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

[Jun 2022] Congrats to Preston for winning the best poster award at the NeuroVision workshop at CVPR!!!

[Jun 2022] SEVEN abstracts submitted to SfN!!! Great job everyone!

[Jun 2022] Four papers accepted to CVPR NeuroVision workshop!!! Congrats, Team! Learn more about their work here.

[Jun 2022] CONGRATUATIONS to graduating seniors, Mozes Jacobs (CSE) and Timmy Pham (BioE)!!!

[May 2022] Two papers submitted to NeurIPS! Congrats, Ares and Dimi!

[Apr 2022] The AJILE 12 Dataset is now published in Scientific Data!

[Apr 2022] Ares has been elected as a UW Data Science Postdoctoral Fellow! Congrats, Ares!

[Apr 2022] Matt Bryan will be joining the Neural Systems Lab as a PhD student in Fall 2022! Welcome, Matt!

[Mar 2022] Congratulations to Sat on his new job as Research Scientist at Meta (Facebook Reality Lab)!

[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 in Nature Communications!

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