A threshold memristor based on self-assembled vertically aligned nanocomposite SrTiO3:Eu2O3 film for simulating biological pain receptors and LIF neurons

Y Ying Liu Q Qirui Hou (Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electronic and Information Engineering, Hebei University , Baoding 071002,) Y Yongqing Jia (Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electronic and Information Engineering, Hebei University , Baoding 071002,) W Weifeng Zhang X Xiaobing Yan

Abstract

In the context of the rapid development of neuromorphic computing and high-density storage, threshold memristors have attracted the interest of researchers due to their ability to perform multiple biological functions, large switching ratios, and high stability. In this work, a threshold memristor with the Ag/SrTiO3 (STO):Eu2O3/Pt structure based on self-assembled vertically aligned STO:Eu2O3 films is proposed. The device demonstrates excellent unipolar threshold switching behavior with a high switching ratio (∼105) and low threshold voltage/hold voltage variation (4.4%/16.0%). Additionally, the device has a certain regulation law under pulse stimulation, and the number of pulses required for the device to turn on is proportional to the pulse amplitude and interval, and inversely proportional to the width. Notably, several features of biological pain receptors are effectively simulated using the device, and neuronal circuits are also constructed to implement the basic functions of Leaky-Integrate-and-Fire neurons, revealing the potential of the device in the field of biomimicry.

Article Details

Volume / Issue Vol. 127, Issue 21
Published November 24, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (5)

Y

Ying Liu

Q

Qirui Hou

Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electronic and Information Engineering, Hebei University , Baoding 071002,

Y

Yongqing Jia

Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electronic and Information Engineering, Hebei University , Baoding 071002,

W

Weifeng Zhang

X

Xiaobing Yan