Neural theory - Advanced neural and behavioral data analysis-Development of rigorously grounded data-driven methods

My research is spanned by three partially-overlapping dimensions:

• Neural theory to understand how the circuitry and learning rules of motor regions generate behavior.
• Advanced neural and behavioral data analysis in close collaboration with  experimentalists.
• Development of rigorously grounded data-driven methods to identify latent structure in high-dimensional data. 

I use a variety of quantitative tools from traditional methods in dynamical systems to more recent tools in machine learning.