Review
Open access
Aug 2026
A Comprehensive Review of Sequence and Generative Models in Motor Imagery (MI) Classification for Brain–Computer Interfaces (BCIs)
This study performs an in-depth analysis on the strengths and limitations of traditional models such as RNNs and LSTMs as well as emergent models such as VAEs and transformers, which have demonstrated superior performance in extracting the intricate patterns of the EEG data with low latency.
Muhammad Ahmed Abbasi, Hafza Faiza Abbasi, Muhammad Arsalan et al.
· Italian National Conference... · 0 citations