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resources.html
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<!DOCTYPE HTML>
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<h1>Resources</h1>
<p>Some curated tables of different types of resources (code, repos, tutorials, videos, etc.) that are publicly-available and helpful to the cognitive neuroscience community. The items listed below are non-exhaustive and in no particular order.
<h3>Want to contribute to our list of resources?</h3> Anyone is welcome to <a href="https://github.com/gu-methods-lab/gu-methods-lab.github.io/issues/13" target="blank">add them to this thread</a> or <a href="https://github.com/gu-methods-lab/gu-methods-lab.github.io/pulls" target="blank">submit a pull-request!</a></p>
<h2>Neuroimaging</h2>
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<h3>Coursera: Principles of fMRI 1</h3>
<h5>by Martin Lindquist & Tor Wager</h5>
<p>This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.<br><br><a href="https://www.coursera.org/learn/functional-mri" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
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<h3>Coursera: Principles of fMRI 2</h3>
<h5>by Martin Lindquist & Tor Wager</h5>
<p>This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of part 1.<br><br><a href="https://www.coursera.org/learn/functional-mri-2" target="_blank"class="primary button">Materials</a></p>
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<h3>Neuromatch Academy</h3>
<h5></h5>
<p><middle>An online course designed to introduce traditional and emerging computational neuroscience tools to trainees with hands-on tutorials. <a href="https://github.com/NeuromatchAcademy/course-content" target="_blank">See syllabus here.</a><br><br><a href="https://github.com/NeuromatchAcademy/course-content/tree/master/tutorials" target="_blank"class="primary button">Tutorials</a></p>
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<h3>MIND Computational Summer School</h3>
<h5></h5>
<p><middle>A YouTube video playlist of previous lectures and tutorials held during the Methods in Neuroscience at Dartmouth (MIND) Computational Summer School<br><br><a href="https://www.youtube.com/channel/UCFiU9ZsUybQPq14MgvZJZSQ/videos" target="_blank"class="primary button">Materials</a></p>
</section>
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<h3>Neurohackademy</h3>
<p><middle>An online repository of lectures and tutorials on neuroimaging and electrophysiology from previous years of Neurohackademy summer school.<br><br><a href="https://neurohackademy.org/course_type/lectures/" target="_blank"class="primary button">Materials</a></p>
</section>
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<h3>OHBM OnDemand</h3>
<p><middle>Online repository of lectures and workshops from previous years of the Organization for Human Brain Mapping conference.<br><br><a href="https://www.pathlms.com/ohbm/courses" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-code"></span>
<h3>Intro to Nilearn</h3>
<h5>by Lukas Snoek</h5>
<p>This Jupyter Notebook introduces the nilearn Python package for applying statistical techniques (from GLMs to multivariate "decoding") to neuroimaging data and more.<br><br><a href="https://nbviewer.jupyter.org/github/lukassnoek/nilearn-tutorial/blob/master/nilearn.ipynb" target="_blank" class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-code"></span>
<h3>BrainIAK Tutorials</h3>
<h5>by Manoj Kumar et al.</h5>
<p><middle>These tutorials provide an overview of basic and advanced techniques for analyzing neuroimaging data using the Brain Imaging Analysis Kit (BrainIAK) toolbox in Python<br><br><a href="https://brainiak.org/tutorials/" target="_blank"class="primary button">Materials</a></middle></p>
</section>
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<span class="icon major fa-play-circle"></span>
<h3>Andy's Brain Blog</h3>
<h5>by Andrew Jahn</h5>
<p><middle>A series of YouTube video tutorials on preprocessing and statistical analyses in major neuroimaging software packages.<br><br><a href="https://www.youtube.com/user/Shala5ha5ka" target="_blank"class="primary button">Materials</a></middle></p>
</section>
<section>
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<h3>Mumford Brain Stats</h3>
<h5>by Jeanette Mumford</h5>
<p><middle>A series of YouTube video tutorials and lessons about different neuroimaging data analysis strategies.<br><br><a href="https://www.youtube.com/c/mumfordbrainstats/videos" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-book"></span>
<h3>DartBrains</h3>
<h5>by Luke J. Chang</h5>
<p><middle>An interactive Jupyter Book providing an introduction to human functional magnetic resonance imaging (fMRI) using Python.<br><br><a href="https://dartbrains.org/intro.html" target="_blank"class="primary button">Materials</a></middle></p>
