9.073J -- Statistics for Neuroscience Research
Course Description: A survey of statistical methods for neuroscience research. Core topics include introductions to the theory of point processes, the generalized linear model, Monte Carlo methods, Bayesian methods, multivariate methods, time-series analysis, spectral analysis and state-space modeling. Emphasis on developing a firm conceptual understanding of the statistical paradigm and statistical methods primarily through analyses of actual experimental data. Alternate years.

This class is at the Graduate level
This course is also known as: HST.460J
Instructor: E. N. Brown
Prerequisites: 9.07 or permission of instructor

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