NEUS 643: Stats for Neuroscientists

Course that applies statistics and machine learning using image processing.


Ted Laderas


April 1, 2020


This is a full quarter course that teaches the basics of image processing, statistics, and machine learning using Bioconductor. It consists of an workspace and online lectures.

Learning Objectives

  • Learn and execute the basic steps of image analysis in R/Bioconductor.
  • Assess whether image processing algorithms are working correctly.
  • Understand basic spatial statistics and how to assess null models of spatial data.
  • Execute and Interpret basic spatial statistics on data that are involved with fluoresence microscopy analysis.


BibTeX citation:
  author = {Ted Laderas and Ted Laderas},
  title = {NEUS 643: {Stats} for {Neuroscientists}},
  date = {2020-04-01},
  url = {},
  langid = {en}
For attribution, please cite this work as:
Ted Laderas, and Ted Laderas. 2020. “NEUS 643: Stats for Neuroscientists.” April 1, 2020.