{"id":"https://openalex.org/W3125616445","doi":"https://doi.org/10.1109/tnnls.2021.3050422","title":"Synaptic Scaling\u2014An Artificial Neural Network Regularization Inspired by Nature","display_name":"Synaptic Scaling\u2014An Artificial Neural Network Regularization Inspired by Nature","publication_year":2021,"publication_date":"2021-01-27","ids":{"openalex":"https://openalex.org/W3125616445","doi":"https://doi.org/10.1109/tnnls.2021.3050422","mag":"3125616445","pmid":"https://pubmed.ncbi.nlm.nih.gov/33502984"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3050422","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3050422","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/9816060/09337198.pdf","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/5962385/9816060/09337198.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008336815","display_name":"Martin Hofmann","orcid":"https://orcid.org/0000-0002-4440-3317"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Hofmann","raw_affiliation_strings":["Department of Computer Science and Automation, Technische Universit&#x00E4;t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Automation, Technische Universit&#x00E4;t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063243817","display_name":"Patrick M\u00e4der","orcid":"https://orcid.org/0000-0001-6871-2707"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Mader","raw_affiliation_strings":["Department of Computer Science and Automation, Technische Universit&#x00E4;t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Automation, Technische Universit&#x00E4;t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008336815"],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":1.5434,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.80635981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":"7","first_page":"3094","last_page":"3108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9995999932289124,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"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/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.686448872089386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6305531859397888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6159985065460205},{"id":"https://openalex.org/keywords/homeostatic-plasticity","display_name":"Homeostatic plasticity","score":0.5993859767913818},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5459191203117371},{"id":"https://openalex.org/keywords/synaptic-scaling","display_name":"Synaptic scaling","score":0.5266644358634949},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4981720447540283},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.49208301305770874},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4679777920246124},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4325612187385559},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.42030608654022217},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.4012702703475952},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4003502428531647},{"id":"https://openalex.org/keywords/metaplasticity","display_name":"Metaplasticity","score":0.2887492775917053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16806304454803467},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10702154040336609},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07413443922996521}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.686448872089386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6305531859397888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6159985065460205},{"id":"https://openalex.org/C5687787","wikidata":"https://www.wikidata.org/wiki/Q5889850","display_name":"Homeostatic plasticity","level":5,"score":0.5993859767913818},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5459191203117371},{"id":"https://openalex.org/C117718741","wikidata":"https://www.wikidata.org/wiki/Q7662041","display_name":"Synaptic scaling","level":5,"score":0.5266644358634949},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4981720447540283},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.49208301305770874},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4679777920246124},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4325612187385559},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.42030608654022217},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.4012702703475952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4003502428531647},{"id":"https://openalex.org/C194973443","wikidata":"https://www.wikidata.org/wiki/Q1420291","display_name":"Metaplasticity","level":4,"score":0.2887492775917053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16806304454803467},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10702154040336609},