A grooming sequence is produced by a neural architecture that readies different movements simultaneously, and a mechanism where prioritized suppression between the movements determines their sequential performance.

Gaining genetic control over neural modules that drive the grooming of each Drosophila body part reveals how mechanisms for selecting among competing behavioral choices are used to generate sequences of actions.

A specific neuronal pathway within the auditory system represents information about the statistical prediction and error for incoming sounds, thereby contributing to efficient representation of complex sounds and sound streams in the brain.

Arid1a loss in the pancreas enables an irreversible reprogramming of cell fate that is dependent on both cellular and genetic context.

Computational modeling of behavioral and neural data from monkeys points towards a flat decision-making process in which the brain considers all possible final outcomes simultaneously.

Inactivation of a multifunctional RNA-binding protein can lead to the acquisition of pro-metastatic phenotypes, possibly by stabilizing large-scale transcriptomic changes that provide a selective advantage during cancer progression.

The statistics of binocular rivalry at different combinations of image contrast is reproduced quantitatively by competing out-of-equilibrium populations of independent neural assemblies with idealized attractor dynamics.

Multivariate analyses of human electrophysiological recordings revealed that the brain represents unexpected visual stimuli with greater fidelity than expected stimuli which arose independently of simple habituation arising from repetition.

Two neuropeptides, NPF1a and NPF2, act via the nitric oxide signaling pathway in the locust brain to regulate the trait transition between solitary and swarming behavior.

The decision to vocalize depends on neural circuits that balance the rewards of potential social affiliation with the risks of advertising.