Background: Cognitive tasks are typically viewed as effortful, frustrating, and repetitive,
which often leads to participant disengagement. This, in turn, may negatively impact data …

Highlights•The combination of data-driven machine learning and theory-driven
computational models holds great promise for psychiatry.•Machine-learning analyses of …

Cultural ecosystem services, such as aesthetic and recreational enjoyment, as well as sense
of place and local identity, play an outstanding role in the contribution of landscapes to …

Improvements in understanding the neurobiological basis of mental illness have
unfortunately not translated into major advances in treatment. At this point, it is clear that …

This article provides an overview of the recent literature on the use of internet-based testing
to address important questions in perception research. Our goal is to provide a starting point …

Importance Major depressive disorder (MDD) is associated with deficits in representing
reward prediction errors (RPEs), which are the difference between experienced and …

Loss aversion is a central element of prospect theory, the dominant theory of decision
making under uncertainty for the past four decades, and refers to the overweighting of …

One of the major risk factors for global death and disability is alcohol, tobacco, and illicit drug
use. While there is increasing knowledge with respect to individual factors promoting the …

With the prevalence of smartphones, new ways of engaging citizens and stakeholders in
urban planning and governance are emerging. The technologies in smartphones allow …

A weakened ability to effectively resist distraction is a potential basis for reduced working
memory capacity (WMC) associated with healthy aging. Exploiting data from 29,631 users of …