Artificial Electric Synapse of CuI-Based Memristor for Neuromorphic Emotion Recognition and Neural Networks.

Journal: The journal of physical chemistry letters
Published Date: Jul 31, 2025

Abstract

Emotion classification is pivotal for advancing human-computer interaction, where it necessitates efficiently decoding complex dynamic signals. Traditional approaches, however, struggle to capture the temporal dependencies and nonlinear patterns intrinsic to emotional expressions. Herein, a novel CuI-based synaptic memristor is proposed, featuring reliable analog resistive switching and diverse biosynaptic plasticity, including EPSC, PPF, STM/LTM, LTP/LTD, and SRDP. Capitalizing on its nonlinear synaptic modulation capability, the developed neuromorphic reservoir computing system achieves an accuracy of 98.15% in speech emotion recognition on ESD data set, significantly outperforming traditional LSTM models. Moreover, the constructed fully connected neural network, employing its quasi-linear conductance modulation scheme for weight updates, achieves a recognition accuracy of 88.69% on the MNIST data set, a 13% improvement compared to the 75.16% accuracy obtained with nonlinear modulation. These findings validate the effectiveness of the CuI memristor in reservoir computing and neural network architectures, highlighting its potential as a core component of next-generation neuromorphic systems.

Authors

  • Hao Sun
    Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
  • Tengwei Huang
    Key Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
  • Xiang Zhang
    Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Fengxia Yang
    Key Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
  • Xiaofei Dong
    Key Laboratory of Atomic and Molecular Physics and Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
  • Jianbiao Chen
    Key Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
  • Xuqiang Zhang
    Key Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
  • Jiangtao Chen
    Department of Bone Tumor Surgery, Orthopedics Center, the First Affiliated Hospital of Xinjiang Medical University, Urumchi Xinjiang, 830054, P.R.China.
  • Yun Zhao
    The First Affiliated Hospital of Ningbo University, Ningbo, People's Republic of China.
  • Yan Li
    Interdisciplinary Research Center for Biology and Chemistry, Liaoning Normal University, Dalian, China.

Keywords

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