Conferences and symposiums Radboud DONUT Workshop 2026: An immersive summer school on Brain–Computer Interfacing
23-06-2026 5:00 pm Add to iCal

Explore the latest developments in brain–computer interfacing at the Radboud DONUT Workshop 2026, a two‑day workshop on brain–computer interfacing (BCI) organised by Radboud University. The event takes place on Monday 22 and Tuesday 23 June 2026 in Nijmegen, but most of the talks will also be streamed via Zoom.
The DONUT project is a European doctoral network focused on advancing research and training in brain–computer interface (BCI) technologies through interdisciplinary collaboration and doctoral education. Radboud University contributes to this European effort as a partner in DONUT. Through initiatives such as this workshop, Radboud University connects European doctoral training (DONUT) with the broader NeurotechEU ecosystem, fostering collaboration, knowledge exchange, and accessibility across institutions and disciplines.
Workshop focus
The workshop features a broad and diverse scientific programme centred on brain‑computer interfacing and neurotechnology.
Participants can explore a series of lectures covering topics such as
- Finger movement decoding from electrocorticography
- Wearable EEG: state‑of‑the‑art homegrown hardware
- BCI methods for adaptive deep brain stimulation
- EEG Foundation Models: pretrained representations to boost decoding when labeled data is scarce
…and many others. In addition to lectures, the workshop includes live demos and poster presentations.
Together, these activities give participants direct insight into current approaches, tools, and applications in BCI research, while offering opportunities to engage with experts and explore a wide range of ongoing work in the field.
Participation and registration
The workshop is open to Master students / PhD students / early Postdocs who are interested in advanced BCI topics. Registration is required and is available via links provided in the official workshop booklet: Radboud DONUT Workshop 2026 | Data-Driven NeuroTechnology lab.