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07413443922996521},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","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/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2021.3050422","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3050422","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/9816060/09337198.pdf","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:33502984","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33502984","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,"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":null},{"id":"pmh:oai:www.db-thueringen.de:dbt_mods_00057002","is_oa":true,"landing_page_url":"https://www.db-thueringen.de/receive/dbt_mods_00057002","pdf_url":null,"source":{"id":"https://openalex.org/S4306400120","display_name":"Common Library Network (Der Gemeinsame Bibliotheksverbund)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210149878","host_organization_name":"Verbundzentrale des GBV","host_organization_lineage":["https://openalex.org/I4210149878"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/tnnls.2021.3050422","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3050422","pdf_url":"https://ieeexplore.ieee.org/ielx7/5962385/9816060/09337198.pdf","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1002804571","display_name":null,"funder_award_id":"16PGF0304","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G2700166100","display_name":null,"funder_award_id":"01IS20062","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G352791218","display_name":null,"funder_award_id":"(BMBF)","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G4588868460","display_name":null,"funder_award_id":"01LC1319","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G4838704522","display_name":null,"funder_award_id":"in part","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G5512256177","display_name":null,"funder_award_id":"3519685A08","funder_id":"https://openalex.org/F4320323501","funder_display_name":"Bundesministerium f\u00fcr Umwelt, Naturschutz, Bau und Reaktorsicherheit"},{"id":"https://openalex.org/G6298115547","display_name":null,"funder_award_id":"68678","funder_id":"https://openalex.org/F4320324430","funder_display_name":"Friedrich Naumann Stiftung"},{"id":"https://openalex.org/G7156292552","display_name":null,"funder_award_id":"3514685C19","funder_id":"https://openalex.org/F4320323501","funder_display_name":"Bundesministerium f\u00fcr Umwelt, Naturschutz, Bau und Reaktorsicherheit"},{"id":"https://openalex.org/G7225624288","display_name":null,"funder_award_id":"This work was","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320323501","display_name":"Bundesministerium f\u00fcr Umwelt, Naturschutz, Bau und Reaktorsicherheit","ror":"https://ror.org/01yj5ad85"},{"id":"https://openalex.org/F4320324430","display_name":"Friedrich Naumann Stiftung","ror":"https://ror.org/04qy50a03"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3125616445.pdf","grobid_xml":"https://content.openalex.org/works/W3125616445.grobid-xml"},"referenced_works_count":112,"referenced_works":["https://openalex.org/W2744277","https://openalex.org/W4919037","https://openalex.org/W87395940","https://openalex.org/W1486852018","https://openalex.org/W1489333352","https://openalex.org/W1498436455","https://openalex.org/W1498883320","https://openalex.org/W1523260305","https://openalex.org/W1542136448","https://openalex.org/W1567276288","https://openalex.org/W1800356822","https://openalex.org/W1836465849","https://openalex.org/W1959608418","https://openalex.org/W1973009402","https://openalex.org/W1985392528","https://openalex.org/W1995341919","https://openalex.org/W2001619934","https://openalex.org/W2002084676","https://openalex.org/W2010087445","https://openalex.org/W2013639040","https://openalex.org/W2015701831","https://openalex.org/W2031883843","https://openalex.org/W2038365936","https://openalex.org/W2040003929","https://openalex.org/W2042076346","https://openalex.org/W2053308210","https://openalex.org/W2053744708","https://openalex.org/W2056625171","https://openalex.org/W2062205907","https://openalex.org/W2063067007","https://openalex.org/W2063978378","https://openalex.org/W2070772907","https://openalex.org/W2073792037","https://openalex.org/W2080966422","https://openalex.org/W2083700023","https://openalex.org/W2088321899","https://openalex.org/W2095705004","https://openalex.org/W2097998348","https://openalex.org/W2103212315","https://openalex.org/W2103459159","https://openalex.org/W2103594871","https://openalex.org/W2108598243","https://openalex.org/W2111406701","https://openalex.org/W2112796928","https://openalex.org/W2112971812","https://openalex.org/W2113273079","https://openalex.org/W2113459411","https://openalex.org/W2114733238","https://openalex.org/W2114771311","https