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ComputationalPsychiatry · Sep 27, 2023 · 7601c93 · 7601c93
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diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle
diff --git a/.doctrees/generated/pyhgf.math/pyhgf.math.gaussian_surprise.doctree b/.doctrees/generated/pyhgf.math/pyhgf.math.gaussian_surprise.doctree
diff --git a/.doctrees/notebooks/0-Creating_networks.doctree b/.doctrees/notebooks/0-Creating_networks.doctree
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diff --git a/.doctrees/notebooks/1.2-Categorical_HGF.doctree b/.doctrees/notebooks/1.2-Categorical_HGF.doctree
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diff --git a/_modules/pyhgf/math.html b/_modules/pyhgf/math.html
@@ -520,7 +520,7 @@ <h1>Source code for pyhgf.math</h1><div class="highlight"><pre>
 
 <span class="sd">    .. math::</span>
 
-<span class="sd">       \frac{1}{2} \log(2 \pi) - \log(\hat{\pi}) + \hat{\pi}\sqrt{x - \hat{\mu}}</span>
+<span class="sd">       \frac{1}{2} (\log(2 \pi) - \log(\hat{\pi}) + \hat{\pi}(x - \hat{\mu})^2)</span>
 
 <span class="sd">    where :math:`\pi` is the mathematical constant.</span>
 

diff --git a/generated/pyhgf.math/pyhgf.math.gaussian_surprise.html b/generated/pyhgf.math/pyhgf.math.gaussian_surprise.html
@@ -536,7 +536,7 @@ <h1>pyhgf.math.gaussian_surprise<a class="headerlink" href="#pyhgf-math-gaussian
 with expected mean <span class="math notranslate nohighlight">\(\hat{\mu}\)</span> and expected precision <span class="math notranslate nohighlight">\(\hat{\pi}\)</span> is
 given by:</p>
 <div class="math notranslate nohighlight">
-\[\frac{1}{2} \log(2 \pi) - \log(\hat{\pi}) + \hat{\pi}\sqrt{x - \hat{\mu}}\]</div>
+\[\frac{1}{2} (\log(2 \pi) - \log(\hat{\pi}) + \hat{\pi}(x - \hat{\mu})^2)\]</div>
 <p>where <span class="math notranslate nohighlight">\(\pi\)</span> is the mathematical constant.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>