Neural Data Analysis

Participants develop statistical and computational approaches to neural datasets from electrode arrays and optical recordings. The course addresses preprocessing, sampling biases, estimation, hypothesis tests and data handling in MATLAB and Python, connecting practical analysis with conceptual foundations. This is an intensive residential programme; selection and tuition terms are set by the organizer.