神经形态工程学
遗忘
材料科学
计算机科学
光电子学
纳米技术
认知心理学
人工智能
心理学
人工神经网络
作者
Ashly Sunny,R. Thamankar
出处
期刊:AIP Advances
[American Institute of Physics]
日期:2024-08-01
卷期号:14 (8)
摘要
Artificial synaptic devices that can mimic the biological synaptic functions of learning and forgetting are essential for the realization of neuromorphic computation, which could replace the von Neumann architecture. In this Letter, we have described a high-performing ultraviolet photodetector (wavelength 375 nm) using thin films of single-layer hexagonal boron nitride (h-BN) for potential use in fabricating a neuromorphic device. Furthermore, the classical Ebbinghaus forgetting curve can be optimized using various parameters such as the optical pulse width, number of pulses, and frequency of pulses. Our results show that the characteristic time constant (τ) has much more variability, indicating better performance control than the Ebbinghaus exponent (β). Furthermore, the performance of the optical synapse is very stable for low energy consumption, as low as 2–3 pJ.
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