42:16
published on June 9, 2026
Spatial mean-field models in neuroscience and the modelling of noisy grid cells
By Pierre Roux
Appears in collection : Mathematical models for proliferation and propagation / Modèles mathématiques pour la prolifération et la propagation
We consider a class of cross-diffusion systems modeling chemotactic aggregation by local sensing. While reminiscent of the classical (minimal) Keller-Segel system, which may exhibit blow-up in finite time, this class of system typically possesses global-in-time solutions. Using entropy and duality methods, we discuss their rich long-time behaviour. We also discuss possible extensions in presence of nonlinear self-diffusion.