Movement primitives are a common representation of movements in robotics for imitation learning, reinforcement learning, and black-box optimization of behaviors. There are many types and variations.

The brain at rest replays activity patterns observed during task performance, but the function of this replay remains unclear. Here, we test whether resting-state patterns encode information states by ...

In this paper, we present a novel means of control design for probabilistic movement primitives (ProMPs). Our proposed approach makes use of control barrier functions and control Lyapunov functions ...

Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a factory robot? Of course you have! Here you will find an implementation of four neural ...

Immersive virtual reality (VR) enables naturalistic neuroscientific studies while maintaining experimental control, but dynamic and interactive stimuli pose methodological challenges. We here probed ...

The prefrontal cortex (PFC) is known to play a key role in working memory maintenance. However, the PFC has been shown to exhibit unexpectedly rich and complex dynamics during even the simplest ...

August 18, 2020 marks the 100th anniversary of the ratification of the 19th Amendment. We hear about the major figures that fought for American universal suffrage at the movement's peak, but what ...