{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T21:41:35Z","timestamp":1768340495611,"version":"3.49.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61774028"],"award-info":[{"award-number":["61774028"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771097"],"award-info":[{"award-number":["61771097"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for the China Central Universities","award":["ZYGX2016Z007"],"award-info":[{"award-number":["ZYGX2016Z007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Circuits Syst."],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1109\/tbcas.2019.2952714","type":"journal-article","created":{"date-parts":[[2019,11,11]],"date-time":"2019-11-11T22:31:01Z","timestamp":1573511461000},"page":"274-282","source":"Crossref","is-referenced-by-count":17,"title":["Application of Deep Compression Technique in Spiking Neural Network Chip"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7314-111X","authenticated-orcid":false,"given":"Yanchen","family":"Liu","sequence":"first","affiliation":[]},{"given":"Kun","family":"Qian","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2273-5449","authenticated-orcid":false,"given":"Shaogang","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Kun","family":"An","sequence":"additional","affiliation":[]},{"given":"Sheng","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Xitong","family":"Zhan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7183-422X","authenticated-orcid":false,"given":"J. J.","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6751-7272","authenticated-orcid":false,"given":"Rui","family":"Guo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6440-1079","authenticated-orcid":false,"given":"Yuancong","family":"Wu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1098-9575","authenticated-orcid":false,"given":"Tu-Pei","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Yu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0615-7036","authenticated-orcid":false,"given":"Yang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"442","article-title":"Tensorizing neural networks","author":"novikov","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","article-title":"Dsd: Dense-sparse-dense training for deep neural networks","author":"han","year":"2016","journal-title":"arXiv 1607 04381"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3005348"},{"key":"ref32","article-title":"Pruning filters for efficient convnets","author":"li","year":"2016","journal-title":"arXiv 1608 08710"},{"key":"ref31","article-title":"Pruning convolutional neural networks for resource efficient transfer learning","author":"molchanov","year":"2016","journal-title":"arXiv 1611 06440"},{"key":"ref30","first-page":"164","article-title":"Second order derivatives for network pruning: Optimal brain surgeon","author":"hassibi","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","first-page":"4107","article-title":"Binarized neural networks","author":"hubara","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","article-title":"Low-rank approximations for conditional feedforward computation in deep neural networks","author":"davis","year":"2013","journal-title":"arXiv 1312 4461"},{"key":"ref35","first-page":"6869","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","volume":"18","author":"hubara","year":"2017","journal-title":"J Mach Learn Res"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021745"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2013.2259038"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2869974"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33269-2_16"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2313565"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2013.2284184"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5536970"},{"key":"ref15","article-title":"Automated characterization of a wafer-scale neuromorphic hardware system","author":"schmidt","year":"0","journal-title":"Master thesis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00010"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2014.2379294"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/NOCS.2012.17"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2012.289"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2005.1515715"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2852711"},{"key":"ref27","article-title":"The MNIST database of handwritten digits","author":"lecun","year":"0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1063\/1.5040413"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/5.58356"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2005.323"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2665671"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2013.09.009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.08.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-30768-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2013.05.011"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2880033"},{"key":"ref46","first-page":"941","article-title":"Chip temperature optimization for dark silicon many-core systems","volume":"37","author":"li","year":"2018","journal-title":"IEEE Trans Comput Aided Des Integr Circuits Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00141"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MDAT.2016.2633408"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2018.112130359"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2015.2474396"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.1974.1050511"},{"key":"ref24","first-page":"145","article-title":"A 0.086-mm$^2$ 12.7-pj\/sop 64k-synapse 256-neuron online-learning digital spiking neuromorphic processor in 28-nm CMOS","volume":"13","author":"frenkel","year":"2019","journal-title":"IEEE Trans Biomed Circuits Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2819366"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2884901"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2013.90"},{"key":"ref26","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015","journal-title":"arXiv 1510 00149 [cs]"},{"key":"ref43","first-page":"1131","article-title":"Is dark silicon useful? harnessing the four horsemen of the coming dark silicon apocalypse","author":"taylor","year":"0","journal-title":"Proc Des Autom Conf"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2928793"}],"container-title":["IEEE Transactions on Biomedical Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4156126\/9049430\/08894853.pdf?arnumber=8894853","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:04:01Z","timestamp":1651079041000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8894853\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":46,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tbcas.2019.2952714","relation":{},"ISSN":["1932-4545","1940-9990"],"issn-type":[{"value":"1932-4545","type":"print"},{"value":"1940-9990","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4]]}}}