Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …

RNA sequencing (RNAseq) can reveal gene fusions, splicing variants, mutations/indels in
addition to differential gene expression, thus providing a more complete genetic picture than …

Machine learning (ML) models are now routinely deployed in domains ranging from criminal
justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and …

Noninvasive behavioral tracking of animals during experiments is critical to many scientific
pursuits. Extracting the poses of animals without using markers is often essential to …

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 …

Animal behavior is shaped by a variety of" internal states"—partially hidden variables that
profoundly shape perception, cognition, and action. The neural basis of internal states, such …

The breadth and complexity of natural behaviors inspires awe. Understanding how our
perceptions, actions, and internal thoughts arise from evolved circuits in the brain has …

The need for automated and efficient systems for tracking full animal pose has increased
with the complexity of behavioral data and analyses. Here we introduce LEAP (LEAP …

The brain is worthy of study because it is in charge of behavior. A flurry of recent technical
advances in measuring and quantifying naturalistic behaviors provide an important …

Extracting behavioral measurements non-invasively from video is stymied by the fact that it is
a hard computational problem. Recent advances in deep learning have tremendously …