For over half a century, male rodents have been the default model organism in preclinical
neuroscience research, a convention that has likely contributed to higher rates of …

High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …

Keypoint tracking algorithms can flexibly quantify animal movement from videos obtained in
a wide variety of settings. However, it remains unclear how to parse continuous keypoint …

The anatomy of the mammalian visual system, from the retina to the neocortex, is organized
hierarchically. However, direct observation of cellular-level functional interactions across this …

Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …

We developed a miniaturized two-photon microscope (MINI2P) for fast, high-resolution,
multiplane calcium imaging of over 1,000 neurons at a time in freely moving mice. With a …

Highlights•Deep neural networks are shattering performance benchmarks in computer
vision for various tasks.•Using modern deep learning approaches (DNNs) in the lab is a …

Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …

Hallucinations limit widespread therapeutic use of psychedelics as rapidly acting
antidepressants. Here we profiled the non-hallucinogenic lysergic acid diethylamide (LSD) …

We develop soft and stretchable fatigue-resistant hydrogel optical fibers that enable
optogenetic modulation of peripheral nerves in naturally behaving animals during persistent …