the mind machine
The mind machine is a podcast devoted to the latest research in applied neurosciences, physiological computing, neuroadaptive interfaces and human factors psychology. Each episode features a conversation with a different researcher about their work. Our discussions will focus on emerging technologies, such as: brain-computer interfaces, system automation, affective computing, wearable sensors and assistive technology. The conversations will cover technical aspects of the work as well as potential societal impacts. The podcast will present academic research in a way that is both informal and accessible for both professional and non-professional listeners.
the mind machine
Ep10: Fabien Lotte on Brain-Computer Interfaces
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Stephen Fairclough
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Season 1
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Episode 10
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.