Almost Periodic Solutions for Wilson-Cowan Type Model with Time-Varying Delays
Author(s) -
Shasha Xie,
Zhenkun Huang
Publication year - 2013
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2013/683091
Subject(s) - complement (music) , mathematics , contraction principle , contraction (grammar) , exponential stability , exponential dichotomy , type (biology) , contraction mapping , stability (learning theory) , control theory (sociology) , pure mathematics , mathematical analysis , computer science , fixed point theorem , nonlinear system , differential equation , physics , artificial intelligence , ecology , chemistry , biology , biochemistry , control (management) , quantum mechanics , medicine , complementation , gene , phenotype , machine learning
Wilson-Cowan model of neuronal population with time-varying delays is considered in this paper. Some sufficient conditions for the existence and delay-based exponential stability of a unique almost periodic solution are established. The approaches are based on constructing Lyapunov functionals and the well-known Banach contraction mapping principle. The results are new, easily checkable, and complement existing periodic ones
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