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 …

Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

A central goal of artificial intelligence in high-stakes decision-making applications is to
design a single algorithm that simultaneously expresses generalizability by learning …

We are continuously bombarded by external inputs of various timescales from the
environment. How does the brain process this multitude of timescales? Recent resting state …

Comprehensively resolving neuronal identities in whole-brain images is a major challenge.
We achieve this in C. elegans by engineering a multicolor transgene called NeuroPAL (a …

Multimodal evidence suggests that brain regions accumulate information over timescales
that vary according to anatomical hierarchy. Thus, these experimentally defined “temporal …

We process and integrate multiple timescales into one meaningful whole. Recent evidence
suggests that the brain displays a complex multiscale temporal organization. Different …

The cortical population code is pervaded by activity patterns evoked by movement, but it
remains largely unknown how such signals relate to natural behavior or how they might …

In recent years the study of dynamic, between-brain coupling mechanisms has taken social
neuroscience by storm. In particular, interbrain synchrony (IBS) is a putative neural …

Network neuroscience has emphasized the connectional properties of neural elements–
cells, populations, and regions. This has come at the expense of the anatomical and …