MPnnet: a Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces

• Published in: 2021 International Joint Conference on Neural Networks (IJCNN) pp. 1 - 8
• Main Authors: Mammone, Nadia, Ieracitano, Cosimo, Morabito, Francesco C.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 18.07.2021
• Subjects: Brain Computer Interface; Brain-computer interfaces; Convolutional Neural Networks; Decoding; Deep Learning; Electroencephalography; Performance evaluation; Planning; Training

Being able to decode the subject's intention to move is still a major challenge in the field of Brain Computer Interfaces (BCI). Even more, decoding the intention to perform movements from the motor preparation phase is a still largely unexplored topic, as most of the efforts have been focused...