Abstract
Abstract
The realization of highly efficient neuromorphic computing necessitates the development of fast artificial synaptic devices. Mott insulator artificial synapses, in particular, provide tremendous potential for ultrafast neuromorphic devices. In this work, based on Pt/LaMnO3/Pt heterostructures, a variety of synaptic plasticity has been realized, including paired-pulse facilitation/depression, spike rate-dependent plasticity (SRDP) and four types of spike time-dependent plasticity. Furthermore, Bienenstock–Cooper–Munro learning rules with a sliding frequency threshold have been found from SRDP. These findings make a significant contribution to brain-like neuromorphic computing.
Funder
Key scientific research projects of Henan Province
National Natural Science Foundation of China
Intelligence Introduction Plan of Henan Province in 2021
Plan for Leading Talent of Fundamental Research of the Central China in 2020
Subject
Surfaces, Coatings and Films,Acoustics and Ultrasonics,Condensed Matter Physics,Electronic, Optical and Magnetic Materials