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 …

Learning and interpreting the structure of the environment is an innate feature of biological
systems, and is integral to guiding flexible behaviors for evolutionary viability. The concept of …

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 …

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

The medial entorhinal cortex (MEC) is part of the brain's circuit for dynamic representation of
self-location. The metric of this representation is provided by grid cells, cells with spatial …

How the neocortex works is a mystery. In this paper we propose a novel framework for
understanding its function. Grid cells are neurons in the entorhinal cortex that represent the …

Mammals are able to navigate to hidden goal locations by direct routes that may traverse
previously unvisited terrain. Empirical evidence suggests that this" vector navigation" relies …

To determine how hippocampal backprojections influence spatially periodic firing in grid
cells, we recorded neural activity in the medial entorhinal cortex (MEC) of rats after …

Goal-directed navigation requires continuously integrating uncertain self-motion and
landmark cues into an internal sense of location and direction, concurrently planning future …

The ability to store and later use information is essential for a variety of adaptive behaviors,
including integration, learning, generalization, prediction and inference. In this Review, we …