The asymptotic behaviour of an autonomous neural field lattice system with delays is investigated. It is based on the Amari model, but with the Heaviside function in the interaction term replaced by a sigmoidal function. First, the lattice system is reformulated as an infinite dimensional ordinary delay differential equation on weighted sequence state space $ \ell_\rho^2 $ under some appropriate assumptions. Then the global existence and uniqueness of its solution and its formulation as a semi-dynamical system on a suitable function space are established. Finally, the asymptotic behaviour of solution of the system is investigated, in particular, the existence of a global attractor is obtained.
Citation: Xiaoli Wang, Peter Kloeden, Meihua Yang. Asymptotic behaviour of a neural field lattice model with delays[J]. Electronic Research Archive, 2020, 28(2): 1037-1048. doi: 10.3934/era.2020056
The asymptotic behaviour of an autonomous neural field lattice system with delays is investigated. It is based on the Amari model, but with the Heaviside function in the interaction term replaced by a sigmoidal function. First, the lattice system is reformulated as an infinite dimensional ordinary delay differential equation on weighted sequence state space $ \ell_\rho^2 $ under some appropriate assumptions. Then the global existence and uniqueness of its solution and its formulation as a semi-dynamical system on a suitable function space are established. Finally, the asymptotic behaviour of solution of the system is investigated, in particular, the existence of a global attractor is obtained.
[1] |
Dynamics of pattern formation in lateral-inhibition type neural fields. Biol. Cybernet. (1977) 27: 77-87. ![]() |
[2] |
Attractors for lattice dynamical systems. Internat. J. Bifur. Chaos Appl. Sci. Engrg. (2001) 11: 143-153. ![]() |
[3] |
On differential equations with delay in Banach spaces and attractors for retarded lattice dynamical systems. Discrete Contin. Dyn. Syst. (2014) 34: 51-77. ![]() |
[4] |
S. Coombes, P. B. Graben, R. Potthast and J. Wright, Neural Fields. Theory and Applications, Springer, Heidelberg, 2014. doi: 10.1007/978-3-642-54593-1
![]() |
[5] |
On the connectedness of attractors for dynamical systems. J. Differential Equations (1997) 133: 1-14. ![]() |
[6] |
Non-autonomous lattice systems with switching effects and delayed recovery. J. Differential Equations (2016) 261: 2986-3009. ![]() |
[7] |
Asymptotic behaviour of a neural field lattice model with a Heaviside operator. Phys. D (2019) 389: 1-12. ![]() |
[8] |
(1991) Attractors for Semigroups and Evolution Equations. Cambridge: Cambridge University Press. ![]() |
[9] |
Asymptotic behavior of non-autonomous lattice systems. J. Math. Anal. Appl. (2007) 331: 121-136. ![]() |
[10] |
S. Zhou, Attractors for first order dissipative lattice dynamical systems, Phys. D, 178 (2003) 51–61. doi: 10.1016/S0167-2789(02)00807-2
![]() |