A novel statistical algorithm for mining high-dimensional spike train (count) data for significant spatio-temporal patterns reveals new insights into task and brain area dependent functional organization of neural activity.

Action potentials propagating in axon bundles with bifurcating and terminating fibers cause strong and far-reaching extracellular potentials.

The hierarchy of entorhinal grid cell modules with constant scale ratios can self-organize through a new geometrically organized attractor mechanism.

Implementing neural changes associated with attention in a deep neural network causes performance changes that mimic those observed in humans and macaques.

Inspired by the sparse, sequential neural activity patterns observed in striatum, a new circuit model implements variable-speed activity, the encoding of multiple sequences, and a tutor/student relationship between cortex and striatum.

A theory of coordinated neural network dynamics in multiple brain areas offers an explanation for several recent experimental findings in the hippocampus and medial entorhinal cortex.

What can authors and reviewers do to keep common statistical mistakes out of the literature?

Advances in techniques for analysing single cells and tissues have inspired an international effort to create comprehensive reference maps of all human cells - the fundamental units of life - as a basis for both understanding human health and diagnosing, monitoring and treating disease.

Animals work in a world full of surprises, where using energy to position sensors proportional to the location's expected information avoids the pitfalls of positioning them at the information maxima.

Two evolutionary distant insect species share a common head direction circuit with subtle differences in neuronal morphologies that result in distinct circuit dynamics adapted to each species’ ecology.