HST.460J Statistics for Neuroscience Research


Class Info

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.

This class has no prerequisites.

HST.460J will not be offered this semester. It will be available in the Spring semester, and will be instructed by E. N. Brown.

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the HST 460 site.

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HST 460

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