{"id":"https://openalex.org/W4312328959","doi":"https://doi.org/10.1109/iscas48785.2022.9937875","title":"Improving Spiking Neural Network Accuracy Using Time-based Neurons","display_name":"Improving Spiking Neural Network Accuracy Using Time-based Neurons","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312328959","doi":"https://doi.org/10.1109/iscas48785.2022.9937875"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937875","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5023646249","display_name":"Hanseok Kim","orcid":"https://orcid.org/0009-0007-4260-0556"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hanseok Kim","raw_affiliation_strings":["Seoul National University,Department of ECE, ISRC,Seoul,South Korea","Department of ECE, ISRC, Seoul National University, Seoul, South Korea","Samsung Electronics, Hawseong, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University,Department of ECE, ISRC,Seoul,South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of ECE, ISRC, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Samsung Electronics, Hawseong, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088953657","display_name":"Wooseok Choi","orcid":"https://orcid.org/0000-0003-4064-4575"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo-Seok Choi","raw_affiliation_strings":["Seoul National University,Department of ECE, ISRC,Seoul,South Korea","Department of ECE, ISRC, Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University,Department of ECE, ISRC,Seoul,South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of ECE, ISRC, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023646249"],"corresponding_institution_ids":["https://openalex.org/I139264467","https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":4.1891,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.96325528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2162","last_page":"2166"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.996999979019165,"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/T10320","display_name":"Neural Networks and Applications","score":0.9947999715805054,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8520870208740234},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8337491750717163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7340844869613647},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7192093729972839},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6305049657821655},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.511015772819519},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5064128637313843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4600718915462494},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.42420443892478943},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.4189102351665497},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3738887906074524},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.103168785572052},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09525883197784424}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8520870208740234},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8337491750717163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340844869613647},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7192093729972839},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6305049657821655},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.511015772819519},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5064128637313843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4600718915462494},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.42420443892478943},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.4189102351665497},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3738887906074524},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.103168785572052},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09525883197784424},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937875","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1645800954","https://openalex.org/W2020676607","https://openalex.org/W2112796928","https://openalex.org/W2513853720","https://openalex.org/W2604446925","https://openalex.org/W2621826044","https://openalex.org/W2733297609","https://openalex.org/W2775079417","https://openalex.org/W2891530223","https://openalex.org/W2962908174","https://openalex.org/W2963335874","https://openalex.org/W2984844508","https://openalex.org/W3008860108","https://openalex.org/W6739434765","https://openalex.org/W6754595668","https://openalex.org/W6774390234"],"related_works":["https://openalex.org/W4288417961","https://openalex.org/W2921035465","https://openalex.org/W2947372880","https://openalex.org/W3041589219","https://openalex.org/W3035000326","https://openalex.org/W2080333131","https://openalex.org/W2951472016","https://openalex.org/W4328096160","https://openalex.org/W4224329724","https://openalex.org/W4298854913"],"abstract_inverted_index":{"Due":[0],"to":[1,5,37,46,49,63,112,140],"the":[2,33,84,106,126,132,136,141,147,150,155,166],"fundamental":[3],"limit":[4],"reducing":[6],"power":[7],"consumption":[8],"of":[9,42,78,87,108,154,165],"running":[10],"deep":[11],"learning":[12],"models":[13,83],"on":[14,18,23,146],"von-Neumann":[15],"architecture,":[16],"research":[17],"neuromorphic":[19],"computing":[20],"systems":[21],"based":[22],"low-power":[24],"spiking":[25],"neural":[26],"networks":[27],"using":[28],"analog":[29,59],"neurons":[30,44,60,91],"is":[31],"in":[32,93,125],"spotlight.":[34],"In":[35,76],"order":[36],"integrate":[38],"a":[39,51,94,118],"large":[40],"number":[41],"neurons,":[43],"need":[45],"be":[47,103],"designed":[48,92],"occupy":[50],"small":[52],"area,":[53],"but":[54],"as":[55],"technology":[56],"scales":[57],"down,":[58],"are":[61],"difficult":[62],"scale,":[64],"and":[65,73,97,129],"they":[66],"suffer":[67],"from":[68,163],"reduced":[69],"voltage":[70],"headroom/dynamic":[71],"range":[72],"circuit":[74],"nonlinearities.":[75],"light":[77],"this,":[79],"this":[80,114],"paper":[81],"first":[82],"nonlinear":[85],"behavior":[86],"existing":[88,142],"current-mirror-based":[89],"voltage-domain":[90,143],"28nm":[95],"process,":[96],"show":[98],"SNN":[99],"inference":[100,137,151],"accuracy":[101,138],"can":[102],"degraded":[104],"by":[105,159],"effect":[107],"neuron\u2019s":[109],"nonlinearity.":[110],"Then,":[111],"mitigate":[113],"problem,":[115],"we":[116],"propose":[117],"novel":[119],"neuron,":[120],"which":[121],"processes":[122],"incoming":[123],"spikes":[124],"time":[127],"domain":[128],"greatly":[130],"improves":[131],"linearity,":[133],"thereby":[134],"improving":[135],"compared":[139],"neuron.":[144,168],"Tested":[145],"MNIST":[148],"dataset,":[149],"error":[152],"rate":[153],"proposed":[156],"neuron":[157],"differs":[158],"less":[160],"than":[161],"0.1%":[162],"that":[164],"ideal":[167]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}