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| A Fully-Integrated Memristor Chip for Edge Learning |
Yanhong Zhang, Liang Chu( ), Wenjun Li() |
| School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, People’s Republic of China |
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Received: 09 January 2024
Published: 02 April 2024
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Corresponding Authors:
Liang Chu, Wenjun Li
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Fig. 1 a Dendrites connect the soma and synapses. b Architecture design of the fully integrated memristor chip [<xref ref-type="bibr" rid="b1">1</xref>]
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| 1. | W. Zhang, P. Yao, B. Gao, Q. Liu, D. Wu et al., Edge learning using a fully integrated neuro-inspired memristor chip. Science 381, 1205-1211 (2023). | | 2. | B. Gao, B. Lin, Y. Pang, F. Xu, Y. Lu et al., Concealable physically unclonable function chip with a memristor array. Sci. Adv. 8, eabn7753 (2022). | | 3. | X. Li, J. Tang, Q. Zhang, B. Gao, J.J. Yang et al., Power-efficient neural network with artificial dendrites. Nat. Nanotechnol. 15, 776-782 (2020). | | 4. | M. Rao, H. Tang, J. Wu, W. Song, M. Zhang et al., Thousands of conductance levels in memristors integrated on CMOS. Nature 615, 823-829 (2023). | | 5. | W. Wan, R. Kubendran, C. Schaefer, S.B. Eryilmaz, W. Zhang et al., A compute-in-memory chip based on resistive random-access memory. Nature 608, 504-512 (2022). |
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