Related Experiment Video
Updated: Mar 15, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Exponential Stability of Almost Periodic Solutions for Memristor-Based Neural Networks with Distributed Leakage
Changjin Xu1, Peiluan Li2, Yicheng Pang3
1Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang 550004, P.R. China xcj403@126.com.
Abstract:
In this letter, we deal with a class of memristor-based neural networks with distributed leakage delays. By applying a new Lyapunov function method, we obtain some sufficient conditions that ensure the existence, uniqueness, and global exponential stability of almost periodic solutions of neural networks. We apply the results of this solution to prove the existence and stability of periodic solutions for this delayed neural network with periodic coefficients. We then provide an example to illustrate the effectiveness of the theoretical results. Our results are completely new and complement the previous studies Chen, Zeng, and Jiang ( 2014 ) and Jiang, Zeng, and Chen ( 2015 ).
Related Concept Videos
Resting Potential Decay
At rest, the K+ is the main ion that moves across the membrane...
Resting Potential Decay
Current Growth And Decay In RL Circuits
Long-term Potentiation
Long-term Potentiation
Hebbian LTP
LTP can occur when...
Second Order systems II

