Issue

Vol. 16 (2024)

Recent Advance in Synaptic Plasticity Modulation Techniques for Neuromorphic Applications

https://doi.org/10.1007/s40820-024-01445-x
Yilin Sun
School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
Huaipeng Wang
School of Integrated Circuits, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, People’s Republic of China
Dan Xie
School of Integrated Circuits, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, People’s Republic of China

Corresponding Author: Dan Xie

xiedan@tsinghua.edu.cn

Nano-Micro Letters, Vol. 16 (2024), Article Number: 211

Abstract

Manipulating the expression of synaptic plasticity of neuromorphic devices provides fascinating opportunities to develop hardware platforms for artificial intelligence. However, great efforts have been devoted to exploring biomimetic mechanisms of plasticity simulation in the last few years. Recent progress in various plasticity modulation techniques has pushed the research of synaptic electronics from static plasticity simulation to dynamic plasticity modulation, improving the accuracy of neuromorphic computing and providing strategies for implementing neuromorphic sensing functions. Herein, several fascinating strategies for synaptic plasticity modulation through chemical techniques, device structure design, and physical signal sensing are reviewed. For chemical techniques, the underlying mechanisms for the modification of functional materials were clarified and its effect on the expression of synaptic plasticity was also highlighted. Based on device structure design, the reconfigurable operation of neuromorphic devices was well demonstrated to achieve programmable neuromorphic functions. Besides, integrating the sensory units with neuromorphic processing circuits paved a new way to achieve human-like intelligent perception under the modulation of physical signals such as light, strain, and temperature. Finally, considering that the relevant technology is still in the basic exploration stage, some prospects or development suggestions are put forward to promote the development of neuromorphic devices.


Highlights:
1 This review delves into the recent progress in high-performance and multifunctional neuromorphic devices for artificial intelligence applications from a novel perspective of plasticity modulation.
2 It provides an in-depth discussion on the plasticity modulation strategies by chemical techniques, device structure design and physical signal modulation for advanced neuromorphic applications.
3 It offers the prospects of exploring novel plasticity modulation mechanisms and techniques for scaled neural networks and examining their potentials in multimodal collaborative neuromorphic systems.

Keywords

Plasticity modulation Dynamic plasticity Chemical techniques Programmable operation Neuromorphic sensing
Sun, Yilin, Huaipeng Wang, and Dan Xie. 2024. “Recent Advance in Synaptic Plasticity Modulation Techniques for Neuromorphic Applications”. Nano-Micro Letters 16 (June):211. https://doi.org/10.1007/s40820-024-01445-x.
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