My research interest lies in understanding the principles and mechanisms of computations performed by the mammalian brain at the level of both individual neurons and neuronal circuits. Specifically, I am interested in building dynamical/mechanistic neuronal network models and developing theoretical methods to analyze the activity of large populations of neurons to study:
how patterns of neural activity are used to represent features of the sensory world;
how centrifugal feedback influences these patterns;
how these patterns generate motor behaviors;
at a higher level, how the neuronal circuits perform inference and represent uncertainty.
You can find more about me on my personal Webpage and Google Schalar. Feel free to reach out!
