Although long-term memory consolidation is supported by sleep, it is unclear how it differs
from that during wakefulness. Our review, focusing on recent advances in the field, identifies …

The spontaneous replay of patterns of activity related to past experiences and memories is a
striking feature of brain activity, as is the coherent activation of sets of brain areas …

Hippocampal neurons encode physical variables,,,,,–such as space or auditory frequency in
cognitive maps. In addition, functional magnetic resonance imaging studies in humans have …

In recent years, reinforcement learning (RL) has attracted significant attention from both
industry and academia due to its success in solving some complex problems. This paper …

Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …

In this article, we aim to provide a literature review of different formulations and approaches
to continual reinforcement learning (RL), also known as lifelong or non-stationary RL. We …

Neuroscience research is undergoing a minor revolution. Recent advances in machine
learning and artificial intelligence research have opened up new ways of thinking about …

Arguably, the most difficult part of learning is deciding what to learn about. Should I
associate the positive outcome of safely completing a street-crossing with the situation 'the …

INTRODUCTION Adaptive decision-making requires assimilation of reward information to
guide subsequent choices. However, actions and outcomes are often separated by time and …

Psychiatric disorders encompass complex aberrations of cognition and affect and are
among the most debilitating and poorly understood of any medical condition. Current …