ePoster · Machine Learning
Transfer Learning from Real to Imagined Motor Actions in ECoG Data
Ozgur Ege Aydogan · Neuromatch 5
Wed, Sep 28, 2022
Brain-computer interface (BCI) applications enable innovative communication with and control of external devices for people with motor deficits by providing a bridge between brain signals and motor actions to replace and restore beneficial function. To measure neural response, Electrocorticography (ECoG) has been utilized as an effective modality for brain-computer interfaces (BCIs). Many studies have shown that both motor imagery and movement execution are located in the frontoparietal region of the brain (Hardwick et. al., 2018). In this study, we aim to demonstrate a shared representation o