A methodological framework for BCIs that separates speed and accuracy with Gain and Conservation measures combined into an alpha-controlled balance for tunable operating points.
Functional Brain Network Disruptions in Parkinson’s Disease: Insights from Information Theory and Machine Learning
2 Pith papers cite this work. Polarity classification is still indexing.
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A Methodological Framework for Explicit Control of the Speed-Accuracy Trade-off in Brain-Computer Interfaces
A methodological framework for BCIs that separates speed and accuracy with Gain and Conservation measures combined into an alpha-controlled balance for tunable operating points.
- Interpretable Electrophysiological Features of Resting-State EEG Capture Cortical Network Dynamics in Parkinsons Disease