神经形态工程学
神经促进
材料科学
突触重量
计算机科学
突触
突触可塑性
MNIST数据库
光电子学
神经科学
物理
人工神经网络
人工智能
化学
兴奋性突触后电位
生物
生物化学
受体
抑制性突触后电位
作者
Junho Sung,Sun Woo Kim,Donghwa Lee,Sanghee Moon,Eunho Lee,Hyun Ho Kim
出处
期刊:Small
[Wiley]
日期:2025-06-04
卷期号:21 (31): e2504024-e2504024
被引量:12
标识
DOI:10.1002/smll.202504024
摘要
Neuromorphic computing offers a promising approach to overcoming the limitations of von Neumann architecture by mimicking biological synapses. While optoelectronic synapses have demonstrated synaptic plasticity through optical and electrical stimuli, most studies rely on ambient light conditions, limiting their robustness and functional complexity. Here, a WSe2/h-BN/SiO2 heterostructure-based optoelectronic synapse is presented that achieves precise synaptic weight modulation through co-stimuli of electrical and optical pulses. The device exhibits enhanced paired-pulse facilitation (PPF) and long-term plasticity (LTP/LTD), demonstrating stable and linear synaptic behavior. Notably, the study systematically analyzes the effects of co-stimuli firing conditions, revealing that both the intensity of light and voltage magnitude influence synaptic weight updates. The device achieves outstanding nonlinearity, high Gmax/Gmin, and stable depression recovery, essential for high-performance neuromorphic computing. Furthermore, ANN-based cognitive simulations using MNIST digits validate their potential for inference tasks, demonstrating near-ideal accuracy. These findings underscore the potential of co-stimuli-driven synapses for multi-modal cognitive systems, paving the way for advanced neuromorphic architectures beyond single-species stimuli constraints.
科研通智能强力驱动
Strongly Powered by AbleSci AI