{"id":"https://openalex.org/W2897294615","doi":"https://doi.org/10.1109/ijcnn.2018.8489486","title":"Spike Counts Based Low Complexity Learning with Binary Synapse","display_name":"Spike Counts Based Low Complexity Learning with Binary Synapse","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897294615","doi":"https://doi.org/10.1109/ijcnn.2018.8489486","mag":"2897294615"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041682981","display_name":"Hoyoung Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoyoung Tang","raw_affiliation_strings":["School of Electrical Engineering, Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084915481","display_name":"Heetak Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heetak Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016424347","display_name":"Donghyeon Cho","orcid":"https://orcid.org/0000-0002-2184-921X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghyeon Cho","raw_affiliation_strings":["School of Electrical Engineering, Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101839916","display_name":"Jongsun Park","orcid":"https://orcid.org/0000-0003-3251-0024"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongsun Park","raw_affiliation_strings":["School of Electrical Engineering, Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"8"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9991000294685364,"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/mnist-database","display_name":"MNIST database","score":0.9067962169647217},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.7389815449714661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967719793319702},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.6026194095611572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5967918634414673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5434281229972839},{"id":"https://openalex.org/keywords/synapse","display_name":"Synapse","score":0.5355126261711121},{"id":"https://openalex.org/keywords/synaptic-weight","display_name":"Synaptic weight","score":0.5274387001991272},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5010237693786621},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4955805540084839},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.4894627332687378},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4668691158294678},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41055363416671753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41031455993652344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15945333242416382},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15519419312477112},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06849858164787292}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9067962169647217},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7389815449714661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967719793319702},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.6026194095611572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5967918634414673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5434281229972839},{"id":"https://openalex.org/C127445978","wikidata":"https://www.wikidata.org/wiki/Q187181","display_name":"Synapse","level":2,"score":0.5355126261711121},{"id":"https://openalex.org/C66949984","wikidata":"https://www.wikidata.org/wiki/Q7662043","display_name":"Synaptic weight","level":3,"score":0.5274387001991272},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5010237693786621},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4955805540084839},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.4894627332687378},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4668691158294678},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41055363416671753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41031455993652344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15945333242416382},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15519419312477112},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06849858164787292},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1570411240","https://openalex.org/W1994435842","https://openalex.org/W2038511109","https://openalex.org/W2093320793","https://openalex.org/W2105533736","https://openalex.org/W2112796928","https://openalex.org/W2131763976","https://openalex.org/W2147101007","https://openalex.org/W2150389614","https://openalex.org/W2164258820","https://openalex.org/W2463288820","https://openalex.org/W2528596247","https://openalex.org/W2736237086"],"related_works":["https://openalex.org/W3137378424","https://openalex.org/W2809732489","https://openalex.org/W4287780255","https://openalex.org/W3023361272","https://openalex.org/W4281699635","https://openalex.org/W4313442939","https://openalex.org/W4214864280","https://openalex.org/W2995498660","https://openalex.org/W2088600489","https://openalex.org/W2736237086"],"abstract_inverted_index":{"Two":[0],"main":[1],"difficulties":[2],"encountered":[3],"when":[4],"implementing":[5],"the":[6,37,56,60,82,87,93,112,129,131,140,153,157,166,187,202,214],"neuromorphic":[7],"system":[8],"that":[9,52,176],"supports":[10],"pre-":[11,72],"and":[12,29,73],"post-synaptic":[13,74,132],"textbf":[14,46,75],"spike":[15,47,76,109],"timing":[16],"based":[17,49,106],"real-time":[18],"learning,":[19],"are":[20,90,104,119,135,149],"1)":[21],"huge":[22],"memory":[23],"size":[24],"to":[25,35,138,156,162,213],"store":[26],"synaptic":[27,38,88,117,181],"weights":[28,89,118,154,182],"2)":[30],"large":[31],"amount":[32],"of":[33,59,165,204],"computations":[34],"update":[36,98],"weights.":[39],"In":[40,200],"this":[41],"paper,":[42],"we":[43],"present":[44],"a":[45],"counts":[48,77,134],"learning":[50,64,68,189,216],"method":[51],"can":[53],"significantly":[54],"relieve":[55],"hardware":[57],"burden":[58],"real":[61],"time":[62],"unsupervised":[63],"process.":[65],"The":[66,145,172],"novel":[67],"approach":[69,190],"uses":[70],"both":[71],"as":[78],"decision":[79],"metrics":[80],"in":[81],"following":[83,92],"two":[84],"ways:":[85],"First,":[86],"updated":[91,120],"proposed":[94,188],"simplified":[95],"mean-based":[96],"weight":[97,147,167,205],"rules,":[99],"where":[100],"binary":[101],"feature":[102,113],"images":[103],"produced":[105],"on":[107],"pre-synaptic":[108],"counts.":[110],"Using":[111],"image,":[114],"1":[115,179],"bit":[116,180],"only":[121,151,178],"once":[122],"for":[123,152],"each":[124],"input":[125],"image.":[126],"When":[127],"updating":[128],"weights,":[130],"spiking":[133],"also":[136],"used":[137],"select":[139],"most":[141],"active":[142],"excitatory":[143,159],"neuron.":[144],"actual":[146],"updates":[148,168,206],"performed":[150],"connected":[155],"dominant":[158],"neuron,":[160],"leading":[161],"further":[163],"reduction":[164],"without":[169],"sacrificing":[170],"accuracy.":[171],"simulation":[173],"results":[174],"show":[175],"using":[177],"with":[183,196],"400":[184],"output":[185],"neurons,":[186],"achieves":[191],"82":[192],"%":[193],"recognition":[194],"accuracy":[195],"MNIST":[197],"test":[198],"set.":[199],"addition,":[201],"number":[203],"is":[207],"reduced":[208],"by":[209],"15.3":[210],"times":[211],"compared":[212],"state-of-the-art":[215],"method.":[217]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}