research product . Lecture . Under curation

naturalistic-data-analysis/naturalistic_data_analysis: Version 1.0

Luke Chang; Jeremy Manning; Christopher Baldassano; Alejandro de la Vega; Gordon Fleetwood; Linda Geerligs; James Haxby; Juha Lahnakoski; Carolyn Parkinson; Heather Shappell; ...
Open Access English
  • Publisher: Zenodo
Abstract
<p>Version 1.0 of the Naturalistic-Data.org educational course. Naturalistic-Data.org is an open access online educational resource that provides an introduction to analyzing naturalistic functional neuroimaging datasets using Python. Naturalistic-Data.org is built using Jupyter-Book and provides interactive tutorials for introducing advanced analytic techniques . This includes functional alignment, inter-subject correlations, inter-subject representational similarity analysis, inter-subject functional connectivity, event segmentation, natural language processing, hidden semi-markov models, automated annotation extraction, and visualizing high dimensional data. ...
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