{"id":"https://openalex.org/W4403079738","doi":"https://doi.org/10.3389/fncom.2024.1455530","title":"Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II","display_name":"Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II","publication_year":2024,"publication_date":"2024-10-03","ids":{"openalex":"https://openalex.org/W4403079738","doi":"https://doi.org/10.3389/fncom.2024.1455530","pmid":"https://pubmed.ncbi.nlm.nih.gov/39421849"},"language":"en","primary_location":{"id":"doi:10.3389/fncom.2024.1455530","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1455530","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2024.1455530/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":"editorial","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.2024.1455530/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047545398","display_name":"Lei Deng","orcid":"https://orcid.org/0000-0002-5172-9411"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Deng","raw_affiliation_strings":["Department of Precision Instrument, Center for Brain Inspired Computing Research, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, Center for Brain Inspired Computing Research, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090108695","display_name":"Huajin Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajin Tang","raw_affiliation_strings":["College of Computer Science and Technology, The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China","MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I55712492"]},{"raw_affiliation_string":"MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031161187","display_name":"Kaushik Roy","orcid":"https://orcid.org/0000-0002-0735-9695"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Roy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"1455530","last_page":"1455530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9975000023841858,"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":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9516081809997559},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.9100750684738159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5493771433830261},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5129344463348389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.391891747713089},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.33579570055007935},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23410093784332275},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14825215935707092},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14421191811561584},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.049444496631622314}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9516081809997559},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.9100750684738159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5493771433830261},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5129344463348389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.391891747713089},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.33579570055007935},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23410093784332275},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14825215935707092},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14421191811561584},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.049444496631622314},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fncom.2024.1455530","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1455530","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2024.1455530/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:39421849","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39421849","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:11484035","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11484035","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11484035/pdf/fncom-18-1455530.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:58c72293675843a8a675b09fa51c3fdb","is_oa":true,"landing_page_url":"https://doaj.org/article/58c72293675843a8a675b09fa51c3fdb","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 18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fncom.2024.1455530","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1455530","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2024.1455530/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":[],"awards":[{"id":"https://openalex.org/G3016189283","display_name":null,"funder_award_id":"62106119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5061954400","display_name":null,"funder_award_id":"62276151","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"},{"id":"https://openalex.org/F4320328844","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403079738.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1570411240","https://openalex.org/W2138913040","https://openalex.org/W2513853720","https://openalex.org/W2621826044","https://openalex.org/W2900282770","https://openalex.org/W2966081953","https://openalex.org/W3012561096","https://openalex.org/W3169602696","https://openalex.org/W3174155187","https://openalex.org/W4206609022","https://openalex.org/W4255185719","https://openalex.org/W4280607449","https://openalex.org/W4282927077","https://openalex.org/W4319866562","https://openalex.org/W4387409844"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4214914769","https://openalex.org/W4387251107","https://openalex.org/W2166309310","https://openalex.org/W4317717548","https://openalex.org/W4297621941"],"abstract_inverted_index":{"Pursuing":[0],"intelligence":[1],"is":[2,286,290,316,406,419,436,480,489,526,541],"a":[3,97,116,237,379,410,481,542],"long-term":[4,567],"goal":[5,568],"of":[6,101,186,249,296,421,428,458,569],"the