{"id":"https://openalex.org/W3200692463","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534123","title":"Neural Plasticity Networks","display_name":"Neural Plasticity Networks","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200692463","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534123","mag":"3200692463"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5100421849","display_name":"Yang Li","orcid":"https://orcid.org/0009-0006-4018-5582"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Li","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA","Georgia State University, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Georgia State University, Atlanta, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036338045","display_name":"Shihao Ji","orcid":"https://orcid.org/0000-0002-3573-5379"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shihao Ji","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA","Georgia State University, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Georgia State University, Atlanta, USA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100421849"],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55188242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9983999729156494,"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":0.998199999332428,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6662698984146118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5796694755554199},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5198022127151489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5068750977516174},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.449695885181427},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4285563826560974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24939778447151184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1844785213470459},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1458379626274109}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6662698984146118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5796694755554199},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5198022127151489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5068750977516174},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.449695885181427},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4285563826560974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24939778447151184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1844785213470459},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1458379626274109},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2042481239","https://openalex.org/W2058815839","https://openalex.org/W2095705004","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2119144962","https://openalex.org/W2122282526","https://openalex.org/W2168175751","https://openalex.org/W2194775991","https://openalex.org/W2242818861","https://openalex.org/W2257979135","https://openalex.org/W2464772092","https://openalex.org/W2553303224","https://openalex.org/W2617991662","https://openalex.org/W2619890685","https://openalex.org/W2756154119","https://openalex.org/W2808168148","https://openalex.org/W2890467057","https://openalex.org/W2896457183","https://openalex.org/W2909637611","https://openalex.org/W2928560789","https://openalex.org/W2937770662","https://openalex.org/W2945403477","https://openalex.org/W2949941638","https://openalex.org/W2952088488","https://openalex.org/W2962965870","https://openalex.org/W2963000224","https://openalex.org/W2963374479","https://openalex.org/W2963446712","https://openalex.org/W2963828549","https://openalex.org/W2964081807","https://openalex.org/W2964121744","https://openalex.org/W2964137095","https://openalex.org/W2964159205","https://openalex.org/W2965658867","https://openalex.org/W2970790493","https://openalex.org/W2972821612","https://openalex.org/W3023802502","https://openalex.org/W3034513523","https://openalex.org/W3118608800","https://openalex.org/W4293584307","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6684408796","https://openalex.org/W6690026940","https://openalex.org/W6713132643","https://openalex.org/W6719523400","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6729956949","https://openalex.org/W6732814185","https://openalex.org/W6736346607","https://openalex.org/W6738735913","https://openalex.org/W6739000085","https://openalex.org/W6745499552","https://openalex.org/W6753490951","https://openalex.org/W6754127105","https://openalex.org/W6755207826","https://openalex.org/W6758033794","https://openalex.org/W6762610423","https://openalex.org/W6842498775"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W1521968289","https://openalex.org/W2782041652","https://openalex.org/W2952088488","https://openalex.org/W2392157706","https://openalex.org/W2599192953","https://openalex.org/W2612657834","https://openalex.org/W2792147139","https://openalex.org/W2514220927","https://openalex.org/W2582745083"],"abstract_inverted_index":{"Neural":[0],"plasticity":[1,176],"is":[2,60,226,292],"an":[3,36,239],"important":[4],"functionality":[5],"of":[6,12,27,50,72,74,87,142,159,190,207,222,257,272,279],"human":[7],"brain,":[8],"in":[9,20,46,77,101,238],"which":[10,47],"number":[11],"neurons":[13,99,110],"and":[14,146,214,235,248,265],"synapses":[15],"can":[16,119,163,179,268],"shrink":[17],"or":[18,57,114,181],"expand":[19,182],"response":[21],"to":[22],"stimuli":[23],"throughout":[24],"the":[25,70,78,81,91,97,106,123,128,136,140,187,194,220,227,254,280],"span":[26],"life.":[28],"We":[29,155,259],"model":[30],"this":[31,225],"dynamic":[32],"learning":[33,107,161,229],"process":[34],"as":[35],"<tex":[37,129,170,201,210],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[38,130,171,202,211,284,287],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$L_{0}$</tex>":[39,131],"-":[40],"norm":[41],"regularized":[42,133],"binary":[43,65,88],"optimization":[44],"problem,":[45],"each":[48],"unit":[49,76],"a":[51,63,75,84,102,151,167,183],"neural":[52,175],"network":[53,177,184,191,233,236,263,266],"(e.g.,":[54],"weight,":[55],"neuron":[56],"channel,":[58],"etc.)":[59],"attached":[61],"with":[62],"stochastic":[64],"gate,":[66],"whose":[67],"parameters":[68],"determine":[69],"level":[71],"activity":[73],"network.":[79],"At":[80],"beginning,":[82],"only":[83],"small":[85],"portion":[86],"gates":[89],"(therefore":[90],"corresponding":[92],"neurons)":[93],"are":[94,100],"activated,":[95],"while":[96,275],"remaining":[98],"hibernation":[103],"mode.":[104],"As":[105,135],"proceeds,":[108],"some":[109],"might":[111],"be":[112,120,164],"activated":[113],"deactivated":[115],"if":[116],"doing":[117],"so":[118],"justified":[121],"by":[122,127,166,193],"cost-benefit":[124],"tradeoff":[125],"measured":[126],"-norm":[132],"objective.":[134],"training":[137,206,241],"gets":[138],"mature,":[139],"probability":[141],"transition":[143],"between":[144,216],"activation":[145],"deactivation":[147],"will":[148],"diminish":[149],"until":[150],"final":[152],"hardening":[153],"stage.":[154],"demonstrate":[156,253],"that":[157,231,261],"all":[158],"these":[160,217],"dynamics":[162],"modulated":[165],"single":[168],"parameter":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$k$</tex>":[172],"seamlessly.":[173],"Our":[174,289],"(NPN)":[178],"prune":[180],"depending":[185],"on":[186,245],"initial":[188],"capacity":[189],"provided":[192],"user;":[195],"it":[196],"also":[197],"unifies":[198,232],"dropout":[199],"(when":[200,209],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$k=0$</tex>":[203],"),":[204],"traditional":[205],"DNNs":[208],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$k=\\infty$</tex>":[212],")":[213],"interpolates":[215],"two.":[218],"To":[219],"best":[221],"our":[223],"knowledge,":[224],"first":[228],"framework":[230],"sparsification":[234,264],"expansion":[237,267],"end-to-end":[240],"pipeline.":[242],"Extensive":[243],"experiments":[244],"synthetic":[246],"dataset":[247],"multiple":[249],"image":[250],"classification":[251],"benchmarks":[252],"superior":[255],"performance":[256],"NPN.":[258],"show":[260],"both":[262],"yield":[269],"compact":[270],"models":[271],"similar":[273],"architectures,":[274],"retaining":[276],"competitive":[277],"accuracies":[278],"original":[281],"networks.":[282],"<sup":[283,286],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[285,288],"source":[290],"code":[291],"available":[293],"at":[294],"https://github.com/leo-yangli/npns.":[295]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}