Update README.md

README.md

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   <h1 class="section-title">PhillNet 1: The Soul of a Living Neural Cosmos</h1>
 
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-    <h2 class="section-title">🧠 Brain Module (from <code>neuro_fusion.py</code>)</h2>
+    <h2 class="section-title">🧠 Brain Module (from <code>NeuroFusion</code>)</h2>
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       <p>
         At its core lies the <strong>Brain</strong> – an embodied cognitive system that unifies multiple memory types, a VAE compressor, a Mixture-of-Experts (MoE) layer, and an iterative GRU-based dreamstate. It’s not just a model—it’s a <em>memory-centric mind</em>.
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   </div>
 
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-    <h2 class="section-title">🧬 ConceptModel (from <code>ConceptModel.py</code>)</h2>
+    <h2 class="section-title">🧬 ConceptModel (from <code>ConceptModel</code>)</h2>
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       <p>
         This module models ideas over time through embedding-driven sequence learning. Its encoder-decoder core—built with residual GELU blocks and layer normalization—processes inputs in contextual chunks, much like a moving mental window predicting the next semantic idea.
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   </div>
 
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-    <h2 class="section-title">🌱 InnovativeGrowthNet (from <code>innovative_growth_net.py</code>)</h2>
+    <h2 class="section-title">🌱 InnovativeGrowthNet (from <code>InnovativeGrowthNet</code>)</h2>
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       <p>
         This is where PhillNet 1 truly evolves. The Innovative Growth Network adapts its architecture in real-time:
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-    <h2 class="section-title">🔁 Dynamic Neural Network (from <code>dynamic_neural_network_blended_skill_talk.py</code>)</h2>
+    <h2 class="section-title">🔁 Dynamic Neural Network (from <code>Phillnet</code>)</h2>
     <div class="section-content">
       <p>
         This is the operational engine—the main body of PhillNet 1—that elegantly loops all components together: