Large-Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light-Modulated Bidirectional Synaptic Circuits.

Journal: Advanced materials (Deerfield Beach, Fla.)
PMID:

Abstract

The complete hardware implementation of an optoelectronic neuromorphic computing system is considered as one of the most promising solutions to realize energy-efficient artificial intelligence. Here, a fully light-driven and scalable optoelectronic neuromorphic circuit with metal-chalcogenide/metal-oxide heterostructure phototransistor and photovoltaic divider is proposed. To achieve wavelength-selective neural operation and hardware-based pattern recognition, multispectral light modulated bidirectional synaptic circuits are utilized as an individual pixel for highly accurate and large-area neuromorphic computing system. The wavelength selective control of photo-generated charges at the heterostructure interface enables the bidirectional synaptic modulation behaviors including the excitatory and inhibitory modulations. More importantly, a 7 × 7 neuromorphic pixel circuit array is demonstrated to show the viability of implementing highly accurate hardware-based pattern training. In both the pixel training and pattern recognition simulation, the neuromorphic circuit array with the bidirectional synaptic modulation exhibits lower training errors and higher recognition rates, respectively.

Authors

  • Sung Min Kwon
    School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
  • Jee Young Kwak
    School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 06974, Korea.
  • Seungho Song
    School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
  • Jeehoon Kim
    School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
  • Chanho Jo
    School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 06974, Korea.
  • Sung Soo Cho
    School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 06974, Korea.
  • Seung-Ji Nam
    School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 06974, Korea.
  • Jaehyun Kim
    Department of Biomedical Informatics, Columbia University, New York, USA.
  • Gyeong-Su Park
    Department of Material Science and Engineering, Seoul National University, Seoul, 08826, Korea.
  • Yong-Hoon Kim
    School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
  • Sung Kyu Park
    School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.