{"id":"https://openalex.org/W4385488781","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191585","title":"E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders","display_name":"E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488781","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191585"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5039543907","display_name":"Vineet Kotariya","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vineet Kotariya","raw_affiliation_strings":["IIT-Bombay,Department of Electrical Engineering,Mumbai,India","Department of Electrical Engineering, IIT-Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"IIT-Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, IIT-Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073551695","display_name":"Anmol Biswas","orcid":"https://orcid.org/0000-0002-2363-5864"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anmol Biswas","raw_affiliation_strings":["IIT-Bombay,Department of Electrical Engineering,Mumbai,India","Department of Electrical Engineering, IIT-Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"IIT-Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, IIT-Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073593093","display_name":"Udayan Ganguly","orcid":"https://orcid.org/0000-0002-1498-5993"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Udayan Ganguly","raw_affiliation_strings":["IIT-Bombay,Department of Electrical Engineering,Mumbai,India","Department of Electrical Engineering, IIT-Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"IIT-Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, IIT-Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039543907"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.6686,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6847705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9994000196456909,"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.9487571716308594},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.8328325748443604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8041110634803772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6848050355911255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6588996648788452},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6470382213592529},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5344257950782776},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4978041648864746},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42222264409065247},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.41855210065841675},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3882915675640106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.360400915145874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3289806842803955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09160038828849792}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9487571716308594},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.8328325748443604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8041110634803772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6848050355911255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6588996648788452},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6470382213592529},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5344257950782776},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4978041648864746},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42222264409065247},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41855210065841675},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3882915675640106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.360400915145874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3289806842803955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09160038828849792},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6399999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1570411240","https://openalex.org/W1976695311","https://openalex.org/W2006370340","https://openalex.org/W2110278466","https://openalex.org/W2133128597","https://openalex.org/W2142505562","https://openalex.org/W2735633774","https://openalex.org/W2735894830","https://openalex.org/W2779025322","https://openalex.org/W2783525259","https://openalex.org/W2805087868","https://openalex.org/W2892839088","https://openalex.org/W2896097393","https://openalex.org/W3102150561","https://openalex.org/W3158732210","https://openalex.org/W4391602018","https://openalex.org/W6640963894"],"related_works":["https://openalex.org/W3156786002","https://openalex.org/W3123344745","https://openalex.org/W4302303815","https://openalex.org/W3208584567","https://openalex.org/W2270076411","https://openalex.org/W2597787948","https://openalex.org/W3192794374","https://openalex.org/W4246751904","https://openalex.org/W4221031031","https://openalex.org/W2292254049"],"abstract_inverted_index":{"Sparse":[0],"coding":[1,95],"algorithms":[2,20],"can":[3,36],"be":[4,37,75],"used":[5,38],"to":[6,10,17,54,74,143,173,180],"train":[7,181],"a":[8,65,79,86,100,107,144,164,182,187,191],"network":[9],"perform":[11],"compression":[12],"and":[13,57,154,207],"image":[14,28,40],"reconstruction":[15],"similar":[16,188],"autoencoders.":[18],"These":[19,43],"have":[21,45],"allowed":[22],"unsupervised":[23],"learning":[24,68,162,194],"of":[25,48,64,110,139,167,210],"biologically":[26],"plausible":[27],"filters":[29],"in":[30,61,78,96,137],"Spiking":[31],"Neural":[32,102],"Networks":[33],"(SNNs)":[34],"that":[35,92],"for":[39,199],"classification":[41],"tasks.":[42],"methods":[44],"the":[46,62,70,113,119,149,160,197,205],"advantage":[47],"being":[49],"more":[50,134],"power":[51,120],"efficient":[52,135],"due":[53],"their":[55],"sparsity":[56],"spiking":[58],"nature.":[59],"However,":[60],"absence":[63],"temporally":[66,88,153],"local":[67,89,193],"rule,":[69],"training":[71],"step":[72],"has":[73],"done":[76],"offline":[77],"separate":[80],"conventional":[81],"computing":[82],"framework.":[83],"We":[84,98],"propose":[85],"spike-based":[87],"update":[90],"rule":[91,195],"implements":[93],"sparse":[94],"SNNs.":[97],"trained":[99],"Convolutional":[101],"Network":[103],"(CNN)":[104],"which":[105,131],"achieves":[106],"test":[108],"accuracy":[109],"98.35%":[111],"on":[112,201],"MNIST":[114,125],"dataset.":[115],"Furthermore,":[116],"it":[117,157],"improves":[118],"efficiency":[121],"by":[122,127],"representing":[123],"an":[124],"digit":[126],"around":[128,174],"10,000":[129,168],"spikes":[130],"is":[132],"4x":[133],"representation,":[136],"terms":[138],"bits":[140],"required,":[141],"compared":[142,172],"standard":[145],"non-spiking":[146,184],"CNN.":[147],"Since":[148],"updates":[150],"are":[151],"both":[152],"spatially":[155],"local,":[156],"also":[158],"performs":[159],"required":[161,179],"within":[163],"small":[165],"multiple":[166],"operations":[169,176],"per":[170,177],"sample":[171,178],"1,870,000":[175],"typical":[183],"CNN":[185],"having":[186],"structure.":[189],"Such":[190],"spatio-temporally":[192],"opens":[196],"way":[198],"implementation":[200],"neuromorphic":[202],"hardware":[203],"without":[204],"systemic":[206],"operational":[208],"inefficiencies":[209],"global":[211],"information":[212],"broadcast.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}