9.073J 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.
9.073J will be offered this semester (Spring 2019). It is instructed by E. N. Brown.
This class counts for a total of 12 credits. This is a graduate-level class.
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