Photoelectronic synaptic transistor with tunable plasticity for neuromorphic computing system

Qing-an Ding; Chaoran Gu; Jianyu Li; Youli Yao; Xiaoyuan Li; Binghui Hou; Kexin Yu; Xiaoling Zuo

doi:10.1117/12.3005283

24 November 2023 Photoelectronic synaptic transistor with tunable plasticity for neuromorphic computing system

Qing-an Ding, Chaoran Gu, Jianyu Li, Youli Yao, Xiaoyuan Li, Binghui Hou, Kexin Yu, Xiaoling Zuo

Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 1293511 (2023) https://doi.org/10.1117/12.3005283
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China

Abstract

Neuromorphic computing system inspired by the human brain has the capability of breaking through the von Neumann bottleneck, which can improve the efficiency of data processing. To deploy efficient neuromorphic systems, the development of synaptic devices is imperative. However, achieving tunable synaptic behaviors in a single transistor remains challenging. In this work, a silicon nanowire-based photoelectronic synaptic transistor is developed to achieve tunable synaptic behaviors. Using the floating-body effect and a cylindrical surrounding double-gate (CSDG) structure, we simulated excitatory and inhibitory synaptic plasticity in a single device. Additionally, our device also simulated various synaptic characteristics by modulating the bias voltages and light pulses, such as excitatory and inhibitory postsynaptic current (PSC), short-term potentiation (STP), short-term depression (STD), long-term potentiation (LTP), and forgetting behavior. This study provides an effective strategy for developing tunable photoelectronic synapses. Furthermore, Si processing compatibility also makes the synaptic device a promising contender for the implementation of neuromorphic computing.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qing-an Ding, Chaoran Gu, Jianyu Li, Youli Yao, Xiaoyuan Li, Binghui Hou, Kexin Yu, and Xiaoling Zuo "Photoelectronic synaptic transistor with tunable plasticity for neuromorphic computing system", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 1293511 (24 November 2023); https://doi.org/10.1117/12.3005283

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