原文 Research Summary: 1) We develop mathematical (neural network) models of brain function and, in particular, statistical approaches for inferring these models directly from experimental observations (e.g., multi-cell recordings or neuroimaging data). 2) We develop and apply advanced statistical and machine learning algorithms for the analysis of high-dimensional time series data, such as simultaneous electrophysiological recordings from tens to hundreds of neurons, or functional magnetic resonance imaging (fMRI) data from human subjects.