Photo by Kirsty Pargeter at Vecteezy
Neural Systems Laboratory
The Neural Systems Laboratory aims to advance our understanding of the brain using computational models and simulations, and apply this knowledge to the task of building intelligent robotic systems and brain-computer interfaces (BCIs). The lab's work combines data and techniques from a variety of fields, ranging from neuroscience and psychology, to machine learning and statistics. Members are focused on understanding probabilistic information processing and learning in the brain; building biologically-inspired robots that can learn through experience and imitation; and developing interfaces for controlling computers and robots using brain- and muscle-related signals.
Systems Neuroscience and AI Laboratory (SNAIL)
The SNAIL group works at the intersection of machine learning, engineering and neuroscience. Research in the group develops computational models and algorithms for understanding how populations of neurons in the brain orchestrate movement, decision-making, and learning. Current projects focus on data-driven dynamical systems modeling, deep learning, and network modeling to answer specific questions about computation and communication in the brain. Group members embrace tight collaborations to leverage cutting-edge experimental platforms, including high-density electrophysiology, optical imaging, targeted neural stimulation, and brain-computer interfaces.
Center for Neurotechnology
The Center for Neurotechnology focuses on the development of innovative neural devices and methods for engineering neuroplasticity in the brain and spinal cord. The goal is to revolutionize the treatment of people living with spinal cord injury, stroke and other debilitating neurological conditions by engineering devices that restore lost or injured connections in parts of the nervous system to improve, assist, and restore sensory and motor function. The center also focuses on the discovery of fundamental neuroscience an engineering principles with broader implications for the treatment of neurological diseases such as Parkinson's and essential tremor.
UW Computational Neuroscience Center
The Computational Neuroscience Center at the University of Washington is a cross-campus hub for research in mathematical and computational neuroscience that links theoretical and experimental neuroscientists to advance our understanding of the principles of neural computation. The center's research spans the full spectrum of scales, mechanisms, and functions of the brain — from the cellular biophysics of computation, to brainwide models of neural processing and cognition, to next-generation brain/computer interfaces. The center also houses the organizing hub of the International Network on Biologically-Inspired Computing and the Swartz Center for Theoretical Neuroscience.