[Eeglablist] Mobile Brain-Computer Interface: Challenges, Opportunities, and Paradigms. ANT Neuro & University of Potsdam. 12-13 May 2026

Thu Apr 9 07:30:38 PDT 2026

BOOTCAMP ON MOBILE BRAIN-COMPUTER INTERFACE (MOBCI): CHALLENGES, OPPORTUNITIES,
AND PARADIGMS. 

ORGANIZERS: POTSDAM EMBODIED COGNITION GROUP (PECOG) – UNIVERSITY OF POTSDAM [1]
+ ANT NEURO [2] BERLIN 

12-13 MAY 2026 – UNIVERSITY OF POTSDAM 

Brain-Computer Interfaces (BCIs) offer a powerful method of communication with
machines using brain signals (mainly EEG). However, most interfaces operate in a
seated setup, restricting real-world applications. Mobile Brain Imaging (MoBI)
solutions present an opportunity to overcome this by creating Mobile BCIs
(MoBCI). This bootcamp is designed for early-career researchers, Master's, and
PhD students focused on the challenges and applications of capturing and
utilizing brain activity in real-world, mobile environments. It is structured to
bridge theory and practice, allowing participants to discuss and explore the
technical and methodological challenges of creating this new generation of BCI.
In a series of expert-led symposiums, you will explore the complete BCI
pipeline, including BCI interaction design, advanced EEG signal processing and
Machine Learning, the challenges of Mobile EEG, and large-scale collaborative
efforts like the EEGManyPipelines initiative. These academic sessions build a
full day of hands-on application. Using ANT Neuro hardware, you will apply these
concepts directly in a Mobile BCI setup, progressing from basic implementation
to the complexities of MoBCI design. This bootcamp offers a unique opportunity
to gain a comprehensive understanding of the mobile BCI landscape, from
theoretical paradigms to practical implementation. Connect with leading experts,
develop hands-on skills, and explore the future of brain-computer interaction. 

TARGET: PhD students, early-career researchers interested in EEG, Neuroscience,
and Brain Computer Interface. 

DURATION: 2 days, 9:00-17:00 (1h lunch break + 15min coffee breaks in between) 

LOCATION: Universität Potsdam, Campus I - Am Neuen Palais. Room: 1.08.0.58. Am
Neuen Palais 10. 14469 Potsdam 

CAPACITY: 30 participants (max) 

CONFIRMED SPEAKERS: 

 	* Prof. PhD Fabien Lotte (INRIA, France)
 	* Prof. PhD Maryam Alimardani (Vrije University, Netherlands).
 	* Prof. PhD Claudia Gianelli (University of Messina, Italy).
 	* Prof. PhD Stefan Debener (Carl von Ossietzky Universität Oldenburg, Germany)
 	* PhD. Marius Klug (Brandenburg University of Technology Cottbus-Senftenberg,
Germany)

AGENDA: 

DAY 1: 

- Brain-Computer Interaction design: from theory to applications. FABIEN LOTTE
[3] 

- Are EEG Foundation Models a Game Changer for BCIs? MARYAM ALIMARDANI [4] 

- The impact of analytical choices on EEG results: lessons learned from the
EEGManyPipelines project. CLAUDIA GIANELLI [5] 

- Mobile EEG for Real-World Interaction. Stefan Debener [6]. 

DAY 2: 

- Hardware demo - EEG setup. ROMAN VAKHRUSHEV [7], FABIO BAROLLO [8] 

- Experiment design MoBCI - Hands-on session to create the interface (LSL +
Psychopy). J ANDRÉS RIASCOS-SALAS [9] 

- Running MoBCI - Hands-on session to collect EEG data. ROMAN VAKHRUSHEV [7],
FABIO BAROLLO [8], J ANDRÉS RIASCOS-SALAS [9] 

- Analyzing MoBCI - Hands-on session to pre-process and analyze the collected
EEG (EEGLAB). MARIUS KLUG [10]. 

Be part of pushing the borders of BCI, acquiring new knowledge, connecting with
peers, and having fun running a Mobile BCI. 

 Registration:
https://urldefense.com/v3/__https://www.eventbrite.com/e/mobile-brain-computer-interface-challenges-opportunities-and-paradigms-tickets-1915914595129?aff=Salas__;!!Mih3wA!HSiaLX8v3foJAFl5FsxhuKlH2Y589XuUBdZy4dc7YqxXYa7J3pTeOxFD3oegfVvepG8O8G7ZplFZlmJgv74mJY-WJD4$ 
[11] 

Please share it with colleagues or interested people. I hope to see you in
Potsdam! 

Links:
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[7] https://urldefense.com/v3/__https://www.linkedin.com/in/roman-vakhrushev-bb857848/__;!!Mih3wA!HSiaLX8v3foJAFl5FsxhuKlH2Y589XuUBdZy4dc7YqxXYa7J3pTeOxFD3oegfVvepG8O8G7ZplFZlmJgv74m2xCqKnM$ 
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[11]
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