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Nicolaus Copernicus University
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Naive Bayes outperformed deep learning models in classifying deep sleep stages, revealing the potential of criticality features in EEG for neurofeedback applications.
Cognitive decline can be predicted non-invasively through sleep EEG dynamics, revealing critical shifts in brain activity before clinical symptoms appear.