Why do we sometimes spend too much time on seemingly impossible-to-solve tasks instead
of just moving on? Masís et al. provide a new perspective on the speed–accuracy trade-off …

All forms of cognition, whether natural or artificial, are subject to constraints of their
computing architecture. This assumption forms the tenet of virtually all general theories of …

A better understanding of social human dynamics would be a powerful tool to improve
nearly any computational endeavour that involves human interactions. This includes …

Current theories of decision-making propose that decisions arise through competition
between choice options. Computational models of the decision process estimate how …

Biological and artificial learning agents face numerous choices about how to learn, ranging
from hyperparameter selection to aspects of task distributions like curricula. Understanding …

Introduction Although schizophrenia is associated with a broad range of symptoms including
hallucinations, delusions, and reduced motivation, measures of cognitive dysfunction …

How do I decide which restaurant to eat at? How do I form and update the beliefs about the
world that shape my behavior, from my food preferences to career path? The brain makes …

Invariant object recognition—the ability to recognize objects across size, rotation, or context—
is fundamental for making sense of a dynamic visual world. Although initially believed to be …

Human economic decisions are highly sensitive to contexts. Deciding between two
competing alternatives can be notoriously biased by their overall value ('magnitude effect') …

Although evidence integration to the boundary model has successfully explained a wide
range of behavioral and neural data in decision making under uncertainty, how animals …