{"id":"https://openalex.org/W4387779281","doi":"https://doi.org/10.3389/fncom.2023.1254355","title":"The storage capacity of a directed graph and nodewise autonomous, ubiquitous learning","display_name":"The storage capacity of a directed graph and nodewise autonomous, ubiquitous learning","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4387779281","doi":"https://doi.org/10.3389/fncom.2023.1254355","pmid":"https://pubmed.ncbi.nlm.nih.gov/37927548"},"language":"en","primary_location":{"id":"doi:10.3389/fncom.2023.1254355","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3389/fncom.2023.1254355","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2023.1254355/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2023.1254355/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017196205","display_name":"Hui Wei","orcid":"https://orcid.org/0000-0003-2696-0707"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Wei","raw_affiliation_strings":["Laboratory of Algorithms for Cognitive Models, School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Algorithms for Cognitive Models, School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112959656","display_name":"Fushun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fushun Li","raw_affiliation_strings":["Laboratory of Algorithms for Cognitive Models, School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Algorithms for Cognitive Models, School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017196205"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":0.1266,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45171007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"1254355","last_page":"1254355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991000294685364,"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/T10581","display_name":"Neural dynamics and brain function","score":0.988099992275238,"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/T10320","display_name":"Neural Networks and Applications","score":0.9829999804496765,"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/computer-science","display_name":"Computer science","score":0.7490665912628174},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.45427095890045166},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.4460954964160919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33725619316101074},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.126008540391922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490665912628174},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.45427095890045166},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.4460954964160919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33725619316101074},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.126008540391922},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fncom.2023.1254355","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3389/fncom.2023.1254355","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2023.1254355/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},{"id":"pmid:37927548","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37927548","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":"Frontiers in computational neuroscience","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10620732","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10620732","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10620732/pdf/fncom-17-1254355.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Comput Neurosci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f33822a6f7534be7a9412bfd250ae77a","is_oa":true,"landing_page_url":"https://doaj.org/article/f33822a6f7534be7a9412bfd250ae77a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Computational Neuroscience, Vol 17 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fncom.2023.1254355","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3389/fncom.2023.1254355","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2023.1254355/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1681543208","display_name":null,"funder_award_id":"61771146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387779281.pdf","grobid_xml":"https://content.openalex.org/works/W4387779281.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1513115569","https://openalex.org/W1584143613","https://openalex.org/W1603661052","https://openalex.org/W1999653836","https://openalex.org/W2008620264","https://openalex.org/W2010459589","https://openalex.org/W2017393913","https://openalex.org/W2017557201","https://openalex.org/W2019124038","https://openalex.org/W2032824202","https://openalex.org/W2069835926","https://openalex.org/W2092655084","https://openalex.org/W2095425517","https://openalex.org/W2112090702","https://openalex.org/W2118705344","https://openalex.org/W2124248841","https://openalex.org/W2128084896","https://openalex.org/W2130596241","https://openalex.org/W2133093591","https://openalex.org/W2135208959","https://openalex.org/W2139565721","https://openalex.org/W2152430833","https://openalex.org/W2156774185","https://openalex.org/W2491288911","https://openalex.org/W2808493265","https://openalex.org/W2890214939","https://openalex.org/W2892560612","https://openalex.org/W2935745286","https://openalex.org/W2935839061","https://openalex.org/W2949735646","https://openalex.org/W2962019629","https://openalex.org/W2970282997","https://openalex.org/W2991118826","https://openalex.org/W2994600009","https://openalex.org/W3002141543","https://openalex.org/W3014502602","https://openalex.org/W3040973699","https://openalex.org/W3098059858","https://openalex.org/W3098742898","https://openalex.org/W3099626495","https://openalex.org/W3114325318","https://openalex.org/W3116923736","https://openalex.org/W3135140385","https://openalex.org/W3137312010","https://openalex.org/W3139167438","https://openalex.org/W3159133710","https://openalex.org/W3159693937","https://openalex.org/W3159747465","https://openalex.org/W3174205044","https://openalex.org/W3191391055","https://openalex.org/W3201359912","https://openalex.org/W3201639524","https://openalex.org/W3207816499","https://openalex.org/W3213393422","https://openalex.org/W3216638419","https://openalex.org/W4213060235","https://openalex.org/W4225506584","https://openalex.org/W4286894210","https://openalex.org/W4288939032","https://openalex.org/W4294811475","https://openalex.org/W6767719612","https://openalex.org/W6801919287","https://openalex.org/W6803899392"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4387561393","https://openalex.org/W3163481960","https://openalex.org/W3093895509","https://openalex.org/W4283526844","https://openalex.org/W280704926","https://openalex.org/W2476068070","https://openalex.org/W4323971310","https://openalex.org/W2893372175","https://openalex.org/W2323394100"],"abstract_inverted_index":{"The":[0,273],"brain,":[1],"an":[2],"exceedingly":[3],"intricate":[4],"information":[5,74,99,178],"processing":[6,75],"system,":[7],"poses":[8],"a":[9,54,72,217,251,305,402],"constant":[10],"challenge":[11],"to":[12,52,70,143,285,311],"memory":[13,28,40,59,159,189,233,253,268,282,373,381,395],"research,":[14],"particularly":[15],"in":[16,129,139,151,235,256,270,337,380,388],"comprehending":[17],"how":[18],"it":[19,119,375,392],"encodes,":[20],"stores,":[21],"and":[22,34,37,44,91,103,107,137,147,171,175,197,213,243,277,297,301,315,349,365,384,423,443,460],"retrieves":[23],"information.":[24],"Cognitive":[25],"psychology":[26],"studies":[27,39],"mechanism":[29,41,76,254],"from":[30,42,123],"behavioral":[31,85],"experiment":[32],"level":[33,185],"fMRI":[35],"level,":[36],"neurobiology":[38],"anatomy":[43],"electrophysiology":[45],"level.":[46],"Current":[47],"research":[48],"findings":[49],"are":[50,166,186,427],"insufficient":[51],"provide":[53],"comprehensive,":[55],"detailed":[56],"explanation":[57],"of":[58,115,126,135,158,177,232,267,279,299,307,319,404,417,441],"processes":[60,314],"within":[61,94,179,434,449],"the":[62,112,124,130,133,140,144,152,156,172,183,264,280,317,320,328,341,352,377,407,414,418,439],"brain.":[63],"Numerous":[64],"unknown":[65],"details":[66],"must":[67],"be":[68],"addressed":[69],"establish":[71],"complete":[73],"connecting":[77],"micro":[78],"molecular":[79],"cellular":[80,184],"levels":[81],"with":[82,100,111,397],"macro":[83],"cognitive":[84,313],"levels.":[86],"Key":[87],"issues":[88],"include":[89],"characterizing":[90],"distributing":[92],"content":[93,234,269],"biological":[95],"neural":[96,164],"networks,":[97],"coexisting":[98],"varying":[101],"content,":[102],"sharing":[104],"limited":[105,210],"resources":[106],"storage":[108,364,432,446],"capacity.":[109],"Compared":[110],"hard":[113],"disk":[114],"computer":[116],"mass":[117],"storage,":[118,174,275],"is":[120,160,200,226],"very":[121],"clear":[122],"polarity":[125],"magnetic":[127],"particles":[128],"bottom":[131],"layer,":[132,142,154],"division":[134],"tracks":[136],"sectors":[138],"middle":[141],"directory":[145],"tree":[146],"file":[148],"management":[149],"system":[150,283],"high":[153,394],"but":[155],"understanding":[157],"not":[161],"sufficient.":[162],"Biological":[163],"networks":[165],"abstracted":[167],"as":[168,263,289,386,454],"directed":[169,180,195,223,236,271,321,335,419,425,435],"graphs,":[170,237],"encoding,":[173,274],"retrieval":[176,278],"graphs":[181,196,336,426,436],"at":[182],"explored.":[187],"A":[188],"computational":[190],"model":[191],"based":[192,203],"on":[193,204],"active":[194],"node-adaptive":[198],"learning":[199,220,332,368],"proposed.":[201,246],"First,":[202],"neuronal":[205,451],"local":[206,358],"perspectives,":[207],"autonomous":[208],"initiative,":[209],"resource":[211,230],"competition,":[212],"other":[214],"neurobiological":[215],"characteristics,":[216],"resource-based":[218],"adaptive":[219,330],"algorithm":[221,333,353],"for":[222,334],"graph":[224,257,322],"nodes":[225],"designed.":[227],"To":[228],"minimize":[229],"consumption":[231],"two":[238],"resource-occupancy":[239],"optimization":[240],"strategies-lateral":[241],"inhibition":[242],"path":[244],"pruning-are":[245],"Second,":[247],"this":[248,338],"paper":[249,339],"introduces":[250],"novel":[252],"grounded":[255],"theory,":[258],"which":[259],"considers":[260],"connected":[261],"subgraphs":[262],"physical":[265],"manifestation":[266],"graphs.":[272],"consolidation,":[276],"brain's":[281],"correspond":[284],"specific":[286],"operations":[287],"such":[288,453],"forming":[290],"subgraphs,":[291,294,300],"accommodating":[292],"multiple":[293],"strengthening":[295],"connections":[296],"connectivity":[298,331],"activating":[302],"subgraphs.":[303],"Lastly,":[304],"series":[306],"experiments":[308],"were":[309],"designed":[310],"simulate":[312],"evaluate":[316],"performance":[318,396,410],"model.":[323],"Experimental":[324],"results":[325],"reveal":[326,438],"that":[327],"proposed":[329],"possesses":[340],"following":[342],"four":[343],"features:":[344],"(1)":[345],"Demonstrating":[346],"distributed,":[347],"self-organizing,":[348],"self-adaptive":[350],"properties,":[351],"achieves":[354],"global-level":[355],"functions":[356],"through":[357],"node":[359],"interactions;":[360],"(2)":[361],"Enabling":[362],"incremental":[363],"supporting":[366],"continuous":[367],"capabilities;":[369],"(3)":[370],"Displaying":[371],"stable":[372],"performance,":[374],"surpasses":[376],"Hopfield":[378],"network":[379],"accuracy,":[382],"capacity,":[383],"diversity,":[385],"demonstrated":[387],"experimental":[389],"comparisons.":[390],"Moreover,":[391],"maintains":[393],"large-scale":[398],"datasets;":[399],"(4)":[400],"Exhibiting":[401],"degree":[403],"generalization":[405],"ability,":[406],"algorithm's":[408],"macroscopic":[409],"remains":[411],"unaffected":[412],"by":[413],"topological":[415],"structure":[416],"graph.":[420],"Large-scale,":[421],"decentralized,":[422],"node-autonomous":[424],"suitable":[428],"simulation":[429],"methods.":[430],"Examining":[431],"problems":[433],"can":[437],"essence":[440],"phenomena":[442],"uncover":[444],"fundamental":[445],"rules":[447],"hidden":[448],"complex":[450],"mechanisms,":[452],"synaptic":[455],"plasticity,":[456],"ion":[457],"channels,":[458],"neurotransmitters,":[459],"electrochemical":[461],"activities.":[462]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}