Neural Systems Lab

Research in the Neural Systems Lab at the University of Washington focuses on understanding the brain using computational models and simulations, and applying this knowledge to the task of developing human-like artificial intelligence (AI) and brain-computer interfaces (BCIs).

We utilize data and techniques from a variety of fields, ranging from neuroscience and psychology to artificial intelligence, machine learning and statistics. Current efforts are focused on:


(1) Hierarchical predictive coding and probabilistic models to understand the brain,

(2) Neuroscience-inspired general AI frameworks for vision and reinforcement learning, and

(3) BCIs and brain co-processors that utilize AI to interact with brain circuits to restore and augment human function.


Lab news


[Oct 2021] Congratulations to Dr. Sat Singh on passing his Ph.D. defense!!!

[Sep 2021] Congrats to Koosha on his paper titled Bayesian inference with incomplete knowledge explains perceptual confidence and its deviations from accuracy now published on Nature Communications!

[Sep 2021] Congrats to Steve on his new job as Research Scientist at Facebook Reality Lab!