":[7,17,50,68,107,123,164,170,182,216,224,247,254,270,293,330,341,348,397,422,426,441,455,469,523,553,562,566],"human,":[8],"towards":[9],"which":[10,210,345,405,435,488],"two":[11],"routes":[12],"have":[13,143,177,500],"been":[14],"paved":[15],"on":[16,148,281,396,468],"road:":[18],"neuromorphic":[19,40,51,149,165,190,320,363,399,417,429,473,498,524,556],"computing":[20,52,73,150,166,300,311,430,479,557],"driven":[21,27],"by":[22,28,159,319],"neuroscience":[23],"and":[24,39,59,77,95,103,121,128,135,142,151,192,196,204,220,233,274,313,326,333,355,378,391,412,528,536,558],"machine":[25,60,69,109,152,259,495,507,559],"learning":[26,61,70,110,153,230,252,260,508],"computer":[29],"science":[30],"(Pei":[31],"et":[32,43,46,64,85,155,302,337,402,432],"al.,":[33,44,47,65,86,156,303,338,403,433],"2019).":[34],"Spiking":[35],"neural":[36,56,208,360],"networks":[37,57,361],"(SNNs)":[38],"chips":[41],"(Basu":[42],"2022;Christensen":[45],"2022)":[48],"dominate":[49,67],"domain,":[53],"while":[54],"artificial":[55],"(ANNs)":[58],"accelerators":[62],"(Deng":[63,154],"2020)":[66],"domain.":[71],"Neuromorphic":[72,126,262,288,478],"with":[74,309,369],"efficient":[75,294,413],"models":[76,191,263,474],"hardware":[78,194,289,442],"has":[79,261],"shown":[80],"energy":[81],"efficiency":[82,450,457],"superiority":[83],"(Renner":[84],"2021),":[87],"however,":[88],"still":[89],"lies":[90],"in":[91,99,131,133,137,140,173,181,201,258,425,475,484,510],"its":[92,323],"infant":[93],"stage":[94],"presents":[96],"gap":[98,554],"terms":[100],"accuracy":[102],"applications":[104],"compared":[105],"to":[106,215,269,564],"mature":[108],"ecosystem.To":[111],"this":[112,461,476],"end,":[113],"we":[114,168,176,451,464,515],"proposed":[115],"Research":[117,171,462,477,539],"Topic,":[118,463],"named":[119],"\"Understanding":[120],"Bridging":[122],"Gap":[124],"between":[125,531,555],"Computing":[127],"Machine":[129],"Learning\",":[130],"Frontiers":[132,136],"Neuroscience":[134,139],"Computational":[138],"2019,":[141],"successfully":[144],"published":[145],"14":[146],"papers":[147],"2021).":[157],"Encouraged":[158],"such":[160],"positive":[161],"impetus":[162],"for":[163,236,292,375,384,408,416,472],"community,":[167],"relaunched":[169],"Topic":[172,540],"2022.This":[174],"time,":[175],"accepted":[178,465],"11":[179],"submissions":[180],"end.":[183],"The":[184,305],"scope":[185],"these":[187],"works":[188,549],"covers":[189],"algorithms,":[193,253,532],"implementation,":[195],"programming":[197,470],"frameworks.SNNs":[198],"encode":[199],"information":[200,206],"spike":[202,222,272],"events":[203],"process":[205],"using":[207],"dynamics,":[209],"differ":[211],"from":[212,242,454,494],"ANNs.":[213],"Due":[214],"complicated":[217],"spatiotemporal":[218],"dynamics":[219],"non-differentiable":[221],"activities,":[223],"SNN":[225],"domain":[226,483],"uses":[227],"plasticitybased":[228],"unsupervised":[229],"algorithms":[231],"(Diehl":[232],"Cook,":[234],"2015)":[235],"long":[238],"time":[239],"but":[240],"suffers":[241],"low":[243,265],"accuracy.":[244],"To":[245],"break":[246],"bottleneck":[248],"lacking":[250],"effective":[251],"sophisticated":[255],"backpropagation":[256],"method":[257],"enjoy":[264],"computational":[266],"costs":[267],"owing":[268],"binary":[271],"representation":[273],"sparse":[275],"operations.":[276],"However,":[277,322],"directly":[278],"executing":[279],"SNNs":[280,297],"GPUs":[282],"without":[283],"tailored":[284],"optimization":[285],"inefficient.":[287],"designed":[291],"execution":[295,328],"via":[298],"event-driven":[299],"(Merolla":[301],"2014).":[304],"decentralized":[306,327],"manycore":[307],"architecture":[308],"high":[310],"parallelism":[312],"memory":[314],"locality":[315],"widely":[317],"adopted":[318],"chips.":[321,364],"fragmented":[324],"memories":[325],"lowers":[329],"resource":[331,349],"utilization":[332],"processing":[334],"efficiency.":[335],"Wang":[336],"2023":[339],"propose":[340],"mapping":[342,357,367,377,386,414],"limit":[343,352],"concept":[344],"points":[346],"out":[347],"saving":[350],"upper":[351],"during":[353],"logical":[354,376],"physical":[356,385],"when":[358,522],"deploying":[359],"onto":[362],"A":[365],"closed-loop":[366],"strategy":[368],"an":[370,490],"asynchronous":[371],"4D":[372],"model":[373],"partition":[374],"Hamilton":[380],"loop":[381],"algorithm":[382],"(HLA)":[383],"are":[387,394],"elaborated.":[388],"Their":[389],"methods":[390],"performance":[392,505],"gains":[393],"validated":[395],"TianjicX":[398],"chip":[400],"(Ma":[401],"2022),":[404],"helpful":[407],"building":[409],"general":[411],"framework":[415,471],"hardware.Software":[418],"one":[420,466],"key":[423],"components":[424],"ecosystem":[427,525],"(Fang":[431],"2023),":[434],"sometimes":[437],"more":[438],"important":[439,491],"than":[440],"itself":[443],"because":[444],"it":[445,517],"determines":[446],"how":[447],"much":[448],"practical":[449],"can":[452,518,550],"gain":[453],"peak":[456],"hardware.":[459],"In":[460],"paper":[467],"neuroscience-driven":[482],"pursuing":[485],"brain-like":[486],"intelligence,":[487],"route":[492],"distinct":[493],"learning.":[496],"Although":[497],"systems":[499,509],"not":[501],"yet":[502],"demonstrated":[503],"superior":[504],"over":[506],"main":[511],"stream":[512],"intelligent":[513],"tasks,":[514],"believe":[516],"be":[519],"significantly":[520],"improved":[521],"constructed":[527],"becomes":[529],"iterative":[530],"models,":[533],"hardware,":[534],"software,":[535],"benchmarks.":[537],"This":[538],"quite":[543],"minor":[544],"step.":[545],"We":[546],"hope":[547],"future":[548],"really":[551],"bridge":[552],"learning,":[560],"along":[561],"way":[563],"reach":[565],"mimicking":[570],"brain":[571],"intelligence.":[572]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}