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  ## 📌 Model Summary
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- This model is part of the UnitRefine pipeline and is trained to classify single-unit activity (SUA) across multiple species: mice, mole-rats, monkeys, and humans. It uses supervised machine learning to distinguish well-isolated units from multi-unit activity (MUA) and noise.
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  The classifier is designed for **fast, automated unit curation**, and generalizes across **multiple recordings and brain regions**, achieving high accuracy even with limited training data.
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  ## 📌 Model Summary
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+ This model is part of the **UnitRefine** pipeline and is trained to classify **single-unit activity (SUA)** in across multiple species: **mice, mole-rats, monkeys, and humans**. It uses supervised machine learning to distinguish well-isolated units from multi-unit activity (MUA) and noise.
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  The classifier is designed for **fast, automated unit curation**, and generalizes across **multiple recordings and brain regions**, achieving high accuracy even with limited training data.
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