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

Cognition can be defined as computation over meaningful representations in the brain to
produce adaptive behaviour. There are two views on the relationship between cognition and …

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 …

Flexible computation is a hallmark of intelligent behavior. However, little is known about how
neural networks contextually reconfigure for different computations. In the present work, we …

Brains process information in spiking neural networks. Their intricate connections shape the
diverse functions these networks perform. Yet how network connectivity relates to function is …

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 …

Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …

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 …

Computational models in neuroscience usually take the form of systems of differential
equations. The behaviour of such systems is the subject of dynamical systems theory …

Highlights•New generations of recording and computing technologies have enabled
neuroscience at the level of the neural population.•Landmark scientific findings suggest the …