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Journal of Inorganic Materials, Volume. 39, Issue 4, 345(2024)

Oxide Neuron Devices and Their Applications in Artificial Neural Networks

Zongxiao LI1, Lingxiang HU1, Jingrui WANG2, and Fei ZHUGE1,3,4,5、*
Author Affiliations
  • 11. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
  • 22. School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo 315211, China
  • 33. Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
  • 44. Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100029, China
  • 55. Institute of Wenzhou, Zhejiang University, Wenzhou 325006, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (2)
    References (130)
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    Figures & Tables(9)
    Typical structure and dynamic response of biological neuron
    1. Typical structure and dynamic response of biological neuron

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    Hodgkin-Huxley (HH) neuron based on VO2 memristors[32]
    2. Hodgkin-Huxley (HH) neuron based on VO2 memristors[32]

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    Leaky integrate-and-fire (LIF) neuron based on antiferroelectric field effect transistor[43]
    3. Leaky integrate-and-fire (LIF) neuron based on antiferroelectric field effect transistor[43]

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    LIF neuron based on an antiferromagnetic spintronic device[51]
    4. LIF neuron based on an antiferromagnetic spintronic device[51]

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    Researches of LIF neurons based on oxide memristors
    5. Researches of LIF neurons based on oxide memristors

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    Coupling circuits of oscillation neurons and the output mutual waves
    6. Coupling circuits of oscillation neurons and the output mutual waves

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    Researches on hardware implementations of spiking neural network (SNN) based on oxide neurons
    7. Researches on hardware implementations of spiking neural network (SNN) based on oxide neurons

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    VO2 oscillator-based oscillatory neural network (ONN) for Ising Hamiltonian solver[121]
    8. VO2 oscillator-based oscillatory neural network (ONN) for Ising Hamiltonian solver[121]

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    • Table 1. Performance comparison of HH, LIF and oscillation neurons based on oxides

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      Table 1. Performance comparison of HH, LIF and oscillation neurons based on oxides

      TypeDevice structurePhysicsAuxiliarycircuit Operation stimulusHighest output frequencyEnergy consumption per spikeAdvanced functionRef.
      HHPt/VO2/PtMott2S2R2C*2S1R3C*2S2R3C*Current/Voltage<60 kHz5.6 fJ23 types of biologicalneuronal behaviors[32]
      W/WO3/PEDOT:PSS/PtProton migrationCMOS2 V——Local graded potential, all or nothing[34]
      LIFSi:HfO2-based FeFETPolarization switching6T*2.4 V——Integration of excitatoryand inhibitory inputs[42]
      Hf0.5Zr0.5O2-based FeFETPolarization switching5T1C*1.8 V——Spike frequency adaptation[44]
      Hf0.2Zr0.8O2-based FeFETPolarization switching6T1R*1.8 V—37 fJAdjustable output frequency[43]
      MTJSpin1T*—17 MHz486 fJAdjustable output frequency[51]
      Pt/Ag/TiN/HfAlOx/PtFilament2R1C*1.5 V—16 fJAdjustable output frequency[111]
      Ag/SiO2/SiO2.03/PtFilament2R1C*0.1 V—2 fJAdjustable output frequency[79]
      Au/VO2/AuMott2R1C*5 V1 MHz2.9 nJAdjustable output frequency[112]
      Si/NbO2/TiNMott1R*2 V900 kHz38 pJSelf-protection[110]
      OscillationPt/TaOx/Ta/PtFilament1R1C*4-6V250 MHz300 μWAdjustable output frequency[105]
      Ag/HfOx/PtFilament1R*0.6 V~80 kHz1.8 µWAdjustable output frequency[113]
      Pt/NbOx/PtMott1R1C*4 V33 MHz—Adjustable output frequency[94]
      VO2Mott1R1C*2.5 V1 MHz735 mWCoupling[114]
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    Zongxiao LI, Lingxiang HU, Jingrui WANG, Fei ZHUGE. Oxide Neuron Devices and Their Applications in Artificial Neural Networks[J]. Journal of Inorganic Materials, 2024, 39(4): 345

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    Paper Information

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    Received: Sep. 5, 2023

    Accepted: --

    Published Online: Jul. 8, 2024

    The Author Email: Fei ZHUGE (zhugefei@nimte.ac.cn)

    DOI:10.15541/jim20230405

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology