BCI Competition IV 2a

The 'BCI Competition IV 2a' dataset is a benchmark that contains EEG data used to evaluate methods for brain-computer interface (BCI) applications, specifically focusing on the classification of motor imagery tasks.

Papers using BCI Competition IV 2a (1)

Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models2024