Update documentation

Author: GiacomoGlotzer

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@@ -1123,14 +1123,18 @@ <h3>Querying Adjacency <em>within</em> the Central Complex<a class="headerlink"
 <span class="n">ax</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">([</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="bp">cls</span><span class="si">}</span><span class="s2"> (n=</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">class_groups</span><span class="p">[</span><span class="bp">cls</span><span class="p">])</span><span class="si">}</span><span class="s2">)&quot;</span> <span class="k">for</span> <span class="bp">cls</span> <span class="ow">in</span> <span class="n">sorted_classes</span><span class="p">],</span> 
                    <span class="n">rotation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
 
+<span class="c1"># Rows are pre-synaptic neurons, columns are post-synaptic neurons. Add x and y labels </span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;Post-synaptic&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;Pre-synaptic&#39;</span><span class="p">)</span>
+
 <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Central Complex Connectivity Matrix&#39;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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 <p>It’s clear from the heatmap that PBt and EBc populations are connected. Let’s isolate all of the EBc and PBt neurons and visualize them in the brain mesh.</p>