Statistics for Neuroscience (Neuroscience 9506b)

This coming winter term (Jan-Apr, 2009) I will be teaching my graduate seminar in the Graduate Program in Neuroscience, Statistics for Neuroscience (Neuroscience 9506b). The course webpage can be found [ here ].

I will be doing two things differently this time around. First, I will be maintaining a set of course notes every week. This is not meant to duplicate the material in the texts and assigned readings, but will enable me to highlight, in written form, what is most relevant for the topics we cover each week. It will also represent a record of what topics we cover. I will be using LaTeX to write the course notes. I did this for one of my other neuroscience graduate courses, Computational Neuroscience 1: Data Analysis, and it turned out to be a great idea.

Second, we will be using R to do all of our statistical computation in the course. In the past we used SPSS, and it was a real nuisance. It’s costly, buggy, and difficult to use. Graphics are horrible and the statistical workflow is awkward. R is a free, open-source implementation of the S-Plus language. It is an interpreter-based interactive programming environment, similar to Matlab, except that it includes tons of statistical smarts. It also generates great graphics.

Whether or not you are a student, postdoc, faculty member or other, I would be interested in hearing from you about the following:

  1. What software package(s) do you currently use for doing your statistics?
  2. What software package(s) do you use for generating Figures?

Please use the Comments feature of this blog to respond. After I receive a sufficient number of responses I will post a summary of the results.

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About Paul Gribble

Professor Dept. Psychology Dept. Physiology & Pharmacology The Brain and Mind Institute The University of Western Ontario London, Ontario Canada
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6 Responses to Statistics for Neuroscience (Neuroscience 9506b)

  1. Doogie Howser, M.D. says:

    I use Excel and SPSS

  2. L-Mel says:

    I use StatView and SuperAnova, from 1991, for the Mac. Old but awesome.

  3. Gavin says:

    I use SPSS for the stats and Sigmaplot for the figs.

  4. Dave Tang says:

    I know it’s been almost 5 years since you wrote this post, but I was wondering if you still have the course material for the Statistics for Neuroscience and the Computational Neuroscience courses and may I have a copy of them? The links in this post are dead.

    And I use R for my statistical analyses and for generating figures. I use the “base” graphics of R and sometimes ggplot2 and gplots.

  5. Paul Gribble says:

    sure thing. Here is the current homepage for the course:

    http://www.gribblelab.org/stats/index.html

    and here is the site from last year

    http://www.gribblelab.org/stats2013/index.html

  6. Dave Tang says:

    Thanks Paul! I made a clone of your neurostats repository on GitHub.

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