<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>María P. Tirado | Applied Computational Neuroscience UGR</title>
    <link>http://localhost:43789/author/maria-p.-tirado/</link>
      <atom:link href="http://localhost:43789/author/maria-p.-tirado/index.xml" rel="self" type="application/rss+xml" />
    <description>María P. Tirado</description>
    <generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 25 Nov 2025 00:00:00 +0000</lastBuildDate>
    <image>
      <url>http://localhost:43789/author/maria-p.-tirado/avatar_hu_28a49f85b3cc0947.jpg</url>
      <title>María P. Tirado</title>
      <link>http://localhost:43789/author/maria-p.-tirado/</link>
    </image>
    
    <item>
      <title>A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding</title>
      <link>http://localhost:43789/publication/tirado2025/</link>
      <pubDate>Tue, 25 Nov 2025 00:00:00 +0000</pubDate>
      <guid>http://localhost:43789/publication/tirado2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>María P. Tirado</title>
      <link>http://localhost:43789/author/maria-p.-tirado/</link>
      <pubDate>Tue, 25 Nov 2025 00:00:00 +0000</pubDate>
      <guid>http://localhost:43789/author/maria-p.-tirado/</guid>
      <description></description>
    </item>
    
    <item>
      <title>New paper in Scientific Reports: A computational model of the cerebellar granular layer</title>
      <link>http://localhost:43789/post/25-11-25-cerebellar-granular-layer-model/</link>
      <pubDate>Tue, 25 Nov 2025 00:00:00 +0000</pubDate>
      <guid>http://localhost:43789/post/25-11-25-cerebellar-granular-layer-model/</guid>
      <description>&lt;p&gt;New publication from our group out in &lt;strong&gt;Scientific Reports&lt;/strong&gt; (Nature Portfolio).&lt;/p&gt;
&lt;p&gt;María P. Tirado, Eva M. Ortigosa, Eduardo Ros, and Jesús A. Garrido present a biologically realistic computational model of the cerebellar granular layer calibrated to experimental data. The model explores the functional impact of synaptic inhibition mediated by Golgi cells and replicates key findings from recent in vivo experiments. The study reveals that moderate inhibition levels optimise pattern separation performance, with feedforward and feedback inhibitory circuits exerting distinct effects on coding expansion and decorrelation.&lt;/p&gt;
&lt;p&gt;You can find the full paper in our &lt;a href=&#34;http://localhost:43789/publication/tirado2025&#34;&gt;publications section&lt;/a&gt;. Congratulations to all involved!&lt;/p&gt;</description>
    </item>
    
  </channel>
</rss>
