9.073[J] Statistics for Neuroscience Research
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.
9.073[J] will not be offered this semester. It will be instructed by E. N. Brown.
This class counts for a total of 12 credits. This is a graduate-level class.
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