期刊
IEEE ELECTRON DEVICE LETTERS
卷 40, 期 10, 页码 1686-1689出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LED.2019.2936261
关键词
Leaky-integration-and-fire (LIF); MXene; memristor; artificial neuron
资金
- National Natural Science Foundation of China [61704088, 61804079, 61874059]
- China Postdoctoral Science Foundation [2018M642290]
- Postgraduate Research and Practice Innovation Program of Jiangsu Province [SJKY19_0811]
- Jiangsu provincial key talent project [SZDG2018007, CZ1060619001, TJ218001]
- Science Foundation of Nanjing University of Posts and Telecommunications [NY217116, NY218110, KFJJ20170101]
- National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology, Nanjing University of Posts and Telecommunications
- College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications
- College of Microelectronics, Nanjing University of Posts and Telecommunications
Artificial neurons and synapses are critical units for processing intricate information in brain-inspired neuromorphic systems. Memristors are frequently engineered as artificial synapses due to their simple structures, nonlinear dynamics, and high-density integration. However, the development of artificial neurons on memristors has less progress. In this letter, we propose a rich dynamics-driven artificial neuron based on two-dimensional materials MXene. Partial essential neural features of neural processing, including leaky integration, automatic threshold-driven fire, and self-recovery, were successfully emulated in a unified manner. The space-charge-limited current (SCLC) model accompanied by electrochemical metallization effect was used to explain electrical characteristics. This work will provide a useful guideline for designing and manipulating memristor as artificial neurons for brain-inspired systems.
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