Statistical Analysis of Neural Data

We develop statistical models and open-source computational tools to extract insights from neural data. We are particularly interested in characterizing flexibility and variability in neural circuits—e.g., how do the dynamics of large neural ensembles change over the course of learning a new skill, during periods of high attention or task engagement, or during development and aging.

Summarizing these processes even on a descriptive level is a difficult and unsolved challenge in need of new analysis tools.

Laboratory for Neural Statistics website

Group Leader

Advancing Research in Basic Science and MathematicsSubscribe to Flatiron Institute announcements and other foundation updates