Emerging Circuits and Memory Technologies
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71097-1_4
Reference10 articles.
1. Zyarah, A. M., Gomez, K., & Kudithipudi, D. (2020). Neuromorphic system for spatial and temporal information processing. IEEE Transactions on Computers, 69(8), 1099–1112. https://doi.org/10.1109/TC.2020.3000183
2. Yu, S. (2018). Neuro-inspired computing with emerging nonvolatile memorys. Proceedings of the IEEE, 106(2), 260–285. https://doi.org/10.1109/JPROC.2018.2790840
3. Chua, L. (2019). Resistance switching memories are memristors. Handbook of Memristor Networks, 197–230. https://doi.org/10.1007/978-3-319-76375-0_6
4. Tuma, T., Pantazi, A., Le Gallo, M., Sebastian, A., & Eleftheriou, E. (2016). Stochastic phase-change neurons. Nature Nanotechnology, 11(8), 693–699. https://doi.org/10.1038/nnano.2016.70
5. Marković, D., Mizrahi, A., Querlioz, D., & Grollier, J. (2020). Physics for neuromorphic computing. Nature Reviews Physics, 2(9), 499–510. https://doi.org/10.1038/s42254-020-0208-2
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