</section>
<section>
<span class="icon major fa-list-alt"></span>
<h3>Hitchhacker's guide to the brain!</h3>
<h5>by Remi Gau et al.</h5>
<p><middle>This website is full of links and resources for all your neuro-needs!<br><br><a href="https://learn-neuroimaging.github.io/tutorials-and-resources/" target="_blank"class="primary button">Materials</a></p>
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<h2>Miscellaneous hacking</h2>
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<h3>Statistical Thinking for the 21st Century</h3>
<h5>by Russell A. Poldrack</h5>
<p>An open-source online book complete with R and Python code focused on approaches that take advantage of today’s increased computing power to solve statistical problems in ways that go far beyond the more standard methods usually taught in undergraduate statistics. <br><br><a href="https://github.com/Joscelinrocha/Learning-R-resources/wiki" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-code"></span>
<h3>Whirlwind Tour of Python</h3>
<h5>by Jake Vanderplas</h5>
<p>A fast-paced introduction to essential components of the Python language for researchers and developers who are already familiar with programming in another language.<br><br><a href="https://github.com/jakevdp/WhirlwindTourOfPython" target="_blank" class="primary button">Materials</a></p>
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<section>
<span class="icon major fa-list-alt"></span>
<h3>What is a hackathon?</h3>
<h5>by Shawn Rhoads</h5>
<p>A brief primer on hackathons and what to expect at your first hackathon.<br><br><a href="https://www.apa.org/science/about/psa/2020/03/hackathon" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-list-alt"></span>
<h3>Learning R Resources</h3>
<h5>by Joscelin Rocha Hidalgo</h5>
<p>This GitHub Wiki page containing resources to learn/teach R, statistics, and more!<br><br><a href="https://github.com/Joscelinrocha/Learning-R-resources/wiki" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-bar-chart"></span>
<h3>From Data to Viz</h3>
<h5>by Yan Holtz & Conor Healy</h5>
<p>A classification of chart types based on input data format. It comes in the form of a decision tree leading to a set of potentially appropriate visualizations to represent your dataset.<br><br><a href="https://www.data-to-viz.com/#explore" target="_blank" class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-calculator"></span>
<h3>Essence of Linear Algebra</h3>
<h5>by Grant Sanderson</h5>
<p>A crash-course series of 15 short YouTube videos on the basics of linear algebra.<br><br><a href="https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab" target="_blank" class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-list-alt"></span>
<h3>Git (and GitHub) Cheat Sheet</h3>
<h5>by Olivia Guest</h5>
<p>Quick reference, basic introduction to some of the basics of version control (git: a system to track your code) and a website providing such services (GitHub).<br><br><a href="https://neuroplausible.com/github" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-play-circle"></span>
<h3>Version Control with Git</h3>
<h5>by Richard Kalehoff</h5>
<p>Free online course covering the essentials of using the version control system Git. You'll be able to create a new Git repo, commit changes, and review the commit history of an existing repo.<br><br><a href="https://www.udacity.com/course/version-control-with-git--ud123" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-list-alt"></span>
<h3>Resources to learn Git</h3>
<h5>try.github.io</h5>
<p>Compiled resources (e.g., cheat sheets, tutorials, reading materials) to learn Git and GitHub.<br><br><a href="https://try.github.io/" target="_blank"class="primary button">Materials</a></p>
</section>
<section>
<span class="icon major fa-book"></span>
<h3>Pro Git 2nd Edition</h3>
<h5>by Scott Chacon & Ben Straub</h5>
<p>This online free book covers Version Control Systems (VCSs) and Git basics.<br><br><a href="https://git-scm.com/book/en/v2" target="_blank"class="primary button">Materials</a></p>
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<h2>Teaching</h2>
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<h3>Apprenticeship in Teaching Program</h3>
<h5>Georgetown Center for New Designs in Learning & Scholarship</h5>
<p>The Apprenticeship in Teaching (AT) Program is designed to help graduate students and other developing teachers become more reflective and skilled instructors, informed by the research on teaching and learning in higher education, and familiar with pedagogical best practices.<br><br><a href="https://cndls.georgetown.edu/atprogram/" target="_blank"class="primary button">Materials</a></p>
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