Set size effects in visual working memory are explained as a resource-rational trade-off between an error-based behavioral cost and a neural encoding cost.

A simple model provides an accessible framework to infer macroscopic parameters of effective resource competition from longitudinal studies of microbial communities.

A coarse-grained model of microbial growth coupling fluxes of carbon and energy shows that resource allocation is a major explanatory factor of the observed variability of growth rates and growth yields across different bacterial strains.

Multistability and regime shifts are common and species diversity is high in microbial communities when nutrient supplies are balanced and competing species have different stoichiometries of essential nutrients.

A simple efficient coding model predicts complex trade-offs in resource allocation for sensory inputs with heterogeneous receptor densities and activation levels.

Imprecision in decoding information and swap error, that is, mistakenly reporting a non-target feature, contributes to working memory deficit in the multiple sclerosis population.

Laboratory experiments using a microbial community and mathematical modeling reveal how environmental disturbances can predictably alter the diversity and composition of an ecosystem.

In a consumer-resource model obeying the physical requirement of flux conservation, metabolic competition between microbes yields consortia of cell types that collectively resist invasion via optimal use of resources.

The ion channel genealogy resource is a comprehensive and intuitive comparison tool for ion channel models and experimental data, helping to visualize their similarity and function to facilitate better experimentally-constrained modeling.