Adaptive Neural Activation and Neuromorphic Processing via Drain‐Injection Threshold‐Switching Float Gate Transistor Memory

Author:

Wang Han1,Lu Yuanlong1,Liu Shangbo1,Yu Jun1,Hu Man1,Li Sainan1,Yang Rui2,Watanabe Kenji3,Taniguchi Takashi4,Ma Ying1,Miao Xiangshui2,Zhuge Fuwei1ORCID,He Yuhui2ORCID,Zhai Tianyou1ORCID

Affiliation:

1. State Key Laboratory of Materials Processing and Die and Mould Technology School of Materials Science and Engineering Huazhong University of Science and Technology (HUST) Wuhan 430074 China

2. Hubei Yangtze Memory Laboratory School of Integrated circuits Huazhong University of Science and Technology Wuhan 430074 China

3. Research Center for Electronic and Optical Materials National Institute for Materials Science 1‐1 Namiki Tsukuba 305‐0044 Japan

4. Research Center for Materials Nanoarchitectonics National Institute for Materials Science Namiki Tsukuba 305‐0044 Japan

Abstract

AbstractHetero‐modulated neural activation is vital for adaptive information processing and learning that occurs in brain. To implement brain‐inspired adaptive processing, previously various neurotransistors oriented for synaptic functions are extensively explored, however, the emulation of nonlinear neural activation and hetero‐modulated behaviors are not possible due to the lack of threshold switching behavior in a conventional transistor structure. Here, a 2D van der Waals float gate transistor (FGT) that exhibits steep threshold switching behavior, and the emulation of hetero‐modulated neuron functions (integrate‐and‐fire, sigmoid type activation) for adaptive sensory processing, are reported. Unlike conventional FGTs, the threshold switching behavior stems from impact ionization in channel and the coupled charge injection to float gate. When a threshold is met, a sub‐30 mV dec−1 increase of transistor conductance by more than four orders is triggered with a typical switch time of approximately milliseconds. Essentially, by feeding light sensing signal as the modulation input, it is demonstrated that two typical tasks that rely on adaptive neural activation, including collision avoidance and adaptive visual perception, can be realized. These results may shed light on the emulation of rich hetero‐modulating behaviors in biological neurons and the realization of biomimetic neuromorphic processing at low hardware cost.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Japan Society for the Promotion of Science

Ministry of Science and Technology of the People's Republic of China

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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