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Update proposal_NeuroDyad1.md
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‎_gsocproposals/2025/proposal_NeuroDyad1.md

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@@ -26,8 +26,8 @@ Total project length: 175/350 hours.
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* Train the model on neurotypical and clinical dyads, analyzing how latent embeddings encode neural interactions.
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* Identify differentiating features (e.g., variance in manifold structure, neural synchrony, connectivity patterns) that may characterize clinical interactions.
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<!-- ## Test
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Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project. -->
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## Test
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Please use [this link](https://docs.google.com/document/d/e/2PACX-1vQtRi66DVeoI2tRxT7I6XNi0d_t1JJxDML0dIeUCDMcUqWaG6juTEg25mkQMAKtLyPGQCaq8OM0pz1J/pub) to access the test for this project.
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## Requirements
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MATLAB, Python; solid understanding of linear algebra, topology, signal processing. Interest in clinical neuroscience and computational methods.

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