A distinctive recurrent network motif in the Drosophila central brain enables neurons that encode angular velocity to shift population activity in compass neurons, thereby updating their heading representation whenever the fly turns.

The analysis of T cell movement in multiple tissues (lymph node, villi, and lung under two different inflammatory conditions) sheds new light on how T cells navigate different tissue environments to improve immunity and search processes.

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.

Myelin-associated inhibitors and chondroitin sulfate proteoglycans are not the primary mechanism stopping sensory axons regenerating into the spinal cord, although their removal can markedly enhance regeneration when combined with an intervention that elevates axon growth capacity sufficiently robustly.

Experimental evolution shows that when selection acts on two traits constrained by a trade-off, the direction of phenotypic evolution depends on the environment.

Caudate neurons encode reward and sensory information and the effects of caudate microstimulation mimic the monkeys' voluntary reward bias strategy.

Integrin- and ERK signaling stimulates mammary epithelial cell proliferation when extracellular collagen condenses, causing asymmetric growth of multicellular aggregates that is necessary for elongation during branching morphogenesis.

Chemogenetic silencing reveals that entorhinal neurons require ongoing activity for survival, suggesting that their normal physiology may render them vulnerable to pathologies that impair transmission.

Two seemingly distinct cellular stress response pathways that contribute to neurodegeneration after axonal insults are now revealed to be under the control of a single master regulator of the neuronal injury response, the kinase DLK.

Microbial macroecological patterns under coarse-graining are captured by a null model of ecology, a result which was leveraged to successfully predict the relationship between fine and coarse-grained diversity.