Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

Autism is a neurodevelopmental disorder of unknown etiology. Recently, there has been a
growing interest in sensory processing in autism as a core phenotype. However, basic …

Human perceptual decisions are often described as optimal. Critics of this view have argued
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …

This investigation examined developmental change in how children perceive and act on
dynamic affordances when crossing roads on foot. Six-to 14-year-olds and adults crossed …

Examining development is important in addressing questions about whether Bayesian
principles are hard coded in the brain. If the brain is inherently Bayesian, then behavior …

Objective Injury as pedestrians is a leading contributor to childhood deaths. This study
evaluated the effectiveness of Safe Peds, a fully immersive virtual reality training program to …

Abstract Changes in the body over developmental time (eg, physical growth) as well as over
shorter timescales (eg, wearing a backpack, carrying a large object) alter possibilities for …

The disagreements among commentators may appear substantial, but much of the debate
seems to stem from inconsistent use of the term optimality. Optimality can be used to indicate …

In the target article, Rahnev & Denison (R&D) use serial effects as an example of
suboptimality. We show here that serial effects can be beneficial to perception, serving to …

We describe the difficulties of measuring variability in performance, a critical but largely
ignored problem in studies of risk perception. The problem seems intractable if a large …