Large-Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light-Modulated Bidirectional Synaptic Circuits,Advanced Materials

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Large-Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light-Modulated Bidirectional Synaptic Circuits
Advanced Materials ( IF 27.4 ) Pub Date : 2021-09-22 , DOI: 10.1002/adma.202105017
Sung Min Kwon ₁ , Jee Young Kwak ₁ , Seungho Song ₂ , Jeehoon Kim ₂ , Chanho Jo ₁ , Sung Soo Cho ₁ , Seung-Ji Nam ₁ , Jaehyun Kim ₃ , Gyeong-Su Park ₄ , Yong-Hoon Kim ₂ , Sung Kyu Park ₁

Affiliation

The complete hardware implementation of an optoelectronic neuromorphic computing system is considered as one of the most promising solutions to realize energy-efficient artificial intelligence. Here, a fully light-driven and scalable optoelectronic neuromorphic circuit with metal-chalcogenide/metal-oxide heterostructure phototransistor and photovoltaic divider is proposed. To achieve wavelength-selective neural operation and hardware-based pattern recognition, multispectral light modulated bidirectional synaptic circuits are utilized as an individual pixel for highly accurate and large-area neuromorphic computing system. The wavelength selective control of photo-generated charges at the heterostructure interface enables the bidirectional synaptic modulation behaviors including the excitatory and inhibitory modulations. More importantly, a 7 × 7 neuromorphic pixel circuit array is demonstrated to show the viability of implementing highly accurate hardware-based pattern training. In both the pixel training and pattern recognition simulation, the neuromorphic circuit array with the bidirectional synaptic modulation exhibits lower training errors and higher recognition rates, respectively.

中文翻译：

具有多光谱光调制双向突触电路的大面积像素化光电神经形态器件

光电神经形态计算系统的完整硬件实现被认为是实现节能人工智能的最有希望的解决方案之一。在这里，提出了一种具有金属硫属化物/金属氧化物异质结构光电晶体管和光伏分压器的完全光驱动和可扩展的光电神经形态电路。为了实现波长选择性神经操作和基于硬件的模式识别，多光谱光调制双向突触电路被用作高精度和大面积神经形态计算系统的单个像素。异质结构界面处光生电荷的波长选择性控制能够实现双向突触调制行为，包括兴奋性和抑制性调制。更重要的是，展示了一个 7 × 7 神经形态像素电路阵列，以显示实现基于硬件的高精度模式训练的可行性。在像素训练和模式识别模拟中，具有双向突触调制的神经形态电路阵列分别表现出较低的训练误差和较高的识别率。

更新日期：2021-11-09

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