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 …

In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

The medial entorhinal cortex is part of a neural system for mapping the position of an
individual within a physical environment. Grid cells, a key component of this system, fire in a …

BACKGROUND Ever since Edward Tolman's proposal that comprehensive cognitive maps
underlie spatial navigation and, more generally, psychological functions, the question of …

The last decade has produced exciting new ideas about retrosplenial cortex (RSC) and its
role in integrating diverse inputs. Here, we review the diversity in forms of spatial and …

Neural circuits construct distributed representations of key variables—external stimuli or
internal constructs of quantities relevant for survival, such as an estimate of one's location in …

Research in Neuroscience, as in many scientific disciplines, is undergoing a renaissance
based on deep learning. Unique to Neuroscience, deep learning models can be used not …

The hippocampus and the medial entorhinal cortex are part of a brain system that maps self-
location during navigation in the proximal environment,. In this system, correlations between …

We present a model of how neural representations of egocentric spatial experiences in
parietal cortex interface with viewpoint-independent representations in medial temporal …

The symmetric, lattice-like spatial pattern of grid-cell activity is thought to provide a neuronal
global metric for space. This view is compatible with grid cells recorded in empty boxes but …