9.073[J] 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.

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.

In the Spring 2015 Subject Evaluations, 9.073[J] was rated 5.7 out of 7.0. You can find more information at the Statistics at MIT - Classes site.

MIT 9.073[J] Statistics for Neuroscience Research Related Textbooks
MIT 9.073[J] Statistics for Neuroscience Research On The Web

© Copyright 2015