://openalex.org/W2117731089","https://openalex.org/W2123469175","https://openalex.org/W2130378946","https://openalex.org/W2141232319","https://openalex.org/W2145607950","https://openalex.org/W2147101007","https://openalex.org/W2151903421","https://openalex.org/W2154029067","https://openalex.org/W2154039946","https://openalex.org/W2159675211","https://openalex.org/W2162720865","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2258695288","https://openalex.org/W2301435817","https://openalex.org/W2345474290","https://openalex.org/W2478708596","https://openalex.org/W2509976270","https://openalex.org/W2593634001","https://openalex.org/W2736196660","https://openalex.org/W2785523195","https://openalex.org/W2803289034","https://openalex.org/W2810818231","https://openalex.org/W2887997457","https://openalex.org/W2888132296","https://openalex.org/W2903822982","https://openalex.org/W2918745211","https://openalex.org/W2949759968","https://openalex.org/W2962734576","https://openalex.org/W2964184826","https://openalex.org/W2964274681","https://openalex.org/W2996320484","https://openalex.org/W3006348122","https://openalex.org/W3090198514","https://openalex.org/W3118608800","https://openalex.org/W3118834147","https://openalex.org/W3120740533","https://openalex.org/W4246280761","https://openalex.org/W4251731575","https://openalex.org/W4254721730","https://openalex.org/W4293469690","https://openalex.org/W4297749952","https://openalex.org/W4297798436","https://openalex.org/W6600111351","https://openalex.org/W6600213771","https://openalex.org/W6603543817","https://openalex.org/W6631402647","https://openalex.org/W6633723191","https://openalex.org/W6638114406","https://openalex.org/W6638667902","https://openalex.org/W6640963894","https://openalex.org/W6674330103","https://openalex.org/W6674385629","https://openalex.org/W6676984168","https://openalex.org/W6682981903","https://openalex.org/W6725794956","https://openalex.org/W6729906282","https://openalex.org/W6732696085","https://openalex.org/W6747620207","https://openalex.org/W6754278344","https://openalex.org/W6762796984","https://openalex.org/W6787787186","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3033976424","https://openalex.org/W2552605651","https://openalex.org/W2203294387","https://openalex.org/W1986719288","https://openalex.org/W3012226228","https://openalex.org/W2005408213","https://openalex.org/W2946673189","https://openalex.org/W1985610082","https://openalex.org/W2029934656","https://openalex.org/W3008923531"],"abstract_inverted_index":{"Nature":[0],"has":[1,82],"always":[2],"inspired":[3],"the":[4,33,41,70,87,98,145,171,175],"human":[5],"spirit":[6],"and":[7,22,59,90,102,150,153,181,199,202],"scientists":[8],"frequently":[9],"developed":[10,75],"new":[11,37],"methods":[12],"based":[13],"on":[14,49,97,129,165],"observations":[15],"from":[16],"nature.":[17],"Recent":[18],"advances":[19],"in":[20,62,137,144,178,189],"imaging":[21],"sensing":[23],"technology":[24],"allow":[25],"fascinating":[26],"insights":[27],"into":[28],"biological":[29,63],"neural":[30,45,60,64,110,155],"processes.":[31],"With":[32],"objective":[34],"of":[35,44,148,196],"finding":[36],"strategies":[38],"to":[39,56,76,85,108,117,185],"enhance":[40],"learning":[42,57],"capabilities":[43],"networks,":[46,65],"we":[47,113,133],"focus":[48],"a":[50,193],"phenomenon":[51],"that":[52,72,170],"is":[53,123],"closely":[54],"related":[55],"tasks":[58,183],"stability":[61],"called":[66],"homeostatic":[67,78],"plasticity.":[68],"Among":[69],"theories":[71],"have":[73],"been":[74,83],"describe":[77],"plasticity,":[79],"synaptic":[80,99,126,139],"scaling":[81,100,140],"found":[84,169],"be":[86,106,142],"most":[88],"mature":[89],"applicable.":[91],"We":[92,157,168],"systematically":[93],"discuss":[94],"previous":[95,186],"studies":[96],"theory":[101,116],"how":[103,120],"they":[104],"could":[105],"applied":[107,143],"artificial":[109],"networks.":[111,156],"Therefore,":[112],"utilize":[114],"information":[115,122],"analytically":[118],"evaluate":[119],"mutual":[121],"affected":[124],"by":[125],"scaling.":[127],"Based":[128],"these":[130],"analytic":[131],"findings,":[132],"propose":[134],"two":[135],"flavors":[136],"which":[138],"can":[141],"training":[146],"process":[147],"simple":[149],"complex,":[151],"feedforward,":[152],"recurrent":[154,200],"compare":[158],"our":[159,190],"approach":[160],"with":[161],"state-of-the-art":[162],"regularization":[163,187],"techniques":[164],"standard":[166],"benchmarks.":[167],"proposed":[172],"method":[173],"yields":[174],"lowest":[176],"error":[177],"both":[179],"regression":[180],"classification":[182],"compared":[184],"approaches":[188],"experiments":[191],"across":[192],"wide":[194],"range":[195],"network":[197],"feedforward":[198],"topologies":[201],"data":[203],"sets.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
