Perceptual decision making can be accounted for by drift-diffusion models, a class of
decision-making models that assume a stochastic accumulation of evidence on each trial …

This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …

Over the last several decades, spatial attention has been shown to influence the activity of
neurons in visual cortex in various ways. These conflicting observations have inspired …

Sequential sampling decision-making models have been successful in accounting for
reaction time (RT) and accuracy data in two-alternative forced choice tasks. These models …

Intermodal integration required for perceptual learning tasks is rife with individual
differences. Participants vary in how they use perceptual information to one modality. One …

The requirement to orient attention in space and time usually occurs simultaneously.
Previous reports were indecisive regarding possible interactions between temporal and …

Training-induced performance gains in a visual perceptual learning (VPL) task that take
place during sleep are termed “offline performance gains.” Offline performance gains of VPL …

When viewing familiar stimuli (eg, common words), processing is highly automatized such
that it can interfere with the processing of incompatible sensory information. At least two …

Many AIs are created to solve problems that humans alone cannot solve. AIs designed to
work in human teams should include requirements necessary to work within a team. This …

Performance in detection tasks can be improved by directing attention to task-relevant
features. In this study, we evaluate the direction tuning of selective attention to motion …