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Workshop date: January 12–16, 2020

Course instructor: Kendrick Kay (University of Minnesota, kay@umn.edu)
Teaching assistants: Emily Allen (University of Minnesota, prac0010@umn.edu), Nate Miller (NYUAD, nm112@nyu.edu)
Course organizer: Bas Rokers (NYUAD, rokers@nyu.edu)

Lecture 1: Overview of the workshop and logistics
slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 2: Introduction to NSD slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 3: fMRI basics slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 4: Analysis approaches, part one (subtraction, MVPA, RSA)
(sound cuts out at 1:33)
slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 5: Analysis approaches, part two (encoding models, pRF, decoding) slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 6: Analysis approaches, part three (functional connectivity) slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 7: Statistical and analysis issues
(sound cuts out between 0:47 - 1:02)
slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 8: Big data issues slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 9: Coding issues slides (.pdf) | slides (.pptx) | video recording (YouTube)
Lecture 10: Introduction to Diffusion MRI [by Bas Rokers]
slides (.pdf) | slides (.pptx) | video recording (YouTube)

The example scripts are available at http://github.com/kendrickkay/nsdexamples/, and the diffusion analysis pipeline is also available.