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Recent Progress on Emerging Transistor‐Based Neuromorphic Devices

Yongli He, Li Zhu, Ying Zhu, Chunsheng Chen, Shanshan Jiang, Rui Liu, Yi Shi, Qing Wan

2021Advanced Intelligent Systems104 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Neuromorphic engineeringVon Neumann architectureTransistorComputer scienceComputer architectureElectronic engineeringArtificial intelligenceElectrical engineeringArtificial neural networkEngineeringVoltageOperating systemAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeuroscience and Neural Engineering
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