Crawling Drosophila larvae and C. elegans exhibit diffusive behavior alongside directed motion, and the dynamics of this navigation can be analyzed with techniques developed in understanding protein folding, using a Markov state model.

Embryo-wide quantitative analysis of BMP signaling in zebrafish embryos, combined with a mathematical model-based computational screen, challenges the prevailing model of an antagonist counter-gradient shaping the gastrula BMP morphogen gradient and supports an antagonist sink with BMP diffusion mechanism.

When choosing between stimuli, the effort required to act on the resulting decision influences the processing of the stimuli themselves.

Error detection is contingent on the continuation of evidence accumulation after choice commitment, and the speed and accuracy of this process are modulated by high-level signals from medial frontal cortex.

A murine adoptive transfer model shows that binary IL-2 and graded CD25 expression tailor the T helper cell response to the antigen amount in vivo.

The powerful computational operation of sequence recognition on behavioral timescales of approximately 1 s may emerge from synaptic activity-triggered build-up of biochemical waves in short 20 micron zones on dendrites.

Statistical analysis of evidence-based decisions reveals new insights into the source of behavioral variability.

C. elegans foraging efficiently approximate maximally informative search strategies that involve abrupt switching between different types of behaviors.

Through a combination of modeling and experiments it is shown that humans can near-optimally accumulate decision-related evidence across time and cues even when reaction time is under their control.

Regulatory success operates by goal-consistent increases and decreases of distinct attribute representations in generic neural hubs and in domain-specific brain regions, explaining when and why regulatory success generalizes across domains and contexts.