Memristive dynamics enabled neuromorphic computing systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11432-023-3739-0.pdf
Reference110 articles.
1. Kumar S, Wang X, Strachan J P, et al. Dynamical memristors for higher-complexity neuromorphic computing. Nat Rev Mater, 2022, 7: 575–591
2. Yan B, Li B, Qiao X, et al. Resistive memory-based in-memory computing: from device and large-scale integration system perspectives. Adv Intell Syst, 2019, 1: 1900068
3. Cheng C D, Tiw P J, Cai Y M, et al. In-memory computing with emerging nonvolatile memory devices. Sci China Inf Sci, 2021, 64: 221402
4. Wang Y, Yang Y, Hao Y, et al. Embracing the era of neuromorphic computing. J Semicond, 2021, 42: 010301
5. Yao P, Wu H, Gao B, et al. Fully hardware-implemented memristor convolutional neural network. Nature, 2020, 577: 641–646
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