Bio‐Voltage Memristors: From Physical Mechanisms to Neuromorphic Interfaces. (30th January 2023)

• Record Type: Journal Article
• Authors: Wang, Saisai; Wang, Rui; Cao, Yaxiong; Ma, Xiaohua; Wang, Hong; Hao, Yue
• Is Part Of: Advanced Electronic Materials. Volume 9:Number 4(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2023-01-30
• Subjects: bio‐voltage -- memristors -- neuromorphic interfaces -- physical mechanism -- synapse and neuron; Materials -- Electric properties -- Periodicals; Materials science -- Periodicals; Magnetic materials -- Periodicals; Electronic apparatus and appliances -- Periodicals; 537
• DOI: 10.1002/aelm.202200972
• Languages: English
• ISSNs: 2199-160X

Abstract

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. Abstract : From the perspective of bio‐nervous system, this review summarizes the development of bio‐voltage memristors, from focusing on analyzing the physical mechanisms of memristors matched to bio‐voltage, to simulating artificial synapses and neuron functions, to broad applications based on neuromorphic computing and bio‐electronic interfaces, which will bring new insights into the combination of artificial neuromorphic systems and biological neural networks.