Skilled sensorimotor interactions with the world result from a series of decision-making
processes that determine, on the basis of information extracted during the unfolding …

In rodents, the medial aspect of the secondary motor cortex (M2) is known by other names,
including medial agranular cortex (AGm), medial precentral cortex (PrCm), and frontal …

Despite rapid advances in machine learning tools, the majority of neural decoding
approaches still use traditional methods. Modern machine learning tools, which are versatile …

Over the last several years, the use of machine learning (ML) in neuroscience has been
rapidly increasing. Here, we review ML's contributions, both realized and potential, across …

We propose a computational neurology of movement based on the convergence of
theoretical neurobiology and clinical neurology. A significant development in the former is …

The study of the brain's representations of uncertainty is a central topic in neuroscience.
Unlike most quantities of which the neural representation is studied, uncertainty is a property …

How do patterns of neural activity in the motor cortex contribute to the planning of a
movement? A recent theory developed for single movements proposes that the motor cortex …

Humans consider the parameters linked to movement goal during reaching to adjust their
control strategy online. Indeed, rapid changes in target structure or disturbances interfering …

Competitive selection, the transformation of multiple competing sensory inputs and internal
states into a unitary choice, is a fundamental component of animal behavior. Selection …

Altered functioning of the inhibition system and the resulting higher impulsivity are known to
play a major role in overeating. Considering the great impact of disinhibited eating behavior …