Ultrafast stochastic spiking neurons based on field-free magnetic tunnel junction
Abstract
In this study, we showcase the hardware implementation of stochastic spiking neurons (SSNs) utilizing the back hopping phenomenon in a field-free magnetic tunnel junction with a well-established fabrication process and excellent scalability. The neural network constructed using this SSN array demonstrates an ultrafast response speed on the order of tens of nanoseconds, a high accuracy of 97.6% in handwritten digit classification, and superior adaptability across various tasks, surpassing the performance of the majority of reported SSNs. This research carries significant implications, positioning our SSNs as promising candidates in the realm of efficient and robust neuromorphic computing applications.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (10)
Haizhong Zhang
Zhejiang Key Laboratory of Low‐carbon Control Technology for Industrial Pollution College of Environment Zhejiang University of Technology No. 18 Chaowang Road Hangzhou 310014 China
Wenjie Duan
College of Physics and Information Engineering, Fuzhou University 2 , Fuzhou 350108,
Yapeng Zhao
FZU-Jinjiang Joint Institute of Microelectronics and School of Physics, Information Engineering and Microelectronics, Fuzhou University 1 , Fuzhou 350108,
Changjin Wan
Huiwu Mao
School of Electronic Science & Engineering, Nanjing University 3 , Nanjing 210093,
Miao Pan
Wenjie Chen
Musheng Chen
College of Physics and Information Engineering, Quanzhou Normal University 1 , Quanzhou 362000,
Li shuang Wu
College of Physics and Information Engineering, Quanzhou Normal University 1 , Quanzhou 362000,
Tiaoyang Li
FZU-Jinjiang Joint Institute of Microelectronics and School of Physics, Information Engineering and Microelectronics, Fuzhou University 1 , Fuzhou 350108,