I want to learn more about..
Active Research Projects
Neural network modeling of visual perception and cognition
Recent advances in neural network modeling have enabled major strides in computer vision and other artificial intelligence applications. Artificial neural networks are inspired by the brain, and their computations could be implemented in biological neurons. We seek to develop neural network models that can meet real-world computational challenges faced by biological visual systems and that can also explain detailed patterns of brain and behavioral responses.
Development of statistical inference and visualization methods
Computational neuroscience is entering a new era, where big models meet big data. We develop statistical inference and visualization techniques that help us connect theory and experiment, enabling us, for example, to adjudicate among many candidate neural network models using brain-activity measurements acquired with functional imaging and electrophysiological recordings in animals and humans.
News
New Grant from NIH Brain Initiative
The lab received a new grant from the NIH/NIDA BRAIN Initiative, "Representational geometry: evaluating brain-computational models with neural activity data" in collaboration with the Wei Lab at the University of Texas
Announcing Our New YouTube Channel!
We’re excited to share that our lab has launched an official YouTube channel! This new platform will feature talks, tutorials, behind-the-scenes looks at our research, and highlights from our events. Our goal is to make our science more accessible and provide a space to share ideas with a broader community.
Check out our first videos and subscribe to stay updated as we continue to add new content.
Welcome Boran and Kedar
This semester, we are delighted to welcome two new graduate students to the lab: Boran Wang from the Psychology Department and Kedar Garzón from the Neurobiology and Behavior Department. We’re excited for the expertise, energy, and fresh perspectives they will bring to our research!