State anxiety alters the dynamics of beta oscillations during reward-dependent motor learning, thereby impairing proper updating of motor predictions when learning in unstable environments.

A first principles, neuro-computational framework proposes a path for the experimental dissection of neural circuit mechanisms of competitive selection across brain areas and animal species.

A proposal for a complete cellular/network implementation of trial-and-error motor learning in the olivo-cerebellar system.

Enantiornithine birds reached similar dietary diversity to modern birds in a similar amount of time many millions of years earlier, but how exactly they did that requires further research.

A computational model of the neuronal network that recognizes mating signals reveals network properties that support and constrain behavioral diversity in a species group.

A cortical model inspired by cognitive theories and deep learning demonstrates how the combination of wakefulness, non-rapid eye movement (NREM), and REM dreams leads to the emergence of robust and semantically organized neuronal representations in higher cortical areas.

During perceptual decision-making, some errors on easy decisions (lapses) are not simply mistakes, but instead reflect strategic decisions to explore actions associated with uncertain rewards.