Highlights • Neural network models of vision are dominated by feedforward architectures. •
Biological vision, by contrast, exhibits abundant recurrent processing. • The computational …

Bayesian theories of neural coding propose that sensory uncertainty is represented by a
probability distribution encoded in neural population activity, but direct neural evidence …

Although practice has long been known to improve perceptual performance, the neural basis
of this improvement in humans remains unclear. Using fMRI in conjunction with a novel …

How does the brain represent the reliability of its sensory evidence? Here, we test whether
sensory uncertainty is encoded in cortical population activity as the width of a probability …

What gives rise to the human sense of confidence? Here we tested the Bayesian hypothesis
that confidence is based on a probability distribution represented in neural population …

Brain decoding algorithms form an important part of the arsenal of analysis tools available to
neuroscientists, allowing for a more detailed study of the kind of information represented in …

Although confidence is commonly believed to be an essential element in decision-making, it
remains unclear what gives rise to one's sense of confidence. Recent Bayesian theories …

Cortical activity can be difficult to interpret. Neural responses to the same stimulus vary
between presentations, due to random noise and other sources of variability. This unreliable …

Correction to: Nature Human Behaviour https://doi. org/10.1038/s41562-021-01247-w,
published online 20 January 2022. In the version of this article initially published, there were …

The world consists of objects: distinct entities possessing independent properties and dynamics.
For agents to interact with the world intelligently, they must translate sensory inputs into …