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 neural circuits responsible for animal behavior remain largely unknown. We summarize
new methods and present the circuitry of a large fraction of the brain of the fruit fly …

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 …

Many animals rely on persistent internal representations of continuous variables for working
memory, navigation, and motor control. Existing theories typically assume that large …

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 …

The neocortex is a complex neurobiological system with many interacting regions. How
these regions work together to subserve flexible behavior and cognition has become …

A goal of neuroscience is to obtain a causal model of the nervous system. The recently
reported whole-brain fly connectome,–specifies the synaptic paths by which neurons can …

Many animals can navigate toward a goal they cannot see based on an internal
representation of that goal in the brain's spatial maps. These maps are organized around …