{"id":"https://openalex.org/W4399759340","doi":"https://doi.org/10.1088/2634-4386/ad9e2c","title":"D-SELD: Dataset-Scalable Exemplar LCA-Decoder","display_name":"D-SELD: Dataset-Scalable Exemplar LCA-Decoder","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4399759340","doi":"https://doi.org/10.1088/2634-4386/ad9e2c"},"language":"en","primary_location":{"id":"doi:10.1088/2634-4386/ad9e2c","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad9e2c","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2634-4386/ad9e2c","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099173815","display_name":"Sanaz Mahmoodi Takaghaj","orcid":"https://orcid.org/0000-0002-9523-690X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sanaz Mahmoodi Takaghaj","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9523-690X","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014048994","display_name":"Jack Sampson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jack Sampson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5099173815"],"corresponding_institution_ids":[],"apc_list":{"value":2000,"currency":"GBP","value_usd":2453},"apc_paid":{"value":2000,"currency":"GBP","value_usd":2453},"fwci":0.3937,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59070845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"4","issue":"4","first_page":"044009","last_page":"044009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973000288009644,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9684000015258789,"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":0.8307504057884216},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7783608436584473},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7584820985794067},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6720914840698242},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5155446529388428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44120341539382935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4179636240005493},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4144435524940491},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35645782947540283},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3235138952732086},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12300336360931396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307504057884216},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7783608436584473},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7584820985794067},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6720914840698242},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5155446529388428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44120341539382935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4179636240005493},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4144435524940491},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35645782947540283},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3235138952732086},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12300336360931396},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1088/2634-4386/ad9e2c","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad9e2c","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2406.10066","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.10066","pdf_url":"https://arxiv.org/pdf/2406.10066","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:f94caf2b435c4c759e5451074fdb9628","is_oa":true,"landing_page_url":"https://doaj.org/article/f94caf2b435c4c759e5451074fdb9628","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":"Neuromorphic Computing and Engineering, Vol 4, Iss 4, p 044009 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2634-4386/ad9e2c","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad9e2c","pdf_url":null,"source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1981025032","https://openalex.org/W2020676607","https://openalex.org/W2062118960","https://openalex.org/W2069959554","https://openalex.org/W2100543212","https://openalex.org/W2105464873","https://openalex.org/W2112181056","https://openalex.org/W2129812935","https://openalex.org/W2130187411","https://openalex.org/W2138913040","https://openalex.org/W2145889472","https://openalex.org/W2150355110","https://openalex.org/W2159951683","https://openalex.org/W2314470091","https://openalex.org/W2395579298","https://openalex.org/W2513148968","https://openalex.org/W2513853720","https://openalex.org/W2593532349","https://openalex.org/W2620474507","https://openalex.org/W2745