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Tactile Neuromorphic System: Convergence of Triboelectric Polymer Sensor and Ferroelectric Polymer Synapse
ACS Nano ( IF 15.8 ) Pub Date : 2023-08-23 , DOI: 10.1021/acsnano.3c05337
Hyeongjun Kim 1 , Seyong Oh 2 , Hyongsuk Choo 1 , Dong-Ho Kang 3 , Jin-Hong Park 1, 4
Affiliation  

Sensory neuromorphic systems are a promising technology, because they can replicate the way the human peripheral nervous system processes signals from the five sensory organs. Despite this potential, there are limited studies on how to implement these systems on a hardware neural network platform. In our research, we propose a tactile neuromorphic system that uses a poly(dimethylsiloxane) (PDMS)-based triboelectric sensor and a molybdenum disulfide (MoS2)/poly(vinylidene fluoride-trifluoro ethylene) (P(VDF-TrFE)) heterostructure-based ferroelectric synapse. The triboelectric sensor mimics a human tactile organ by converting tactile stimuli into electrical signals in real time. The ferroelectric synapse we developed demonstrates exceptional long-term potentiation/depression characteristics with a maximum dynamic range of 78 and a symmetrical value of 4.7. To assess the practicality of our proposed system, we conducted training and recognition simulations using Morse code alphabets and MNIST handwritten digits. The maximum recognition rate that we achieved was 96.17%.

中文翻译:

触觉神经形态系统:摩擦电聚合物传感器和铁电聚合物突触的融合

感觉神经形态系统是一项很有前途的技术,因为它们可以复制人类周围神经系统处理来自五个感觉器官的信号的方式。尽管有这种潜力,但关于如何在硬件神经网络平台上实现这些系统的研究仍然有限。在我们的研究中,我们提出了一种触觉神经形态系统,该系统使用基于聚(二甲基硅氧烷)(PDMS)的摩擦电传感器和二硫化钼(MoS 2)/聚(偏氟乙烯-三氟乙烯)(P(VDF-TrFE))异质结构基于铁电突触。摩擦电传感器通过将触觉刺激实时转换为电信号来模仿人类触觉器官。我们开发的铁电突触表现出卓越的长期增强/抑制特性,最大动态范围为 78,对称值为 4.7。为了评估我们提出的系统的实用性,我们使用莫尔斯电码字母和 MNIST 手写数字进行训练和识别模拟。我们达到的最高识别率是96.17%。
更新日期:2023-08-23
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