Neuroscientists have long characterized the properties and functions of the nervous system,
and are increasingly succeeding in answering how brains perform the tasks they do. But the …

A central challenge for cognitive science is to explain how abstract concepts are acquired
from limited experience. This has often been framed in terms of a dichotomy between …

Adaptive behaviour requires the ability to focus on a task and protect it from distraction
(cognitive stability) and to rapidly switch tasks when circumstances change (cognitive …

Cognitive control modulates other cognitive functions to achieve internal goals and is
important for adaptive behavior. Cognitive control is enabled by the neural computations …

This bestselling textbook provides an engaging introduction to 11 major theories about
human development that continue to guide research, intervention, and practice. The theories …

A hallmark of adaptation in humans and other animals is our ability to control how we think
and behave across different settings. Research has characterized the various forms …

Reinforcement learning and working memory are two core processes of human cognition
and are often considered cognitively, neuroscientifically, and algorithmically distinct. Here …

Recurrent neural networks (RNNs) trained with machine learning techniques on cognitive
tasks have become a widely accepted tool for neuroscientists. In this short opinion piece, we …

Humans can learn several tasks in succession with minimal mutual interference but perform
more poorly when trained on multiple tasks at once. The opposite is true for standard deep …

Humans are able to rapidly perform novel tasks, but show pervasive performance costs
when attempting to do two things at once. Traditionally, empirical and theoretical …