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

[Mar 2024] Congrats to Matt for winning an NDSEG fellowship!

[Feb 2024] Congrats to Ellie for passing her General Exam!

[Jan 2024] The lab is hosting a Transformers in Neuroscience seminar.

[Nov 2023] Congrats to Zoe for passing her General Exam!

[Sep 2023] Welcome to the lab, Matt Bryan!

[Jul 2023] Preston's CogSci award paper is covered by UW CSE News here

[May 2023] Congratulations to Timmy on passing his M.S. defense!!!

[May 2023] Congratulations to Preston for winning a Computational Modeling Prize in Perception/Action at CogSci 2023

[Apr 2023] Two papers accepted to CogSci 2023! Congrats, Dimi, Vishwas, and Preston! 

[Apr 2023] Congratulations to Ellie on her paper titled "In-Home Video and IMU Kinematics of Self Guided Tasks Correlate with Clinical Bradykinesia Scores" being accepted to IEEE NER 2023!