Artificial intelligence (AI) is a field of computer science that deals with the simulation of
human intelligence using machines so that such machines gain problem-solving and …

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 …

Decades of neuroimaging studies have shown modest differences in brain structure and
connectivity in depression, hindering mechanistic insights or the identification of risk factors …

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 …

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

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 …

Over the past 3 decades, the volume of human motor learning research has grown
enormously. As such, the understanding of motor learning (ie, sustained change in motor …