Lower semicontinuity of global attractors for a class of evolution equations type neural fields in a bounded domain
Severino Hor\'acio da Silva

TL;DR
This paper studies the stability and continuity properties of global attractors for a class of nonlocal evolution equations modeling neural activity, establishing new results on their existence, Lyapunov functionals, and lower semicontinuity.
Contribution
It introduces stronger existence results for global attractors, constructs Lyapunov functionals, and proves lower semicontinuity of attractors with respect to the connectivity function J.
Findings
Existence of global attractors is established with improved results.
A Lyapunov functional for the system is constructed.
Global attractors are shown to be lower semicontinuous with respect to J.
Abstract
In this work we consider the nonlocal evolution equation which arises in models of neuronal activity, in , where denotes the unit sphere. We obtain stronger results on existence of global attractors and Lypaunov functional than the already existing in the literature. Furthermore, we prove the result, not yet known in the literature, of lower semicontinuity of global attractors with respect to connectivity function .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStability and Controllability of Differential Equations · Neural Networks Stability and Synchronization · Model Reduction and Neural Networks
