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 …

For many years, the dominant theoretical framework guiding research into the neural origins
of perceptual experience has been provided by hierarchical feedforward models, in which …

Understanding spoken language requires transforming ambiguous acoustic streams into a
hierarchy of representations, from phonemes to meaning. It has been suggested that the …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …

This book is about mental imagery and the important work it does in our mental life. It plays a
crucial role in the vast majority of our perceptual episodes. It also helps us understand many …

Any cognitive function is mediated by a network of many cortical sites whose activity is
orchestrated through complex temporal dynamics. To understand cognition, we need to …

Existing video prediction methods mainly rely on observing multiple historical frames or
focus on predicting the next one-frame. In this work, we study the problem of generating …

We feel that we perceive events in the environment as they unfold in real-time. However, this
intuitive view of perception is impossible to implement in the nervous system due to …

For more than 100 years we have known that the visual field is mapped onto the surface of
visual cortex, imposing an inherently spatial reference frame on visual information …