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Bio‐Voltage Memristors: From Physical Mechanisms to Neuromorphic Interfaces

Saisai Wang, Rui Wang, Yaxiong Cao, Xiaohua Ma, Hong Wang, Yue Hao

发表年份
2023
引用次数
18
访问权限
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摘要

Abstract With the rapid development of emerging artificial intelligence technology, brain–computer interfaces are gradually moving from science fiction to reality, which has broad application prospects in the field of intelligent robots. Looking for devices that can connect and communicate with living biological tissues is expected to realize brain–computer interfaces and biological integration interfaces. Brain‐like neuromorphic devices based on memristors may have profound implications for bridging electronic neuromorphic and biological nervous systems. Ultra‐low working voltage is required if memristors are to be connected directly to biological nerve signals. Therefore, inspired by the high‐efficient computing and low power consumption of biological brain, memristors directly driven by the electrical signaling requirements of biological systems (bio‐voltage) are not only meaningful for low power neuromorphic computing but also very suitable to facilitate the integrated interactions with living biological cells. Herein, attention is focused on a detailed analysis of a rich variety of physical mechanisms underlying the various switching behaviors of bio‐voltage memristors. Next, the development of bio‐voltage memristors, from simulating artificial synaptic and neuronal functions to broad application prospects based on neuromorphic computing and bio‐electronic interfaces, is further reviewed. Furthermore, the challenges and the outlook of bio‐voltage memristors over the research field are discussed.

关键词

Neuromorphic engineeringMemristorComputer scienceComputer architectureField (mathematics)Variety (cybernetics)NanotechnologyNeuroscienceArtificial intelligenceMaterials science

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