Perception and perceptual decision-making are strongly facilitated by prior knowledge about
the probabilistic structure of the world. While the computational benefits of using prior …

A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …

We present SlowFast networks for video recognition. Our model involves (i) a Slow pathway,
operating at low frame rate, to capture spatial semantics, and (ii) a Fast pathway, operating …

Hallucinations, perceptions in the absence of objectively identifiable stimuli, illustrate the
constructive nature of perception. Here, we highlight the role of prior beliefs as a critical …

To learn how cognition is implemented in the brain, we must build computational models
that can perform cognitive tasks, and test such models with brain and behavioral …

How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …

Decisions vary in difficulty. Humans know this and typically report more confidence in easy
than in difficult decisions. However, confidence reports do not perfectly track decision …

WINNER OF THE 2014 BRAIN PRIZE From the acclaimed author of Reading in the Brain
and How We Learn, a breathtaking look at the new science that can track consciousness …

Two theoretical ideas have emerged recently with the ambition to provide a unifying
functional explanation of neural population coding and dynamics: predictive coding and …

This article provides a synthesis and overview of a theory of cognitive development, rational
constructivism. The basic tenets of this view are as follows:(a) Initial state: Human infants …