Neural Interfaces

14. Improve athletic performance

Mind and body are even more linked than we thought. In fact, our physical performance directly depend on the health of our brain. In this episode, we explore with Dr. Camille Jeunet-Kelway how to use neurofeedback to train better and excel in sports and physical activities at large. RESOURCES EEG-neurofeedback as a tool to improve athletic performance [https://doi.org/10.1016/B978-0-443-24824-5.00014-4], by Camille Jeunet-Kelway, Margaux Izac, Effie Segas, Cloe Guerrini, Bernard N'Kaoua, Léa Pillette Neurathletics [https://neurathletics.fr]

13. Making better decisions with neural technologies

In this episode, we explore how neural technologies can be used to improve the way we make decisions with Professor Riccardo Poli from the University of Essex. We will also discover how AI and brain-computer interfaces can be combined to make humans and artificial intelligence even better. RESOURCES Improving decision capabilities through brain–computer interfaces [https://doi.org/10.1016/B978-0-443-24824-5.00008-9], by Riccardo Poli and Caterina Cinel

12. Passive brain-computer interfaces

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

11. Neuroergonomics

An important field where neural interfaces are applied is neuroergonomics, the study of the brain in everyday settings. This episode presents the main applications of neural interfaces in this field with Prof Hasan Ayaz, a pioneer of the field and main organizer of the Neuroergonomics conference. RESOURCES Harnessing neuroergonomics: integrating wearable neurotechnologies for enhanced human performance and experience [https://doi.org/10.1016/B978-0-443-24824-5.00012-0] by Hasan Ayaz

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/]