DecodeMI-Net: A Multi-Perspective Deep Neural Network With Channel-Wise Attention for Motor Imagery EEG Decoding
Identification of Motor Imagery (MI) tasks from electroencephalography (EEG) signals plays an important role in brain–computer interfaces (BCIs), especially in the development of non-invasive assistive technologies for individuals with motor impairments. Despite recent advancements, many existing MI decoding methods an...