TRANSIT-EEG-A Framework for Cross-Subject Classification With Subject Specific Adaptation

• Published in: IEEE transactions on cognitive and developmental systems Vol. 17; no. 4; pp. 923 - 937
• Main Authors: Ahuja, Chirag, Sethia, Divyashikha
• Format: Journal Article
• Language: English
• Published: IEEE 01.08.2025
• Subjects: Accuracy; Adaptation models; Analytical models; Brain modeling; Cross-subject transfer; Data augmentation; Data models; diffusion model; Electroencephalography; few-shot learning; graph neural network (GNN); Graph neural networks; LoRA; Pattern classification; Training; transfer learning

Electroencephalography (EEG) is pivotal in monitoring and analyzing cerebral activity across diverse domains, including medical diagnostics, cognitive neuroscience, and brain-computer interfaces. However, the inherent intricacy of EEG signals and their subject-specific characteristics pose formidabl...