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 …

Multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data represents a
revolutionary approach to investigate how the brain encodes information. By considering …

Perceptual biases are widely regarded as offering a window into the neural computations
underlying perception. To understand these biases, previous work has proposed a number …

Sensory perception is widely considered an inference process that reflects the best guess of
a stimulus feature based on uncertain sensory information. Here we challenge this …

Autism impacts a wide range of behaviors and neural functions. As such, theories of autism
spectrum disorder (ASD) are numerous and span different levels of description, from …

Is the role of our sensory systems to represent the physical world as accurately as possible?
If so, are our preferences and emotions, often deemed irrational, decoupled from …

Autism Spectrum Disorder (ASD) is a common neurodevelopmental disturbance afflicting a
variety of functions. The recent computational focus suggesting aberrant Bayesian inference …

Autism spectrum disorder (ASD) is characterized by a panoply of social, communicative, and
sensory anomalies. As such, a central goal of computational psychiatry is to ascribe the …

Individuals diagnosed with autism spectrum disorder (ASD) show neural and behavioral
characteristics differing from the neurotypical population. This may stem from a …

Autism spectrum disorder (ASD) is associated with a hyper‐focused visual attentional style,
impacting higher‐order social and affective domains. The understanding of such peculiarity …