Brain–computer interfaces (BCIs) for movement restoration typically decode the user's intent
from neural activity in their primary motor cortex (M1) and use this information to enable …

The study of the cortical control of movement experienced a conceptual shift over recent
decades, as the basic currency of understanding shifted from single-neuron tuning towards …

Classical models of perceptual decision-making assume that subjects use a single,
consistent strategy to form decisions, or that decision-making strategies evolve slowly over …

An animal's decision depends not only on incoming sensory evidence but also on its
fluctuating internal state. This state embodies multiple cognitive factors, such as arousal and …

Neuronal responses to similar stimuli change dynamically over time, raising the question of
how internal representations can provide a stable substrate for neural coding. Recent work …

How are we able to learn new behaviors without disrupting previously learned ones? To
understand how the brain achieves this, we used a brain-computer interface (BCI) learning …

Incentives tend to drive improvements in performance. But when incentives get too high, we
can" choke under pressure" and underperform right when it matters most. What neural …

How do changes in the brain lead to learning? To answer this question, consider an artificial
neural network (ANN), where learning proceeds by optimizing a given objective or cost …

Motor learning is often viewed as a unitary process that operates outside of conscious
awareness. This perspective has led to the development of sophisticated models designed …

There is rich variety in the activity of single neurons recorded during behaviour. Yet, these
diverse single neuron responses can be well described by relatively few patterns of neural …