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