RLEEGNet: Integrating Brain-Computer Interfaces with Adaptive AI for Intuitive Responsiveness and High-Accuracy Motor Imagery Classification

Documenti analoghi

• Dual-Timescale Hebbian Accumulators for Online Spiking Neural Network Decoding in Intracortical Brain Machine Interfaces
  di: Nallani, Sriram V. C., et al.
  Pubblicazione: (2025)
• On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface
  di: Bian, Sizhen, et al.
  Pubblicazione: (2024)
• Functional Connectivity-Guided Band Selection for Motor Imagery Brain-Computer Interfaces
  di: Carmo, Natália Araújo do, et al.
  Pubblicazione: (2026)
• A Spatial-Spectral and Temporal Dual Prototype Network for Motor Imagery Brain-Computer Interface
  di: Han, Can, et al.
  Pubblicazione: (2024)
• Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
  di: An, Sion, et al.
  Pubblicazione: (2024)