supported by the Beijing Municipal Natural Science Foundation(No.4202025);partially sponsored by the National Natural Science Foundation of China(No.61672070);the Beijing Municipal Education Commission(No.KZ201910005008).
Traditional biological neural networks cannot simulate the real situation of the abrupt synaptic connections between neurons while modeling associative memory of human brains.In this paper,the memristive multidirectio...
This work was supposed by Jiaxing public welfare research program(2022AD30113).
This paper is intended to investigate a class of Nicholson's blowflies system with patch structure and multiple pairs of distinct time-varying delays,we are interested in finding the infuence of the distinct time-vary...
The importance of prediction for genetic regulatory network(GRNs)makes mathematical modeling a prominent tool.In this paper,we consider weighted pseudo-almost periodic solutions for a class of GRNs with time-varying d...
This work is supported by Fundamental Research Funds for the Central Universities (Grant Nos. XDJK2016BC137, SWU116004), Natural Science Foundation of China (Grant Nos. 61374078, 61403313, 61633011). This publication was made possible by NPRP Grant NPRP 7-1482-1-278 from the Qatar National Research Fund (a member of Qatar Foundation).
In this paper, the stability and periodicity of memristor-based neural networks with time-varying delays are studied. Based on linear matrix inequalities, differential inclusion theory and by constructing proper Lyapu...
This work was supported by the National Natural Science Foundation of China (No. 61305076).
This paper deals with exponential synchronization for a class of neural networks with mixed time-varying delays via periodically intermittent control. Some novel and effective exponential synchronization criteria are ...