In this episode, I talk to Fabien Lotte from INRIA in Bordeaux about his research on Brain-Computer Interfaces (BCI). Fabien is a computer scientist working in this field with a particular interest in signal processing and machine learning for EEG-based BCI. We talk about the role of machine learning in neurotechnologies and Fabien's research projects, on everything from user learning of active BCI, measuring curiosity and neurofeedback. We also discuss the benefits of multidisciplinary research, problems and strategies in applying machine learning to EEG data, and what active BCIs can do for a healthy user.
In this episode, I talk to Fabien Lotte from INRIA in Bordeaux about his research on Brain-Computer Interfaces (BCI). Fabien is a computer scientist working in this field with a particular interest in signal processing and machine learning for EEG-based BCI. We talk about the role of machine learning in neurotechnologies and Fabien's research projects, on everything from user learning of active BCI, measuring curiosity and neurofeedback. We also discuss the benefits of multidisciplinary research, problems and strategies in applying machine learning to EEG data, and what active BCIs can do for a healthy user.