DataVXACS Applied Electronic MaterialsPaper
journal article·2023-06-27

Artificial Spiking Neuron with Bursting Dynamics for Noise-Resistant Neuromorphic Coding

Huiyuan Liu, Xiaojian Zhu, Zhecheng Guo, Ri He, Xinze Li, Qihao Sun, Xiaoyu Ye, Cui Sun, Yu Tian, Run-Wei Li

ACS Applied Electronic Materials· Volume 5· Issue 6
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Source abstract

Abstract

Emulating complex neuronal functionalities in human brains using emerging biomimetic electronics is critical for next-generation brain-like chips and artificial general intelligence. Burst firing, featured with the repeated firing of discrete groups of spikes, is high-order neuronal dynamics for reliable signal transmission, coding, and processing. Here, we report a memristor (Pt/Co 3 O 4– x /ITO) that can natively produce periodic voltage oscillation groups under current stimulation, capturing the burst-firing features of actual biological neurons. This behavior stems from the dynamic formation/rupture of conductive filaments regulated by the V O concentration at the grain boundaries. The burst frequency can be tuned by adjusting the driving current intensity and used to implement burst frequency coding. The bursting neuron-based artificial neural system achieves a recognition accuracy of 86% for the Fashion-MNIST tasks, under the disturbance of random noise spikes. This work provides a promising platform to realize complex neuronal dynamics and to construct robust brain-inspired neuromorphic systems.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neural dynamics and brain function · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China

Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China

Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, China

Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China

Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Funding

Natural Science Foundation of Ningbo · National Key Research and Development Program of China · K. C. Wong Education Foundation · Youth Innovation Promotion Association of the Chinese Academy of Sciences · National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province · Ningbo Technology Project

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