Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in …

Stress resilience is the phenomenon that some people maintain their mental health despite
exposure to adversity or show only temporary impairments followed by quick recovery …

The study of complex behaviors is often challenging when using manual annotation due to
the absence of quantifiable behavioral definitions and the subjective nature of behavioral …

The desire to understand how the brain generates and patterns behavior has driven rapid
methodological innovation in tools to quantify natural animal behavior. While advances in …

Measures of human movement dynamics can predict outcomes like injury risk or
musculoskeletal disease progression. However, these measures are rarely quantified in …

Social memory consists of two processes: the detection of familiar compared with novel
conspecifics and the detailed recollection of past social episodes. We investigated the …

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 …

The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …

Fully implantable wireless systems for the recording and modulation of neural circuits that do
not require physical tethers or batteries allow for studies that demand the use of …

Oxytocin regulates parturition, lactation, parental nurturing, and many other social behaviors
in both sexes. The circuit mechanisms by which oxytocin modulates social behavior are …