📢 It’s finally out! New paper alert: doi.org/10.1109/SMC5... 🧠 Summary: We study calibration-free BCI using ERP data and show that rCCA, originally from c-VEP, performs very well when transferred to ERP, being on par with the SOTA UMM. Both reach very high accuracy without any supervised training.

👀 🖥️ #NEMO Met behulp van AI schreef journalist Niels Olfert #NEMO door alleen naar de letters te kijken. Lees en zie hoe dat werkt en hoe je in de toekomst er deuren mee kan openen of zelfs koffie zetten: 👇 www.nemokennislink.nl/publicaties/...

🧠 Recent article in BPEX This study shows BCI inefficiency in c-VEP BCI, neurophysiological predictors of that inefficiency, and how personalisation can boost performance and comfort. A step toward high-speed, accessible, user-friendly BCI! 📖 doi.org/10.1088/2057... #BCI #Neurotechnology #EEG

🧠 Recent article in Clinical Neurophysiology A case study in which we explored how electrode placement impacts decoding efficiency in sEEG-based BCIs using code-modulated VEPs. 📖 Read more: doi.org/10.1016/j.cl... #BCI #Neurotechnology #sEEG #Neuroscience