Artificial Neuronal Devices Based on Emerging Materials: Neuronal Dynamics and Applications.

Journal: Advanced materials (Deerfield Beach, Fla.)
Published Date:

Abstract

Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have proposed a range of device concepts that can mimic neuronal dynamics and functions. Although the switching physics and device structures of these artificial neurons are largely different, their behaviors can be described by several neuron models in a more unified manner. In this paper, the reports of artificial neuronal devices based on emerging volatile switching materials are reviewed from the perspective of the demonstrated neuron models, with a focus on the neuronal functions implemented in these devices and the exploitation of these functions for computational and sensing applications. Furthermore, the neuroscience inspirations and engineering methods to enrich the neuronal dynamics that remain to be implemented in artificial neuronal devices and networks toward realizing the full functionalities of biological neurons are discussed.

Authors

  • Hefei Liu
    Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
  • Yuan Qin
    College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
  • Hung-Yu Chen
    Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
  • Jiangbin Wu
    Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
  • Jiahui Ma
    Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
  • Zhonghao Du
    Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
  • Nan Wang
    Department of Gastroenterology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
  • Jingyi Zou
    Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
  • Sen Lin
    Research Center of Intelligent Equipment Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
  • Xu Zhang
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Yuhao Zhang
    Biomedical Informatics Training Program, Stanford University, Stanford, CA, USA.
  • Han Wang
    Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.