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<!DOCTYPE HTML>
<!--
Read Only by HTML5 UP <--- Ryan thinks they're awesome
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
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<html>
<head>
<title>Ryan M Stolier, PhD</title>
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<h2>Ryan M Stolier, PhD</h2>
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<b>Visit my personal website <a href="https://www.ryanmstolier.com">here</a>.
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<h3>Research Tools</h3>
<h4>Face Stimulus & Tool Collection</h4>
The<a href="./FSTC.html"> Face Stimulus & Tool Collection</a> is a concise, regularly updated, and curated list of face stimulus databases and editing tools (e.g., morphing).
<br><br>
<h4>PyMVPAw</h4>
<a href="https://github.com/rystoli/PyMVPAw">PyMVPAw</a> is a wrapper for <a href="http://www.pymvpa.org/">PyMVPA</a>, a Python package for multi-variate pattern analyses of neuroimaging data. In PyMVPAw, many of PyMVPA's pattern analysis tools are available in single function commands. As well, PyMVPAw includes many additional tools and analyses (further detailed in its github home, <a href="https://github.com/rystoli/PyMVPAw/wiki">wiki</a>, and <a href="https://nbviewer.jupyter.org/github/rystoli/PyMVPAw/blob/master/tutorials/PyMVPAw_tutorial.ipynb">Jupyter notebook tutorials</a>).
<br><br><b>To learn more and/or install</b>, visit the <a href="https://github.com/rystoli/PyMVPAw#pymvpaw">PyMVPAw github home</a>.
<br><br>
<h4>afniGLMprep</h4>
<a href="https://github.com/rystoli/afniGLMprep">afniGLMprep</a> is a Python package which prepares and runs GLMs on neuroimaging data stored in the <a href="http://bids.neuroimaging.io/">BIDS format</a>. In a single line of code, afniGLMprep creates stimulus timeseries and GLM scripts.
<br><br><b>To learn more and/or install</b>, visit the <a href="https://github.com/rystoli/afniGLMprep#afniglmprep">afniGLMprep github home</a>.
<br><br>
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