In many everyday situations, our senses are bombarded by many different unisensory
signals at any given time. To gain the most veridical, and least variable, estimate of …

Computational learning models are critical for understanding mechanisms of adaptive
behavior. However, the two major current frameworks, reinforcement learning (RL) and …

The world tends to be stable from moment to moment, leading to strong serial correlations in
natural scenes. As similar stimuli usually require similar behavioural responses, it is highly …

Perceptual events derive their significance to an animal from their meaning about the world,
that is from the information they carry about their causes. The brain should thus be able to …

It has become accepted in the neuroscience community that perception and performance
are quintessentially multisensory by nature. Using the full palette of modern brain imaging …

Understanding of the brain and the principles governing neural processing requires theories
that are parsimonious, can account for a diverse set of phenomena, and can make testable …

Until recently, the question of how the brain performs causal inference has been studied
primarily in the context of cognitive reasoning. However, this problem is at least equally …

Research in multisensory processes has exploded over the last decade. Tremendous
advances have been made in a variety of fields from single-unit neural recordings and …

Background Synesthesia is a condition in which the stimulation of one sense elicits an
additional experience, often in a different (ie, unstimulated) sense. Although only a small …

When different perceptual signals of the same physical property are integrated, for example,
an objects' size, which can be seen and felt, they form a more reliable sensory estimate (eg …