Neural Interfaces

12. Passive brain-computer interfaces

24 min · 6. maj 2026
episode 12. Passive brain-computer interfaces cover

Description

Today, we are used of tracking our heart rate, steps, sleep, physical activity, and other biometrics. Tomorrow, we will be able to track our brain activity 24/7. In this episode, we explore with Dr. Marius Klug what we could gain from measuring our brain continuously and build BCIs that work in background to help us with our lives. RESOURCES Passive Brain-Computer Interfaces: Tracking Mental States for Neuroadaptive Technology [https://doi.org/10.1016/B978-0-443-24824-5.00010-7] by Marius Klug, Diana Gherman, Laurens Krol, Thorsten Zander

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15 episodes

episode 10. Building a brain-computer interface artwork

10. Building a brain-computer interface

In this episode, we discuss how to build a brain-computer interface from scratch with BCI researchers Dr Fabien Lotte, Pauline Dreyer and David Trocellier. Starting from identifying its requirements to what hardware and software is available, we will see the main questions that need to be answered before even writing one line of code (if it is at all required). RESOURCES How to build a brain-computer interface from beginning to end [https://doi.org/10.1016/B978-0-443-24824-5.00004-1], by Fabien Lotte, Pauline Dreyer, Sébastien Rimbert, David Trocellier, Marc Welter - Progress in Brain Computer Interface: Challenges and Opportunities [https://doi.org/10.3389/fnsys.2021.578875] - Brain–Computer Interfaces: A Gentle Introduction [https://doi.org/10.1007/978-3-642-02091-9_1] - Brain–computer interfaces for communication and control [https://doi.org/10.1016/S1388-2457(02)00057-3] - The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering [http://doi.org/10.1088/1741-2552/adbfbd] - Cutting EEG [https://cuttingeeg.org/]

22. apr. 202620 min