The basal ganglia and the cerebellum are considered to be distinct subcortical systems that
perform unique functional operations. The outputs of the basal ganglia and the cerebellum …

Importance Computational psychiatry studies have investigated how reinforcement learning
may be different in individuals with mood and anxiety disorders compared with control …

Deep reinforcement learning is the combination of reinforcement learning (RL) and deep
learning. This field of research has been able to solve a wide range of complex …

The emergence of powerful artificial intelligence (AI) is defining new research directions in
neuroscience. To date, this research has focused largely on deep neural networks trained …

In natural behaviour, animals actively interrogate their environments using endogenously
generated 'question-and-answer'strategies. However, in laboratory settings participants …

Abstract The Fifth Eriksholm Workshop on “Hearing Impairment and Cognitive Energy” was
convened to develop a consensus among interdisciplinary experts about what is known on …

Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and
widely considered to be the unwanted consequence of a noisy nervous system. However …

As gamification grows in popularity, there has been increased interest in its potential as a
motivating and engaging learning strategy. Yet, it is still a controversial issue in education …

Objective Chronic stroke patients with severe hand weakness respond poorly to
rehabilitation efforts. Here, we evaluated efficacy of daily brain–machine interface (BMI) …

Little is known about the relationship between attention and learning during decision
making. Using eye tracking and multivariate pattern analysis of fMRI data, we measured …