Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161240
Title: Electrolyte-gated neuromorphic transistors for brain-like dynamic computing
Authors: He, Yongli
Jiang, Shanshan
Chen, Chunsheng
Wan, Changjin
Shi, Yi
Wan, Qing
Keywords: Engineering::Materials
Issue Date: 2021
Source: He, Y., Jiang, S., Chen, C., Wan, C., Shi, Y. & Wan, Q. (2021). Electrolyte-gated neuromorphic transistors for brain-like dynamic computing. Journal of Applied Physics, 130(19), 190904-. https://dx.doi.org/10.1063/5.0069456
Journal: Journal of Applied Physics 
Abstract: In recent years, the rapid increase in the data volume to be processed has led to urgent requirements for highly efficient computing paradigms. Brain-like computing that mimics the way the biological brain processes information has attracted growing interest due to extremely high energy efficiency. Particularly, dynamics play an essential role in neural spike information processing. Here, we offer a brief review and perspective in the field of electrolyte-gated neuromorphic transistors for brain-like dynamic computing. We first introduce the biological foundation of dynamic neural functions. Then dynamic synaptic plasticity, dynamic dendritic integration, dynamic neural functions, and bio-inspired somatosensory systems realized based on the electrolyte-gated neuromorphic transistors are presented. At last, conclusions and perspectives are given.
URI: https://hdl.handle.net/10356/161240
ISSN: 0021-8979
DOI: 10.1063/5.0069456
Schools: School of Materials Science and Engineering 
Rights: © 2021 Author(s). All rights reserved. This paper was published by AIP Publishing in Journal of Applied Physics and is made available with permission of Author(s).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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