Research

Our research group studies questions at the intersection of AI, neuroscience, and engineering. We build brain-machine interfaces to help paralyzed people move again, and we use AI to model and understand how populations of neurons carry out computations in the brain. 

Projects

Non-invasive BMIs

We build non-invasive brain-machine interfaces (BMIs) to help people with paralysis move. We record and decode EEG in real-time with state-of-the-art AI to control robotic arms and computer cursors.

Video: A paralyzed participant controls a robotic arm with neural signals recorded through a headcap. Full video + description here.

Shared autonomy

We design algorithms for AI copilots to assist humans with tasks. 

Video: A participant is unable to play Lunar Lander well (left) but with IDA, an AI copilot, he plays the game at a high level (right).

EMG interfaces

We build EMG interfaces to non-invasively perform tasks.

Video: Non-invasive EMG control of Pacman and Mario Kart.

Neural population + AI

We build RNN models of behavior, including decision-making. We collaborate with the Hong lab and the Chand lab.