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 …

Two different perspectives have informed efforts to explain the link between the brain and
behaviour. One approach seeks to identify neural circuit elements that carry out specific …

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 …

Humans and animals use mental representations of the spatial structure of the world to
navigate. The classical view is that these representations take the form of Euclidean …

Deep neural networks have achieved impressive successes in fields ranging from object
recognition to complex games such as Go,. Navigation, however, remains a substantial …

Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …

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 …

Since the first place cell was recorded and the cognitive-map theory was subsequently
formulated, investigation of spatial representation in the hippocampal formation has evolved …

An organism's survival can depend on its ability to recall and navigate to spatial locations
associated with rewards, such as food or a home. Accumulating research has revealed that …

To solve the spatial problems of mapping, localization and navigation, the mammalian
lineage has developed striking spatial representations. One important spatial representation …