933219","https://openalex.org/W2775079417","https://openalex.org/W2783525259","https://openalex.org/W2807436399","https://openalex.org/W2886851211","https://openalex.org/W2960052088","https://openalex.org/W2963446712","https://openalex.org/W2966081953","https://openalex.org/W2982083293","https://openalex.org/W2984844508","https://openalex.org/W3007283957","https://openalex.org/W3013080934","https://openalex.org/W3040646053","https://openalex.org/W3124478039","https://openalex.org/W3124546450","https://openalex.org/W3137946936","https://openalex.org/W3139657805","https://openalex.org/W3208650852","https://openalex.org/W4205804651","https://openalex.org/W4206310440","https://openalex.org/W4210530509","https://openalex.org/W4214639850","https://openalex.org/W4254436426","https://openalex.org/W4309618925","https://openalex.org/W4361286998","https://openalex.org/W4385896568","https://openalex.org/W4390777363","https://openalex.org/W4404173140","https://openalex.org/W6602394311","https://openalex.org/W6662101812","https://openalex.org/W6674330103","https://openalex.org/W6675026286","https://openalex.org/W6676297131","https://openalex.org/W6676903177","https://openalex.org/W6682386578","https://openalex.org/W6682778277","https://openalex.org/W6686394896","https://openalex.org/W6687483927","https://openalex.org/W6749776392","https://openalex.org/W6752381671","https://openalex.org/W6753645039","https://openalex.org/W6754595668","https://openalex.org/W6759638486","https://openalex.org/W6763422710","https://openalex.org/W6767692083","https://openalex.org/W6774340010","https://openalex.org/W6784333009","https://openalex.org/W6785440099","https://openalex.org/W6791793911","https://openalex.org/W6793164127","https://openalex.org/W6793240369","https://openalex.org/W6795170594","https://openalex.org/W6797410797","https://openalex.org/W6801641874","https://openalex.org/W6803524348","https://openalex.org/W6837117956","https://openalex.org/W6846666112","https://openalex.org/W6854973509","https://openalex.org/W6857973906"],"related_works":["https://openalex.org/W3089892344","https://openalex.org/W2960220682","https://openalex.org/W4372267706","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W2885510266","https://openalex.org/W4288055417","https://openalex.org/W4287758233","https://openalex.org/W3136467750","https://openalex.org/W4392309369"],"abstract_inverted_index":{"Abstract":[0],"Neuromorphic":[1],"computing":[2,17],"has":[3],"recently":[4],"gained":[5],"significant":[6],"attention":[7],"as":[8],"a":[9,122,157],"promising":[10],"approach":[11],"for":[12,38,42,90],"developing":[13],"energy-efficient,":[14],"massively":[15],"parallel":[16],"systems":[18],"inspired":[19],"by":[20,68],"the":[21,25,79,101,137,146],"spiking":[22,31],"behavior":[23],"of":[24,45,59,131,161],"human":[26],"brain":[27],"and":[28,78,104,148,168],"natively":[29],"mapping":[30],"neural":[32],"networks":[33],"(SNNs).":[34],"Effective":[35],"training":[36,50,109,118],"algorithms":[37],"SNNs":[39,110,144],"are":[40],"imperative":[41],"increased":[43],"adoption":[44],"neuromorphic":[46,91],"platforms;":[47],"however,":[48],"SNN":[49],"continues":[51],"to":[52,84,129],"lag":[53],"behind":[54],"advances":[55],"in":[56],"other":[57],"classes":[58],"ANN.":[60],"In":[61],"this":[62,66],"paper,":[63],"we":[64,99,155],"reduce":[65,100],"gap":[67],"proposing":[69],"an":[70,86],"innovative":[71],"encoder\u2013decoder":[72],"technique":[73],"that":[74,124],"leverages":[75],"sparse":[76],"coding":[77],"locally":[80],"competitive":[81],"algorithm":[82,87],"(LCA)":[83],"provide":[85],"specifically":[88],"designed":[89],"platforms.":[92],"Using":[93],"our":[94],"proposed":[95],"Dataset-Scalable":[96],"Exemplar":[97],"LCA-Decoder":[98],"computational":[102],"demands":[103],"memory":[105],"requirements":[106],"associated":[107],"with":[108],"using":[111,143,172],"error":[112],"backpropagation":[113],"methods":[114],"on":[115,145,163,170],"increasingly":[116],"larger":[117],"sets.":[119],"We":[120],"offer":[121],"solution":[123],"can":[125],"be":[126],"scalably":[127],"applied":[128],"datasets":[130],"any":[132],"size.":[133],"Our":[134],"results":[135],"show":[136],"highest":[138],"reported":[139],"top-1":[140,159],"test":[141],"accuracy":[142,160],"ImageNet":[147,164],"CIFAR100":[149,171],"datasets,":[150],"surpassing":[151],"previous":[152],"benchmarks.":[153],"Specifically,":[154],"achieved":[156],"record":[158],"80.75%":[162],"(ILSVRC2012":[165],"validation":[166],"set)":[167],"79.32%":[169],"SNNs.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
