Naturalistic Data Analysis
Course Overview
Course Organizers
Contributors
Getting Started
Download Data
Software Installation
Naturalistic Data Preprocessing
Recommended reading
Analysis Tutorials
Functional Alignment
Intersubject Correlation
Inter-subject Representational Similarity Analysis
Event segmentation
Natural Language Processing
Dynamic Connectivity
Hidden Semi-Markov Models
Automated Annotations
Visualizing High Dimensional Data
Background Resources
Introduction to Python
Introduction to Pandas
Introduction to Plotting
Introduction to Neuroimaging Data
Dartbrains Neuroimaging Analysis Course
Glossary
Contributing Tutorials
Contributing
GitHub Repository
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Contents
Chris Baldassano
Columbia University
Luke Chang
Dartmouth College
Alejandro de la Vega
University of Texas Austin
Emily Finn
Dartmouth College
Gordon Fleetwood
New Classrooms
Linda Geerligs
Donders Institute for Brain, Cognition, and Behavior
James Haxby
Dartmouth College
Juha Lahnakoski
Forschungszentrum Jülich
Jeremy Manning
Dartmouth College
Carolyn Parkinson
University of California Los Angeles
Heather Shappell
Johns Hopkins University
Won mok Shim
SungKyunKwan University
Tor Wager
Dartmouth College
Tal Yarkoni
University of Texas at Austin
Yaara Yeshurun
Tel-Aviv University
Contributors
¶
Chris Baldassano
¶
Columbia University
¶
¶
Luke Chang
¶
Dartmouth College
¶
¶
Alejandro de la Vega
¶
University of Texas Austin
¶
¶
Emily Finn
¶
Dartmouth College
¶
¶
Gordon Fleetwood
¶
New Classrooms
¶
¶
Linda Geerligs
¶
Donders Institute for Brain, Cognition, and Behavior
¶
¶
James Haxby
¶
Dartmouth College
¶
¶
Juha Lahnakoski
¶
Forschungszentrum Jülich
¶
¶
Jeremy Manning
¶
Dartmouth College
¶
¶
Carolyn Parkinson
¶
University of California Los Angeles
¶
¶
Heather Shappell
¶
Johns Hopkins University
¶
¶
Won mok Shim
¶
SungKyunKwan University
¶
¶
Tor Wager
¶
Dartmouth College
¶
¶
Tal Yarkoni
¶
University of Texas at Austin
¶
¶
Yaara Yeshurun
¶
Tel-Aviv University
¶
¶
Course Organizers
Download Data