Open AccessRecent Progress on Emerging Transistor‐Based Neuromorphic Devices
Author(s) -
He Yongli,
Zhu Li,
Zhu Ying,
Chen Chunsheng,
Jiang Shanshan,
Liu Rui,
Shi Yi,
Wan Qing
Publication year - 2021
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202000210
Subject(s) - neuromorphic engineering , von neumann architecture , transistor , computer science , computer architecture , electronic engineering , electrical engineering , artificial intelligence , artificial neural network , engineering , voltage , operating system
Human brain outperforms the current von Neumann digital computer in many aspects, such as energy efficiency and fault‐tolerance. Inspired by human brain, neuromorphic computation has attracted increasing research interest. In recent years, emerging neuromorphic devices are widely developed for neuromorphic computing. Herein, the recent progress on transistor‐based neuromorphic devices is presented. First, a brief introduction of biological synaptic and neuronal functions is given. Then operation principles and latest progress in neuromorphic transistors, including ion‐gate neuromorphic transistors, ferroelectric‐gate neuromorphic transistors, and floating‐gate neuromorphic transistors, are reviewed and discussed. At last, conclusions and prospects are given.