Maternal positional information in the fly embryo can be read rapidly in spite of the gene-expression bottleneck and general examples of regulatory architectures that combine speed and accuracy are provided.

Spatial accuracy of grid cell firing correlates with the slope of the local field potential theta frequency vs. running speed relationship and integrates velocity signals over past time.

Reward and punishment learning is represented in partly overlapping regions of the brain while relying on specific intra- and inter-regional interactions.

When a common error drives parallel implicit and explicit learning systems, increases in the explicit response will suppress implicit adaptation.

Unbiased and automatic annotation using structured prediction framework with efficiently built data-driven atlases is more accurate than registration-based methods for cell identifications in dense images and enables fast whole-brain analysis.

Whenever monkeys are required to choose between multiple options, neural responses indicate that they first select the desired outcome and then use this information to guide their actions.

Environmental heterogeneity may contribute to the high levels of genetic variation in glucosinolate genes found in Arabidopsis thaliana.

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.

Relative hydraulic resistance, shear rate, and pressure in a vascular network integrate the network's architecture via fluid flow, and determine vein dynamics, with a time delay, in the prototypical organism Physarum polycephalum.

Transcriptomic analysis using a novel information-based network entropy approach provides mechanistic insights into the ability of Klotho to successfully ameliorate age-related sarcopenia in old mice, but not oldest-old mice.