Realistic reaction-diffusion signaling networks that include cell-autonomous factors can robustly form self-organizing spatial patterns for any combination of diffusion coefficients without requiring differential diffusivity.

In budding yeast, nascent polarity sites engage in a winner-takes-all contest to determine a single front.

Shearing in fluid flow induces or enhances budding dispersal in microbial populations, resulting in stronger cooperative behavior.

A mathematical modelling approach to understanding zebrafish stripe pattern formation exemplifies a biological rule-set sufficient to generate wild-type and a diverse range of mutant patterns.

A trait-based model of dryland vegetation uncovers the roles of spatial self-organization in maintaining biodiversity in a changing climate and offers novel ways of managing ecosystems at risk.

Genetic, biochemistry and modeling approaches reveal elements of a Turing-type reaction-diffusion system to control pattern formation in differentiating cyanobacterial filaments.

The transition from a restrictive patterning mechanism to one sensitive to a variety of environmental cues in NOTCH-mediated angiogenesis offers crucial insights into vascularization in damaged organs and cancer therapy.

Combined experimental and theoretical analysis identifies a molecular mechanism akin to working memory that enables single cells to perform complex navigation tasks in changing growth factor fields, beyond simple stimulus-response associations.

Brian 2 is a software package for neural simulations that makes it both easy and computationally efficient to define original models for computational experiment.

New imaging approaches question a long-standing model for how the eyes of fruit flies acquire their geometric patterning.