Patterning of nonlocal transport models in biology: the impact of spatial dimension
Thomas Jun Jewell, Andrew L. Krause, Philip K. Maini, Eamonn A., Gaffney

TL;DR
This paper extends the analysis of nonlocal transport models in biology from one to higher spatial dimensions, revealing how pattern formation depends on dimension and interaction type, with implications for biological phenomena like zebrafish stripe formation.
Contribution
The study generalizes pattern formation analysis of nonlocal models from 1D to higher dimensions, uncovering dimension-dependent behaviors and conditions for pattern emergence in biological systems.
Findings
Pattern formation occurs only in dimensions higher than one for certain nonlocal models.
Complex spatio-temporal patterns, spots, and stripes emerge depending on interactions.
Pattern formation capacity fundamentally changes with spatial dimension in nonlocal models.
Abstract
Throughout developmental biology and ecology, transport can be driven by nonlocal interactions. Examples include cells that migrate based on contact with pseudopodia extended from other cells, and animals that move based on their vision of other animals. Nonlocal integro-PDE models have been used to investigate contact attraction and repulsion in cell populations in 1D. In this paper, we generalise the analysis of pattern formation in such a model from 1D to higher spatial dimensions. Numerical simulations in 2D demonstrate complex behaviour in the model, including spatio-temporal patterns, multi-stability, and the selection of spots or stripes heavily depending on interactions being attractive or repulsive. Through linear stability analysis in dimensions, we demonstrate how, unlike in local Turing reaction-diffusion models, the capacity for pattern formation fundamentally changes…
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
TopicsNonlinear Dynamics and Pattern Formation · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematical Biology Tumor Growth
