Journal of Inorganic Materials, Volume. 38, Issue 4, 399(2023)
[1] O MURAT, E NICOLAS, B M WANG et al. Nanosecond protonic programmable resistors for analog deep learning. Science, 377: 539(2022).
[4] K YANG, J J YANG, R HUANG et al. Nonlinearity in memristors for neuromorphic dynamic systems. Small Science, 2: 2100049(2021).
[5] J D ZHU, T ZHANG, Y C YANG et al. A comprehensive review on emerging artificial neuromorphic devices. Applied Physics Reviews, 7: 011312(2020).
[7] W Q ZHANG, B GAO, J S TANG et al. Neuro-inspired computing chips. Nature Electronics, 3: 371(2020).
[14] J LEE, R D NIKAM, M KWAK et al. Strategies to improve the synaptic characteristics of oxygen-based electrochemical random-access memory based on material parameters optimization. ACS Applied Materials & Interfaces, 13450(2022).
[22] S Z ROBERT, W G REGEHR. Short-term synaptic plasticity. Annual Review of Physiology, 64: 355(2002).
[25] J P MCGANN. Associative learning and sensory neuroplasticity: how does it happen and what is it good for. Learning & Memory, 567(2015).
[26] J TRAXLER, V J MADDEN, G L MOSELEY et al. Modulating pain thresholds through classical conditioning. PeerJ, 7: 6486(2019).
[27] R P MAURICIO, M E BITTERMAN. The role of contingency in classical conditioning. Psychological Review, 396(1990).
Get Citation
Copy Citation Text
Renrui FANG, Kuan REN, Zeyu GUO, Han XU, Woyu ZHANG, Fei WANG, Peiwen ZHANG, Yue LI, Dashan SHANG.
Category:
Received: Sep. 4, 2022
Accepted: --
Published Online: Oct. 17, 2023
The Author Email: SHANG Dashan (shangdashan@ime.ac.cn)