Adaptive behavior in a complex, dynamic, and multisensory world poses some of the most
fundamental computational challenges for the brain, notably inference, decision-making …

How we estimate uncertainty is important in decision neuroscience and has wide-ranging
implications in basic and clinical neuroscience, from computational models of optimality to …

Human perceptual decisions are often described as optimal. Critics of this view have argued
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …

Integration of multiple sensory cues is essential for precise and accurate perception and
behavioral performance, yet the reliability of sensory signals can vary across modalities and …

The perception of self-motion direction, or heading, relies on integration of multiple sensory
cues, especially from the visual and vestibular systems. However, the reliability of sensory …

The richness of perceptual experience, as well as its usefulness for guiding behaviour,
depends on the synthesis of information across multiple senses. Recent decades have …

Probability has played a central role in models of perception for more than a century, but a
look at probabilistic concepts in the literature raises many questions. Is being Bayesian the …

This project investigated the ways in which visual cues and bodily cues from self-motion are
combined in spatial navigation. Participants completed a homing task in an immersive virtual …

The processing of multisensory signals is crucial for effective interaction with the
environment, but our ability to perform this vital function changes as we age. In the first part …

People are constantly surrounded by sights, sounds, odors, and tactile stimuli, and they
combine these sensory cues into their percepts. We construct a coherent understanding of …