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<title>Course on Practical Neuroimaging in Python — Practical neuroimaging analysis</title>
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<div class="section" id="day-12-smoothing-and-modeling">
<h1>Day 12: smoothing and modeling<a class="headerlink" href="#day-12-smoothing-and-modeling" title="Permalink to this headline">¶</a></h1>
<p>5 / 15 / 2015</p>
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<h2>Reading<a class="headerlink" href="#reading" title="Permalink to this headline">¶</a></h2>
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<li>Introduction to smoothing: <a class="reference external" href="http://perrin.dynevor.org/smoothing_intro.html">http://perrin.dynevor.org/smoothing_intro.html</a></li>
<li>Smoothing as convolution:
<a class="reference external" href="http://perrin.dynevor.org/smoothing_as_convolution.html">http://perrin.dynevor.org/smoothing_as_convolution.html</a></li>
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<h2>Day<a class="headerlink" href="#day" title="Permalink to this headline">¶</a></h2>
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<li>Saving data with nibabel;</li>
<li>Smoothing with <cite>scipy.ndimage</cite>;</li>
<li>Edge effects in smoothing;</li>
<li>Introduction to <a class="reference external" href="http://nipy.org/nipype">nipype</a>;</li>
<li>Scripting and extending an SPM analysis with nipype;</li>
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