and":[35,100],"nature":[36],"(Hebbian":[37],"versus":[38],"anti-Hebbian)":[39],"learning,":[41],"which":[42],"may":[43,103],"have":[44],"bearing":[46],"on":[47],"ability":[49],"rules":[52],"to":[53,69,117],"mediate":[54],"large-scale":[55],"optimization":[56],"problems.":[57],"Through":[58],"formal":[59],"mathematical":[60],"analysis,":[61],"show":[63],"that":[64,77,91,134],"transition":[66],"from":[67],"Hebbian":[68],"anti-Hebbian":[70,92],"brings":[72],"about":[73,96],"pitchfork":[75],"bifurcation":[76],"destroys":[78],"convexity":[79],"network":[82],"landscape.":[84],"larger":[86],"scale":[87],"settings,":[88],"implies":[90],"plasticity":[93,141],"will":[94],"bring":[95],"multiple":[97],"stable":[98],"equilibria,":[99],"effects":[102],"be":[104,136],"outsized":[105],"at":[106],"interconnection":[107],"or":[108],"\"choke\"":[109],"points.":[110],"Furthermore,":[111],"more":[115],"sensitive":[116],"slower":[118],"rates":[120],"than":[121],"faster":[122],"ones.":[123],"These":[124],"results":[125],"provide":[126],"insight":[127],"into":[128],"types":[130],"objective":[132],"functions":[133],"can":[135],"encoded":[137],"via":[138],"different":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-05-01T00:00:00"}