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 …

Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …

Map** behavioural actions to neural activity is a fundamental goal of neuroscience. As our
ability to record large neural and behavioural data increases, there is growing interest in …

Recent work has revealed that the neural activity patterns correlated with sensation,
cognition, and action often are not stable and instead undergo large scale changes over …

Advances in experimental neuroscience have transformed our ability to explore the structure
and function of neural circuits. At the same time, advances in machine learning have …

How the brain stores a sequence in memory remains largely unknown. We investigated the
neural code underlying sequence working memory using two-photon calcium imaging to …

A neuronal population encodes information most efficiently when its stimulus responses are
high-dimensional and uncorrelated, and most robustly when they are lower-dimensional …

Animals of the same species exhibit similar behaviours that are advantageously adapted to
their body and environment. These behaviours are shaped at the species level by selection …

Animals readily execute learned behaviors in a consistent manner over long periods of time,
and yet no equally stable neural correlate has been demonstrated. How does the cortex …

A major shift is happening within neurophysiology: a population doctrine is drawing level
with the single-neuron doctrine that has long dominated the field. Population-level ideas …