Abstract: Developing computationally efficient models for EEG-based emotion recognition is essential for enabling scalable and responsive brain-computer interface (BCI) systems. However, the inherent ...

Summary: New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia with high accuracy. By analyzing both the timing and frequency of ...

Abstract: Electroencephalogram (EEG) data contain rich neurophysiological information that can objectively express the emotional state of human beings. However, the inherent EEG characteristics such ...

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