Speaker:
SueYeon Chung
Our research strategy spans a variety of topics in theoretical neuroscience and theory of neural computation, ranging from neural population geometry to modern deep network theory. Our lab is currently focused on developing mathematical theories of neural population geometry and their applications to phenomena in neuroscience, and building neural networks and circuit models of brain functions. To do this, we use principles and methods in statistical physics, applied math, and machine learning. Our lab's work is jointly supported by the Center for Computational Neuroscience at the Flatiron Institute, an internal research division of the Simons Foundation.
Computational and Theoretical Neuroscience