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 …

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 …

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

ABSTRACT A common need for artificial intelligence models in the broader geoscience is to
encode various types of spatial data, such as points, polylines, polygons, graphs, or rasters …

Recent evidence has demonstrated that environmental sampling is a fundamentally
rhythmic process. Both perceptual sensitivity during covert spatial attention and the …

A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …

During spatial navigation, neural activity in the hippocampus and the medial entorhinal
cortex (MEC) is correlated to navigational variables such as location,, head direction, speed …

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 …

Classic studies of spatial attention assumed that its neural and behavioral effects were
continuous over time. Recent behavioral studies have instead revealed that spatial attention …

The precise functional role of the hippocampus remains a topic of much debate. The
dominant view is that the dorsal (or posterior) hippocampus is implicated in memory and …