{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:32:17Z","timestamp":1776990737699,"version":"3.51.4"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61401303"],"award-info":[{"award-number":["61401303"]}],"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":["51578189"],"award-info":[{"award-number":["51578189"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2016]]},"DOI":"10.1109\/access.2016.2604397","type":"journal-article","created":{"date-parts":[[2016,9,5]],"date-time":"2016-09-05T18:05:12Z","timestamp":1473098712000},"page":"5169-5178","source":"Crossref","is-referenced-by-count":56,"title":["A Deep Learning Framework of Quantized Compressed Sensing for Wireless Neural Recording"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4124-9350","authenticated-orcid":false,"given":"Biao","family":"Sun","sequence":"first","affiliation":[]},{"given":"Hui","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Kefan","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Xinshan","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0103945"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3626-0"},{"key":"ref33","first-page":"449","article-title":"ReconNet: Non-iterative reconstruction of images from compressively sensed random measurements","author":"kulkarni","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2015.7447163"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0909892106"},{"key":"ref30","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2013020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/18.915652"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01340.x"},{"key":"ref34","article-title":"Deep fullyconnected networks for video compressive sensing","author":"iliadis","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.909108"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1137\/S003614450037906X","article-title":"Atomic decomposition by basis pursuit","volume":"43","author":"chen","year":"2001","journal-title":"SIAM Rev"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2009.04.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2014.11.010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2936"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2012.2220392"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2744769.2744792"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2014.2387677"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2009.5205695"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2016.2550602"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2217334"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2011.6034168"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1152\/jn.2000.84.1.390","article-title":"Intracellular features predicted by extracellular recordings in the hippocampus in vivo","volume":"84","author":"henze","year":"2000","journal-title":"J Neurophysiol"},{"key":"ref10","article-title":"Quantized iterative hard thresholding: Bridging 1-bit and high-resolution quantized compressed sensing","author":"jacques","year":"2013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2256901"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2158882"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2013.2284254"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2014.2359180"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/BioCAS.2014.6981632"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2015.7168807"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2011.2179451"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1219540110"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2318139"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2011.02.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2014.7064270"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2008.4523099"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.885507"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/18.720541"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.crma.2008.03.014"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1162\/089976604774201631"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2093310"},{"key":"ref46","first-page":"40","article-title":"Feature selection using a multilayer perceptron","volume":"2","author":"ruck","year":"1990","journal-title":"J Neural Netw Comput"},{"key":"ref45","article-title":"Lecture 6e: Rmsprop: Divide the gradient by a running average of its recent magnitude","author":"hinton","year":"2013","journal-title":"Neural Netw Mach Learning"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref47","volume":"3","author":"haykin","year":"2009","journal-title":"Neural Networks and Learning Machines"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/79.799930"},{"key":"ref41","doi-asserted-by":"crossref","DOI":"10.21236\/ADA164453","article-title":"Learning internal representations by error propagation","author":"rumelhart","year":"1985"},{"key":"ref44","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"bengio","year":"2013"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/5.843002"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/7419931\/07560597.pdf?arnumber=7560597","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:26:52Z","timestamp":1642004812000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7560597\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2016.2604397","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}