High-fidelity synthetic EEG and physiological data can be generated using statistical methods leveraging correlation structure and randomized sampling paired with machine learning validation to preserve real-data characteristics and maintain signal integrity
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The prototype is now fully interactive and accessible via mouse, touch, or keyboard
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Substrate revelation is a door, not a wall
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Synthetic data approach reduces costs, enhances privacy, and accelerates ML model training