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 …

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 …

Many behavioural tasks require the manipulation of mathematical vectors, but, outside of
computational models,,,,,–, it is not known how brains perform vector operations. Here we …

Flexible behaviors over long timescales are thought to engage recurrent neural networks in
deep brain regions, which are experimentally challenging to study. In insects, recurrent …

Making inferences about the computations performed by neuronal circuits from synapse-
level connectivity maps is an emerging opportunity in neuroscience. The mushroom body …

Brains comprise complex networks of neurons and connections, similar to the nodes and
edges of artificial networks. Network analysis applied to the wiring diagrams of brains can …

The last decade has produced exciting new ideas about retrosplenial cortex (RSC) and its
role in integrating diverse inputs. Here, we review the diversity in forms of spatial and …

In neural networks that store information in their connection weights, there is a tradeoff
between sensitivity and stability,. Connections must be plastic to incorporate new …

Neuronal signals that are relevant for spatial navigation have been described in many
species,,,,,,,,–. However, a circuit-level understanding of how such signals interact to guide …

Animals generate neural representations of their heading direction. Notably, in insects,
heading direction is topographically represented by the activity of neurons in the central …