{"id":"https://openalex.org/W7136718382","doi":"https://doi.org/10.1007/s10827-026-00932-x","title":"Locally balanced inhibition allows for robust learning of input-output associations in feedforward networks with Hebbian plasticity","display_name":"Locally balanced inhibition allows for robust learning of input-output associations in feedforward networks with Hebbian plasticity","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7136718382","doi":"https://doi.org/10.1007/s10827-026-00932-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/41838351"},"language":"en","primary_location":{"id":"doi:10.1007/s10827-026-00932-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10827-026-00932-x","pdf_url":null,"source":{"id":"https://openalex.org/S27455496","display_name":"Journal of Computational Neuroscience","issn_l":"0929-5313","issn":["0929-5313","1573-6873"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s10827-026-00932-x","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054862480","display_name":"Gloria Cecchini","orcid":"https://orcid.org/0000-0003-3504-7039"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]},{"id":"https://openalex.org/I4210122226","display_name":"Centre de Recerca Matem\u00e0tica","ror":"https://ror.org/020s51w82","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210122226","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Gloria Cecchini","raw_affiliation_strings":["Centre de Recerca Matematica, Campus de Bellaterra, Edifici C, Bellaterra, 08193, Barcelona, Spain. gcecchini@crm.cat","Department of Information and Communications Technologies, Universitat Pompeu Fabra, Carrer Roc Boronat 138, Barcelona, 08018, Spain. gcecchini@crm.cat"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recerca Matematica, Campus de Bellaterra, Edifici C, Bellaterra, 08193, Barcelona, Spain. gcecchini@crm.cat","institution_ids":["https://openalex.org/I4210122226"]},{"raw_affiliation_string":"Department of Information and Communications Technologies, Universitat Pompeu Fabra, Carrer Roc Boronat 138, Barcelona, 08018, Spain. gcecchini@crm.cat","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067209600","display_name":"Alex Roxin","orcid":"https://orcid.org/0000-0003-1015-8138"},"institutions":[{"id":"https://openalex.org/I4210122226","display_name":"Centre de Recerca Matem\u00e0tica","ror":"https://ror.org/020s51w82","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210122226","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alex Roxin","raw_affiliation_strings":["Centre de Recerca Matematica, Campus de Bellaterra, Edifici C, Bellaterra, 08193, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recerca Matematica, Campus de Bellaterra, Edifici C, Bellaterra, 08193, Barcelona, Spain","institution_ids":["https://openalex.org/I4210122226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054862480"],"corresponding_institution_ids":["https://openalex.org/I170486558","https://openalex.org/I4210122226"],"apc_list":{"value":2590,"currency":"EUR","value_usd":3390},"apc_paid":{"value":2590,"currency":"EUR","value_usd":3390},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30295262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":"2","first_page":"191","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.3946000039577484,"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":0.3946000039577484,"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/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.1881999969482422,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.13910000026226044,"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/hebbian-theory","display_name":"Hebbian theory","score":0.9462000131607056},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.761900007724762},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.542900025844574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5072000026702881},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.48100000619888306},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4438999891281128},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.3937999904155731},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.3871999979019165},{"id":"https://openalex.org/keywords/sensory-system","display_name":"Sensory system","score":0.38420000672340393}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.9462000131607056},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.761900007724762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833000183105469},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.542900025844574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5072000026702881},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.48100000619888306},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4250999987125397},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3765000104904175},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.3544999957084656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C97108695","wikidata":"https://www.wikidata.org/wiki/Q6508265","display_name":"Leabra","level":5,"score":0.33489999175071716},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.31189998984336853},{"id":"https://openalex.org/C17077164","wikidata":"https://www.wikidata.org/wiki/Q1185869","display_name":"Inhibitory postsynaptic potential","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.3059999942779541},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C2983526489","wikidata":"https://www.wikidata.org/wiki/Q133500","display_name":"Associative learning","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C47611674","wikidata":"https://www.wikidata.org/wiki/Q849491","display_name":"Neuroplasticity","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C24858836","wikidata":"https://www.wikidata.org/wiki/Q844718","display_name":"Theory of computation","level":2,"score":0.25290000438690186}],"mesh":[{"descriptor_ui":"D000098419","descriptor_name":"Feedforward Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001245","descriptor_name":"Association Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009433","descriptor_name":"Neural