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 …

Two different perspectives have informed efforts to explain the link between the brain and
behaviour. One approach seeks to identify neural circuit elements that carry out specific …

The medial entorhinal cortex is part of a neural system for map** the position of an
individual within a physical environment. Grid cells, a key component of this system, fire in a …

Although interactions between the thalamus and cortex are critical for cognitive function,,,
the exact contribution of the thalamus to these interactions remains unclear. Recent studies …

A chimera state is a spatio-temporal pattern in a network of identical coupled oscillators in
which synchronous and asynchronous oscillation coexist. This state of broken symmetry …

Neural circuits construct distributed representations of key variables—external stimuli or
internal constructs of quantities relevant for survival, such as an estimate of one's location in …

Working memory—the ability to maintain and manipulate information over a period of
seconds—is a core component of higher cognitive functions. The storage capacity of …

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 …

Computational strategies used by the brain strongly depend on the amount of information
that can be stored in population activity, which in turn strongly depends on the pattern of …

Ring attractors are a class of recurrent networks hypothesized to underlie the representation
of heading direction. Such network structures, schematized as a ring of neurons whose …