Computational modelling has been used to address: (1) the variety of symptoms observed
in schizophrenia using abstract models of behavior (eg Bayesian models – top-down …

The spiking response of a primary visual cortical cell to a stimulus placed within its receptive
field can be up- and down-regulated by the simultaneous presentation of objects or scenes …

Several studies have shown that the information conveyed by bell-shaped tuning curves
increases as their width decreases, leading to the notion that sharpening of tuning curves …

Expectations are known to greatly affect our experience of the world. A growing theory in
computational neuroscience is that perception can be successfully described using Bayesian …

Ten years ago, Pellicano and Burr published one of the most influential articles in the study
of autism spectrum disorders, linking them to aberrant Bayesian inference processes in the …

The characterization of gray matter morphology of individual brains is an important issue in
neuroscience. Graph theory has been used to describe cortical morphology, with networks …

According to a growing trend in theoretical neuroscience, the human perceptual system is
akin to a Bayesian machine. The aim of this article is to clearly articulate the claims that …

Neural activity and perception are both affected by sensory history. The work presented
here explores the relationship between the physiological effects of adaptation and their …

Expectations broadly influence our experience of the world. However, the process by which
they are acquired and then shape our sensory experiences is not well understood. Here, we …

Our perceptions are fundamentally altered by our knowledge of the world. When cloud-gazing,
for example, we tend spontaneously to recognize known objects in the random …