EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

Documenti analoghi

• Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models
  di: Chen, Mingzhi, et al.
  Pubblicazione: (2024)
• GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding
  di: Chen, Yiqiao, et al.
  Pubblicazione: (2025)
• BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
  di: Zhou, Xinliang, et al.
  Pubblicazione: (2024)
• Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
  di: Peng, Ruimin, et al.
  Pubblicazione: (2024)
• Handwriting Imagery EEG Classification based on Convolutional Neural Networks
  di: Yang, Hao, et al.
  Pubblicazione: (2025)