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HST 460
Statistics for Neuroscience Research

Term: Spring

Course Director(s): Emery N. Brown
Time:
TBD
Location:
TBD
Course Website:
None
Prerequisite:
Permission of instructor
Restrictions:
None
MIT Units:
3-0-9 (G-Level Credit)
Harvard Units:
Unknown
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.