Brain network models of cognitive control are central to advancing our understanding of
psychopathology and cognitive dysfunction in schizophrenia. This review examines the role …

The brain is arguably the most powerful computation system known. It is extremely efficient
in processing large amounts of information and can discern signals from noise, adapt, and …

Bayesian theories of autism spectrum disorders (ASD) suggest that atypical predictive
mechanisms could underlie the autistic symptomatology, but little is known about their …

Humans synchronize with one another to foster successful interactions. Here, we use a
multimodal data fusion approach with the aim of elucidating the neurobiological …

Abstract Background According to Bayesian hypotheses, individuals with Autism Spectrum
Disorder (ASD) have difficulties making accurate predictions about their environment. In …

Current diagnostic criteria for schizophrenia place emphasis on delusions and
hallucinations, whereas the classical descriptions of schizophrenia by Kraepelin and Bleuler …

Highlights•This opinion highlights transient and generative nature of neurochemical
biomarkers.•It criticizes weaknesses of implicit behaviourism in neuroscience.•Functional …

The objective of this article was to review existing research to assess the evidence for
predictive processing (PP) in sign language, the conditions under which it occurs, and the …

Tinnitus can be defined as the conscious perception of phantom sounds in the absence of
corresponding external auditory signals. Tinnitus can develop in the setting of sudden …

Several mechanisms have been proposed to explain how young children solve the puzzle of
mapping spoken words to their meanings. The influential syntactic bootstrapping theory …