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Stats for Neuroscientists
Stats for Neuroscientists
  • Syllabus
  • Schedule
  • Readings
  • Assignments
  • Classes
  • RStudio.cloud
Reading details
  • Reading policy
Readings
  • 1: Introduction to R/RStudio and Images
  • Week 2. Preprocessing and Filtering
  • Week 3. Image Thresholding
  • Week 4: Image Segmentation
  • Week 5: Image Segmentation using Voronoi Tessellation
  • Week 6: Experimental Design and Intro Stats Reading
  • Week 6: Point Estimates and Confidence Intervals
  • Week 7: Hypothesis Testing
  • Week 7: Point Pattern Analysis
  • Week 9: Exploring Features
  • Week 10: Dimensionality Reduction and Clustering
  • Week 11: Machine Learning

Week 8: Point Pattern Analysis

Read before class on Thursday, May 28, 2020

Required

  • Point Pattern Analysis
  • Hypothesis Testing
  • Point Pattern Analysis in R

Last updated on May 26, 2020

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NEUS 643: Stats for Neuroscientists (Spring 2020)
Oregon Health & Science University    Neuroscience Graduate Program

Dr. Ted Laderas    laderast@ohsu.edu

Tuesday/Thursday    1:00–2:00 PM
Online

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