Anne-Marie Brouwer is a senior Scientist at TNO in the Netherlands.  She has a background in cognitive psychology but has applied her methodological expertise to a wide range of research projects.  During our conversation, we talk about the importance of methodology for applied research in psychology and neurosciences.  We also talk about specific projects that Anne-Marie has been involved in, such as brain-computer interfaces, physiological synchrony, measuring stress under laboratory conditions, and some recent work on perceptions of food.

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.

Graeme Moffat is a neuroscientist working in the field of consumer neurotechnology.  At the time of this conversation, he was chief scientist at Interaxon who make the Muse product.  Muse is an EEG system designed to support meditation practice via auditory feedback.  During our conversation, we talk about the development of Muse and the  challenges encountered when designing an EEG system for the population at large.  We also discuss other issues related to consumer neurotechnology, such as interface design, lessons learned from big (EEG) data, and privacy.  We also chatted about how differences between working as an academic or as part of a commercial organisation, and how both sectors bring their own perspective to the development of neurotechnologies.