{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T10:30:19Z","timestamp":1742380219030,"version":"3.28.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852346","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":24,"title":["Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP"],"prefix":"10.1109","author":[{"given":"Pierre","family":"Falez","sequence":"first","affiliation":[]},{"given":"Pierre","family":"Tirilly","sequence":"additional","affiliation":[]},{"given":"Ioan","family":"Marius Bilasco","sequence":"additional","affiliation":[]},{"given":"Philippe","family":"Devienne","sequence":"additional","affiliation":[]},{"given":"Pierre","family":"Boulet","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/S0893-6080(01)00083-1","article-title":"Spike-based strategies for rapid processing","volume":"14","author":"thorpe","year":"2001","journal-title":"Neural Networks"},{"key":"ref30","article-title":"Bio-inspired spiking convolutional neural network using layer-wise sparse coding and STDP learning","author":"tavanaei","year":"2016","journal-title":"arXiv preprint arXiv 1611 03000"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00403-9"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2015.00099"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280696"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489410"},{"key":"ref14","article-title":"Unsupervised visual feature learning with STDP: How far are we from traditional feature learning approaches?","author":"falez","year":"2019","journal-title":"arXiv preprint arXiv 1901 04217"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref16","first-page":"1457","article-title":"Non-negative matrix factorization with sparseness constraints","volume":"5","author":"o hoyer","year":"2004","journal-title":"Journal of Machine Learning Research"},{"key":"ref17","first-page":"1","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","volume":"18","author":"hubara","year":"2018","journal-title":"Journal of Machine Learning Research"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.005"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2017.00123","article-title":"A 4-fj\/spike artificial neuron in 65 nm CMOS technology","volume":"11","author":"sourikopoulos","year":"2017","journal-title":"Frontiers in Neuroscience"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2011.6033311"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1038\/nature24270","article-title":"Mastering the game of go without human knowledge","volume":"550","author":"silver","year":"2017","journal-title":"Nature"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.18-24-10464.1998"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2015.00151"},{"article-title":"Deep Learning Processor List","year":"0","author":"tang","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00658-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0788-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0788-3"},{"key":"ref2","article-title":"Towards biologically plausible deep learning","author":"bengio","year":"2015","journal-title":"arXiv preprint 1502 04156"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6706961"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139042918"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref22","first-page":"2924","article-title":"On the number of linear regions of deep neural networks","author":"mont\u00fafar","year":"2014","journal-title":"NIPS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref24","article-title":"Temporally efficient deep learning with spikes","author":"o\u2019connor","year":"2017","journal-title":"arXiv preprint 1706 04159"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1109\/TNNLS.2018.2826721","article-title":"First-spike-based visual categorization using reward-modulated STDP","author":"mozafari","year":"2018","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref26","first-page":"1775","article-title":"Simulation of a memristor-based spiking neural network immune to device variations","author":"querlioz","year":"2011","journal-title":"IJCNN"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-92910-9_10"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852346.pdf?arnumber=8852346","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:54:04Z","timestamp":1658094844000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852346\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852346","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}