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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
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<title>Course on Practical Neuroimaging in Python — Practical neuroimaging analysis</title>
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<div class="section" id="uc-berkeley-course-on-practical-neuroimaging-analysis">
<h1>UC Berkeley course on practical neuroimaging analysis<a class="headerlink" href="#uc-berkeley-course-on-practical-neuroimaging-analysis" title="Permalink to this headline">¶</a></h1>
<p>These are the web pages for the course on practical neuroimaging
analysis at UC Berkeley <a class="reference external" href="http://bic.berkeley.edu/">brain imaging center</a> (BIC).</p>
<p>The pages are for the 2015 course.</p>
<p>You can find more recent versions of a lot of the material on the website for
the 2016 <a class="reference external" href="https://bic-berkeley.github.io/psych-214-fall-2016/">PSYCH214 course on functional MRI methods</a>.</p>
<p>Pages from the previous (2013) course are <a class="reference internal" href="2013/index.html"><span class="doc">here</span></a>.</p>
<p>Course news and announcements go to the <a class="reference external" href="https://calmail.berkeley.edu/manage/list/listinfo/practical_fmri@lists.berkeley.edu">mailing list</a></p>
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<li class="toctree-l2"><a class="reference internal" href="where_and_when.html#where">Where?</a></li>
<li class="toctree-l2"><a class="reference internal" href="where_and_when.html#when">When?</a></li>
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<li class="toctree-l1"><a class="reference internal" href="reading.html">General reading for the class</a><ul>
<li class="toctree-l2"><a class="reference internal" href="reading.html#python">Python</a></li>
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<li class="toctree-l1"><a class="reference internal" href="example_data.html">Example datasets</a><ul>
<li class="toctree-l2"><a class="reference internal" href="example_data.html#dataset-ds114">Dataset ds114</a></li>
<li class="toctree-l2"><a class="reference internal" href="example_data.html#dataset-ds107">Dataset ds107</a></li>
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<li class="toctree-l1"><a class="reference internal" href="schedule.html">Schedule</a><ul>
<li class="toctree-l2"><a class="reference internal" href="day0.html">Day 0 : introduction: what is an image?</a></li>
<li class="toctree-l2"><a class="reference internal" href="day1.html">Day 1 : introducing Python</a></li>
<li class="toctree-l2"><a class="reference internal" href="day2.html">Day 2: images as arrays and plotting</a></li>
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<li class="toctree-l2"><a class="reference internal" href="day5.html">Day 5: convolution and correlation</a></li>
<li class="toctree-l2"><a class="reference internal" href="day6.html">Day 6: regression and the general linear model</a></li>
<li class="toctree-l2"><a class="reference internal" href="day7.html">Day 7: diagnostics using principal component analysis</a></li>
<li class="toctree-l2"><a class="reference internal" href="day8.html">Day 8: 1D interpolation and slice timing</a></li>
<li class="toctree-l2"><a class="reference internal" href="day9.html">Day 9: optimization, 2D interpolation and registration</a></li>
<li class="toctree-l2"><a class="reference internal" href="day10.html">Day 10: coordinate systems and cross-modality registration</a></li>
<li class="toctree-l2"><a class="reference internal" href="day11.html">Day 11: registration between subjects</a></li>
<li class="toctree-l2"><a class="reference internal" href="day12.html">Day 12: smoothing and modeling</a></li>
<li class="toctree-l2"><a class="reference internal" href="day13.html">Day 13: testing hypotheses with t and F contrasts</a></li>
<li class="toctree-l2"><a class="reference internal" href="day14.html">Day 14: random effects, choosing models</a></li>
<li class="toctree-l2"><a class="reference internal" href="day15.html">Day 15: statistical inference</a></li>
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