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- W2737003781 abstract "Motivated by advantages of current-mode design, this brief contribution explores the implementation of weight matrices in neuromemristive systems via current-mode memristor crossbar circuits. After deriving theoretical results for the range and distribution of weights in the current-mode design, it is shown that any weight matrix based on voltage-mode crossbars can be mapped to a current-mode crossbar if the voltage-mode weights are carefully bounded. Then, a modified gradient descent rule is derived for the current-mode design that can be used to perform backpropagation training. Behavioral simulations on the MNIST dataset indicate that both voltage and current-mode designs are able to achieve similar accuracy and have similar defect tolerance. However, analysis of trained weight distributions reveals that current-mode and voltage-mode designs may use different feature representations." @default.
- W2737003781 created "2017-07-31" @default.
- W2737003781 creator A5079020868 @default.
- W2737003781 date "2017-07-17" @default.
- W2737003781 modified "2023-09-27" @default.
- W2737003781 title "Current-mode Memristor Crossbars for Neuromemristive Systems." @default.
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