Inhibition","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009473","descriptor_name":"Neuronal Plasticity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D013569","descriptor_name":"Synapses","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1007/s10827-026-00932-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10827-026-00932-x","pdf_url":null,"source":{"id":"https://openalex.org/S27455496","display_name":"Journal of Computational Neuroscience","issn_l":"0929-5313","issn":["0929-5313","1573-6873"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Neuroscience","raw_type":"journal-article"},{"id":"pmid:41838351","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41838351","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":"Journal of computational neuroscience","raw_type":null}],"best_oa_location":{"id":"doi:10.1007/s10827-026-00932-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10827-026-00932-x","pdf_url":null,"source":{"id":"https://openalex.org/S27455496","display_name":"Journal of Computational Neuroscience","issn_l":"0929-5313","issn":["0929-5313","1573-6873"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318602","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1504248943","https://openalex.org/W2008284899","https://openalex.org/W2020739344","https://openalex.org/W2037287139","https://openalex.org/W2040870580","https://openalex.org/W2041656098","https://openalex.org/W2043699248","https://openalex.org/W2049517487","https://openalex.org/W2061154057","https://openalex.org/W2062624347","https://openalex.org/W2069129925","https://openalex.org/W2073895917","https://openalex.org/W2079150153","https://openalex.org/W2079600992","https://openalex.org/W2080507226","https://openalex.org/W2084259975","https://openalex.org/W2087103619","https://openalex.org/W2087301801","https://openalex.org/W2090654022","https://openalex.org/W2100438317","https://openalex.org/W2101222204","https://openalex.org/W2106566258","https://openalex.org/W2106884367","https://openalex.org/W2113055360","https://openalex.org/W2118071679","https://openalex.org/W2128084896","https://openalex.org/W2129386380","https://openalex.org/W2132385194","https://openalex.org/W2143045663","https://openalex.org/W2158850437","https://openalex.org/W2169476756","https://openalex.org/W2220289289","https://openalex.org/W2294653186","https://openalex.org/W2432567885","https://openalex.org/W2768034240","https://openalex.org/W2950770251","https://openalex.org/W3083293781","https://openalex.org/W3167740220","https://openalex.org/W3195460814","https://openalex.org/W3213056029","https://openalex.org/W4229518371","https://openalex.org/W4241278178","https://openalex.org/W4245564453","https://openalex.org/W4380489569","https://openalex.org/W4380489692","https://openalex.org/W4391617705","https://openalex.org/W4410854305","https://openalex.org/W4412767915"],"related_works":[],"abstract_inverted_index":{"In":[0,116],"neural":[1,236],"networks":[2,243],"within":[3],"the":[4,6,15,45,49,82,111,119,134,148,189,205,211,223],"brain,":[5],"activity":[7],"of":[8,18,48,84,88,133,171,184,207,225],"a":[9,85,98,131,169,181],"post-synaptic":[10],"neuron":[11],"is":[12],"determined":[13],"by":[14],"combined":[16],"influence":[17],"many":[19],"pre-synaptic":[20],"neurons.":[21],"This":[22,137,220],"distributed":[23],"processing":[24,234],"enables":[25],"mechanisms":[26,227],"like":[27],"Hebbian":[28,56,120],"plasticity":[29],"to":[30,130,151,179,214],"associate":[31],"sensory":[32,58],"inputs":[33,59,193],"with":[34,107],"specific":[35],"internal":[36,69],"states,":[37],"as":[38,44],"seen":[39],"in":[40,139,159,228,235],"feedforward":[41,113],"structures":[42],"such":[43],"CA1":[46],"region":[47],"hippocampus.":[50],"By":[51,196],"modifying":[52],"synaptic":[53,124],"weights":[54,125],"through":[55,110],"rules,":[57],"can":[60],"subsequently":[61],"elicit":[62],"outputs":[63],"that":[64,167],"consistently":[65],"reflect":[66],"their":[67,245],"corresponding":[68],"states.":[70],"When":[71],"input":[72,108],"and":[73,155,194,217,231],"output":[74,102,142],"patterns":[75,103,109,143],"are":[76],"uncorrelated,":[77],"this":[78,163],"approach":[79],"allows":[80],"for":[81,248],"encoding":[83],"large":[86],"number":[87],"distinct":[89],"associations,":[90],"enabling":[91,229],"efficient":[92,230],"memory":[93],"storage.":[94],"Our":[95],"study":[96],"demonstrates":[97],"critical":[99],"limitation":[100],"when":[101],"become":[104],"weakly":[105],"correlated":[106,141],"intrinsic":[112],"network\u2019s":[114,135,149,212],"connectivity.":[115],"these":[117],"cases,":[118],"rule":[121],"preferentially":[122],"strengthens":[123],"shared":[126,208],"across":[127],"patterns,":[128],"leading":[129],"\u201cfreezing\u201d":[132],"structure.":[136],"results":[138],"highly":[140],"over":[144],"time,":[145],"effectively":[146],"reducing":[147],"capacity":[150,247],"store":[152],"diverse":[153],"associations":[154],"limiting":[156],"its":[157],"flexibility":[158],"learning.":[160,219,250],"To":[161],"address":[162],"challenge,":[164],"we":[165],"find":[166],"including":[168],"mechanism":[170],"locally":[172,201],"balanced":[173,202],"inhibition,":[174],"which":[175],"has":[176],"been":[177],"shown":[178],"be":[180],"key":[182],"feature":[183],"cortical":[185],"circuits":[186],"in-vivo,":[187],"counteracts":[188],"undesired":[190],"correlations":[191],"between":[192],"outputs.":[195],"dynamically":[197],"regulating":[198],"inhibitory":[199,226],"input,":[200],"inhibition":[203],"prevents":[204],"over-strengthening":[206],"weights,":[209],"restoring":[210],"ability":[213],"maintain":[215,244],"robust":[216],"flexible":[218],"finding":[221],"underscores":[222],"importance":[224],"adaptive":[232],"information":[233],"circuits,":[237],"offering":[238],"insights":[239],"into":[240],"how":[241],"biological":[242],"remarkable":[246],"associative":[249]},"counts_by_year":[],"updated_date":"2026-06-29T08:53:18.405633","created_date":"2026-03-17T00:00:00"}
