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基于表面主导扩散式忆阻器的人工自适应和非自适应感觉受体。

Artificial Adaptive and Maladaptive Sensory Receptors Based on a Surface-Dominated Diffusive Memristor.

机构信息

Electronic Materials Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02791, Republic of Korea.

Department of Materials Science and Engineering, Seoul National University, Seoul, 08826, Republic of Korea.

出版信息

Adv Sci (Weinh). 2022 Feb;9(4):e2103484. doi: 10.1002/advs.202103484. Epub 2021 Nov 27.

Abstract

A biological receptor serves as sensory transduction from an external stimulus to an electrical signal. It allows humans to better match the environment by filtering out repetitive innocuous information and recognize potentially damaging stimuli through key features, including adaptive and maladaptive behaviors. Herein, for the first time, the authors develop substantial artificial receptors involving both adaptive and maladaptive behaviors using diffusive memristor. Metal-oxide nanorods (NR) as a switching matrix enable the electromigration of an active metal along the surface of the NRs under electrical stimulation, resulting in unique surface-dominated switching dynamics with the advantage of fast Ag migration and fine controllability of the conductive filament. To experimentally demonstrate its potential application, a thermoreceptor system is constructed using memristive artificial receptors. The proposed surface-dominated diffusive memristor allows the direct emulation of the biological receptors, which represents an advance in the bioinspired technology adopted in creating artificial intelligence systems.

摘要

生物受体作为从外部刺激到电信号的感觉转换,使人类能够通过过滤重复的无害信息,并通过关键特征(包括适应性和适应性不良行为)识别潜在的有害刺激,更好地适应环境。在此,作者首次使用扩散式忆阻器开发了涉及适应性和适应性不良行为的大量人工受体。金属氧化物纳米棒(NR)作为开关矩阵,使活性金属在电刺激下沿 NR 表面进行电迁移,从而产生独特的表面主导开关动力学,具有快速 Ag 迁移和导电丝精细可控性的优势。为了实验证明其潜在的应用,使用忆阻人工受体构建了热敏受体系统。所提出的表面主导扩散式忆阻器允许对生物受体进行直接模拟,这代表了在创建人工智能系统中采用仿生技术方面的一项进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8811822/0756b5ac6348/ADVS-9-2103484-g007.jpg

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