{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:24:51Z","timestamp":1740147891484,"version":"3.37.3"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NRF","award":["2015M3A7B7045449"],"award-info":[{"award-number":["2015M3A7B7045449"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Circuits Syst."],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/tbcas.2019.2929696","type":"journal-article","created":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T23:13:35Z","timestamp":1563837215000},"page":"986-998","source":"Crossref","is-referenced-by-count":6,"title":["A Multilayer-Learning Current-Mode Neuromorphic System With Analog-Error Compensation"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9833-1718","authenticated-orcid":false,"given":"Hyunwoo","family":"Son","sequence":"first","affiliation":[]},{"given":"Hwasuk","family":"Cho","sequence":"additional","affiliation":[]},{"given":"Jungho","family":"Lee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2122-1481","authenticated-orcid":false,"given":"Seongun","family":"Bae","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1528-6235","authenticated-orcid":false,"given":"Byungsub","family":"Kim","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8144-9165","authenticated-orcid":false,"given":"Hong-June","family":"Park","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1814-6211","authenticated-orcid":false,"given":"Jae-Yoon","family":"Sim","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref11","first-page":"1","article-title":"A 45 nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons","author":"seo","year":"2011","journal-title":"Proc IEEE Custom Integr Circuits Conf"},{"key":"ref12","first-page":"140","article-title":"A 65 nm 236.5nJ\/classification neuromorphic processor with 7.5% energy overhead on-chip learning using direct spike-only feedback","author":"park","year":"2019","journal-title":"Proc IEEE Int Solid-State Circuits Conf Dig Tech Papers"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2017.2712626"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2017.2762002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2018.8310398"},{"key":"ref16","first-page":"496","article-title":"A 65 nm 4 Kb algorithm-dependent computing-in- memory SRAM unit-macro with 2.3 ns and 55.8TOPS\/W fully parallel product-sum operation for binary DNN edge processors","author":"khwa","year":"2018","journal-title":"Proc IEEE Int Solid-State Circuits Conf Dig Tech Papers"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2012.2184285"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1038\/81453","article-title":"Synaptic plasticity: taming the beast","volume":"3","author":"abbot","year":"2000","journal-title":"Nature Neurosci"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/78829"},{"key":"ref4","first-page":"222","article-title":"An always-on 3.8?J\/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28 nm CMOS","author":"bankman","year":"2018","journal-title":"Proc IEEE Int Solid-State Circuits Conf Dig Tech Papers"},{"key":"ref3","first-page":"242","article-title":"A 28 nm SoC with a 1.2 GHz 568nJ\/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications","author":"whatmough","year":"2017","journal-title":"Proc IEEE Int Solid-State Circuits Conf Dig Tech Papers"},{"key":"ref6","first-page":"4107","article-title":"Binarized neural networks","volume":"29","author":"hubara","year":"2016","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2018.8310262"},{"key":"ref8","article-title":"Bitwise neural networks","author":"kim","year":"2015","journal-title":"Int Conf Machine Learning (ICML) Workshop on Resource-Efficient Machine Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2017.7870353"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CICC.2011.6055294"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2616357"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33275-3_2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017052"},{"key":"ref25","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume":"15","author":"glorot","year":"2011","journal-title":"Proc Int Conf Artif Intell Statist"}],"container-title":["IEEE Transactions on Biomedical Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4156126\/8891924\/08768007.pdf?arnumber=8768007","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:14:05Z","timestamp":1657746845000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8768007\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":26,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tbcas.2019.2929696","relation":{},"ISSN":["1932-4545","1940-9990"],"issn-type":[{"type":"print","value":"1932-4545"},{"type":"electronic","value":"1940-9990"}],"subject":[],"published":{"date-parts":[[2019,10]]}}}