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 …

The mammalian hippocampal formation contains several distinct populations of neurons
involved in representing self-position and orientation. These neurons, which include place …

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

Everyday tasks in social settings require humans to encode neural representations of not
only their own spatial location, but also the location of other individuals within an …

Memory and planning rely on learning the structure of relationships among experiences.
Compact representations of these structures guide flexible behavior in humans and animals …

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 …

Much of our understanding of navigation comes from the study of individual species, often
with specific tasks tailored to those species. Here, we provide a novel experimental and …

Researchers across cognitive, neuro-and computer sciences increasingly reference 'human-
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …

The hippocampal-entorhinal region supports memory for episodic details, such as temporal
relations of sequential events, and mnemonic constructions combining experiences for …

Efficient navigation is supported by a cognitive map of space. The hippocampus plays a key
role for this map by linking multimodal sensory information with spatial memory …