The study of the cortical control of movement experienced a conceptual shift over recent
decades, as the basic currency of understanding shifted from single-neuron tuning towards …

Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …

Large language models (LLMs) have been transformative. They are pretrained foundational
models that are self-supervised and can be adapted with fine-tuning to a wide range of …

Brain–computer interfaces (BCIs) can restore communication to people who have lost the
ability to move or speak. So far, a major focus of BCI research has been on restoring gross …

How do neural populations code for multiple, potentially conflicting tasks? Here we used
computational simulations involving neural networks to define" lazy" and" rich" coding …

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 …

Neural recording electrode technologies have contributed considerably to neuroscience by
enabling the extracellular detection of low-frequency local field potential oscillations and …

INTRODUCTION In the absence of sensory inputs, the brain produces structured patterns of
activity, which can be as large as or larger than sensory-driven activity. Ongoing activity …

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 …

The ongoing exponential rise in recording capacity calls for new approaches for analysing
and interpreting neural data. Effective dimensionality has emerged as an important property …