pillow lab @ princeton

The Pillow lab is a computational neuroscience and statistical machine learning group at Princeton University. We develop statistical methods for studying neural systems and behavior.

Research

Our research focuses on statistical models and methods for characterizing neural population responses and extracting structure from high-dimensional neural data. We collaborate closely with experimental groups to study how neural populations encode, decode, and process information in different brain areas. We also study perception, decision-making, learning, and behavior, and the theoretical principles governing the design of neural systems.

Current research topics include:

• - perceptual decision making
• - neural encoding models
• - latent variable models for neural and behavioral data
• - active learning / closed-loop experimental design
• - dynamical systems and control theory
• - Bayesian optimization

See our lab blog for more information about our latest activities.

News