神经形态工程学
仿真
计算机科学
光电子学
人工神经网络
晶体管
突触
光学计算
电子工程
材料科学
逻辑门
突触重量
光开关
电气工程
CMOS芯片
记忆电阻器
人工智能
信号处理
NMOS逻辑
突触后电位
光子学
电压
计算机硬件
响应度
横杆开关
多路复用
作者
Chao Gao,Zequn Zheng,Yihong Qi,Zhou Zhou,Xiaolin Liu,Qiang Chen,Jianchao Li,Xin Jin,Xiaoyang Qi,Binhong Wu,Kai Wang
标识
DOI:10.1109/led.2025.3643167
摘要
A novel CMOS-compatible artificial optoelectronic synapse with combing a photodiode-body-biased MOSFET (PD-MOS) with a floating-gate Transistor (FGT) is proposed. The PD-FGT exhibits a broad spectral response (300–1100 nm) with a peak responsivity of 1.8×103 A/W at 600 nm, and a large memory window from -1.4 V to 4.1 V. Its opto-electronic performance makes a great promise of enabling emulation of biological synaptic characteristics (Excitatory Postsynaptic Current and Paired Pulse Facilitation) via optical and electrical pulse modulation. An optoelectronic artificial neural network based on this device can potentially obtain 92% accuracy in handwritten digit recognition. This optoelectronic dual-modulated synaptic device opens new avenues for artificial vision systems and future in-sensor computing and storage, laying a foundation for large-scale visual neuromorphic computing hardware systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI