Motor intention

…because we predict the input from our motor intention. However, my research has found that the sense of agency plays more roles than just predictions. It enhances perceptual processes of sensory input and potentially helps to harvest more information about the link between the external wo

The motor imagery-based Brain-Computer Interface (BCI) converts the motor intention into a control signal by categorizing the electrophysiological patterns of various imaginative activities using ECoG, which has a broader frequency range and more excellent input quality than EEG. Nevertheless, because ECoG is an invasive method, it would be helpful to create an ECoG bidirectional classifier that minimizes the number of implanted electrodes. The current work aims to create a classifier for ECoG signals that can achieve high accuracy with a small number of electrodes. We utilized the ECoG datase