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 …

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 …

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 …

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

Sharp wave ripples (SPW‐Rs) represent the most synchronous population pattern in the
mammalian brain. Their excitatory output affects a wide area of the cortex and several …

A proposal for a fully post-phrenological neuroscience that details the evolutionary roots of
functional diversity in brain regions and networks. The computer analogy of the mind has …

The hippocampal system is critical for storage and retrieval of declarative memories,
including memories for locations and events that take place at those locations. Spatial …

We often assume that the variables of functional and structural brain parameters—such as
synaptic weights, the firing rates of individual neurons, the synchronous discharge of neural …

Several types of neurons involved in spatial navigation and memory encode the distance
and direction (that is, the vector) between an agent and items in its environment. Such …

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 …