Predictive coding is a theoretical framework in which the brain is modeled as a hierarchical system that generates predictions about incoming sensory data, constantly updating its internal models to minimize prediction errors. Autism, in the context of predictive coding, is hypothesized to involve atypicalities in how the brain generates, updates, and weights predictions and prediction errors, contributing to sensory sensitivities, repetitive behaviors, and social difficulties.[Read in more detail]
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