J. Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability. Nat. Commun. 8, 752 (2017). Article Google Scholar Le Gallo, M. et al. Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars. ...
J. Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability. Nat. Commun. 8, 752 (2017). Article Google Scholar Le Gallo, M. et al. Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars. ...
Furthermore, unlike the synapse weights in a neural network, the parameters of our kernel regression models are amenable to human interpretation and can give useful information about the building being studied. We extensively test our proposed algorithms using a new dataset consisting of 1.5 years ...
A dual-mode weight storage analog neural network platform for on-chip applications a learning ability of the proposed architecture, fast dynamic programming of the weight memory during training, and high precision non-volatile storage of we... D Maliuk,Y Makris - IEEE 被引量: 7发表: 2012年 ...
The proposed DS-UNeXt achieves Dice indices of 80.65% and 90.88% on the synapse for the multiorgan segmentation dataset and the automatic cardiac diagnosis challenge (ACDC) dataset, respectively. Moreover, extensive experiments show that DS-UNeXt transcends several state-of-the-art segmentation ...
The read voltage is imposed on the WL sequentially along the synaptic string to perform inference in the neural network. In the case of small-sized networks, many cells are wasted when mapped to one WL, so there is also a method of mapping multiple synapse layers to one layer [40]. In...