Prior expectations about the visual world facilitate perception by allowing us to quickly deduce
plausible interpretations from noisy and ambiguous data. The neural mechanisms of this …

Predictive coding models suggest that predicted sensory signals are attenuated (silencing
of prediction error). These models, though influential, are challenged by the fact that …

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

When spatial attention is directed toward a particular stimulus, increased activity is commonly
observed in corresponding locations of the visual cortex. Does this attentional increase in …

The cortical reinstatement hypothesis of memory retrieval posits that content-specific cortical
activity at encoding is reinstated at retrieval. Evidence for cortical reinstatement was found …

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 …

Biphasic neural response properties, where the optimal stimulus for driving a neural response
changes from one stimulus pattern to the opposite stimulus pattern over short periods of …

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 …