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 …

As animals navigate on a two-dimensional surface, neurons in the medial entorhinal cortex
(MEC) known as grid cells are activated when the animal passes through multiple locations …

More than three decades of research have demonstrated a role for hippocampal place cells
in representation of the spatial environment in the brain. New studies have shown that place …

Grid cells in the rat entorhinal cortex display strikingly regular firing responses to the
animal's position in 2-D space and have been hypothesized to form the neural substrate for …

Navigation first requires accurate perception of one's spatial orientation within the
environment, which consists of knowledge about location and directional heading. Cells …

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 …

We examined simultaneously recorded spikes from multiple rat grid cells, to explain
mechanisms underlying their activity. Among grid cells with similar spatial periods, the …

We characterize the relationship between the simultaneously recorded quantities of rodent
grid cell firing and the position of the rat. The formalization reveals various properties of grid …