Artificial Astrocyte Memristor with Recoverable Linearity for Neuromorphic Computing. (14th September 2021)

• Record Type: Journal Article
• Authors: Cheng, Caidie; Wang, Yanghao; Xu, Liying; Liu, Keqin; Dang, Bingjie; Lu, Yingming; Yan, Xiaoqin; Huang, Ru; Yang, Yuchao
• Is Part Of: Advanced Electronic Materials. Volume 8:Number 8(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-09-14
• Subjects: artificial astrocyte -- image recognition -- memristor -- neuromorphic computing -- nonlinearity; Materials -- Electric properties -- Periodicals; Materials science -- Periodicals; Magnetic materials -- Periodicals; Electronic apparatus and appliances -- Periodicals; 537
• DOI: 10.1002/aelm.202100669
• Languages: English
• ISSNs: 2199-160X

Abstract

Abstract: Neuromorphic systems provide a potential solution for overcoming von Neumann bottleneck and realizing computing with low energy consumption and latency. However, the neuromorphic devices utilized to construct the neuromorphic systems always focus on artificial synapses and neurons, and neglected the important role of astrocyte cells. Here, an astrocyte memristor is demonstrated with encapsulated yttria‐stabilized zirconia (YSZ) to emulate the function of astrocyte cells in biology. Due to the high oxygen vacancy concentration and resultant high ionic conductivity of YSZ, significantly lower forming and set voltages are achieved in the artificial astrocyte, along with high endurance (>10 11 ). More importantly, the nonlinearity in current‐voltage characteristics that usually emerge as the testing cycle increases can be depressed in the astrocyte memristor, and the nonlinearity can also be reversed by applying a refresh operation, which implements the role of biological astrocyte in maintaining the normal activity of neurons. The recovery of linearity can dramatically improve the accuracy of Modified National Institute of Standards and Technology dataset classification from 62.98% to 94.75% when the inputs are encoded in voltage amplitudes. The astrocyte memristor in this work with improved performance and linearity recovery characteristics can well emulate the function of astrocyte cells in biology and have great potential for neuromorphic computing. Abstract : Here an astrocyte memristor is demonstrated with encapsulated yttria‐stabilized zirconia to emulate the function of astrocyte cells in biology. The astrocyte memristor demonstrates improved performance and linearity recovery characteristics, which can maintain the weights with refresh operations and dramatically improve the accuracy of digit classification when the inputs are encoded in voltage amplitudes, holding great potential for neuromorphic computing.