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    <title>Portal on MayaLucIA</title>
    <link>https://mayalucia.dev/tags/portal/</link>
    <description>Recent content in Portal on MayaLucIA</description>
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      <title>MayaPortal: The Visual Synthesis Kernel</title>
      <link>https://mayalucia.dev/portal/</link>
      <pubDate>Sat, 28 Feb 2026 19:02:25 +0100</pubDate>
      <guid>https://mayalucia.dev/portal/</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;The eye sees only what the mind is prepared to comprehend.
— Robertson Davies&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2 id=&#34;mayaportal-within-mayalucia&#34;&gt;MayaPortal Within MayaLucIA&lt;/h2&gt;
&lt;p&gt;&lt;code&gt;MayaLucIA&lt;/code&gt; operates through an iterative cycle: &lt;strong&gt;Measure → Model → Manifest → Evaluate → Refine&lt;/strong&gt;. Each stage transforms understanding—from raw measurements, through scientific models, into perceptible forms that can be assessed and improved. &lt;code&gt;MayaPortal&lt;/code&gt; is the engine of the &lt;strong&gt;Manifest&lt;/strong&gt; stage: the viewport through which digital twins become observable.&lt;/p&gt;
&lt;p&gt;Where &lt;code&gt;MayaLucIA&lt;/code&gt; asks &amp;ldquo;how do we understand?&amp;rdquo;, &lt;code&gt;MayaPortal&lt;/code&gt; asks &amp;ldquo;how do we see?&amp;rdquo; The distinction matters. A reconstruction algorithm may produce a statistically faithful model of a mountain valley or a cortical circuit, but that model remains abstract—a collection of numbers in memory—until it is rendered into form. &lt;code&gt;MayaPortal&lt;/code&gt; performs this transformation: it takes the dense state produced by reconstruction and simulation, and projects it into visual (and eventually auditory) experience.&lt;/p&gt;</description>
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    <item>
      <title>Visualization Portal</title>
      <link>https://mayalucia.dev/domains/bravli/visualization/</link>
      <pubDate>Wed, 25 Feb 2026 12:00:00 +0100</pubDate>
      <guid>https://mayalucia.dev/domains/bravli/visualization/</guid>
      <description>&lt;p&gt;Where atlas, connectome, physiology, and simulation converge into an interactive exploration tool. The visualisation portal is the feedback loop that closes the scientific cycle: build a model, render it, inspect it, find the gaps, refine.&lt;/p&gt;
&lt;h2 id=&#34;lesson-04--visualization&#34;&gt;Lesson 04 &amp;mdash; Visualization&lt;/h2&gt;
&lt;p&gt;3D rendering and interactive exploration with &lt;code&gt;navis&lt;/code&gt; and &lt;code&gt;plotly&lt;/code&gt;:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Neuron point clouds&lt;/strong&gt; &amp;mdash; scatter plots of cell body positions, coloured by type&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Connection matrices&lt;/strong&gt; &amp;mdash; heatmaps of neuropil-to-neuropil connectivity&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;3D neuropil meshes&lt;/strong&gt; &amp;mdash; surface renderings of the 78 brain regions&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Interactive HTML exports&lt;/strong&gt; &amp;mdash; explorable in any browser&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;lesson-12--the-digital-twin-portal&#34;&gt;Lesson 12 &amp;mdash; The Digital Twin Portal&lt;/h2&gt;
&lt;p&gt;The portal philosophy: a model&amp;rsquo;s limitations are as informative as its successes. The portal exposes:&lt;/p&gt;</description>
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