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Applied Neurotechnology Lab

The Applied Neurotechnology Lab was established as an interface between the University of Tübingen's Institute for Medical Psychology and Behavioural Neurobiology, the Department of Psychiatry and Psychotherapy, and the MEG-Centre


Our research focus is on the development and clinical application of brain-machine interface (BMI) systems and their combination with non-invasive brain stimulation techniques.  

Currently, the University of Tübingen investigates the use of BMI training in CNS disorders such as stroke, depression, schizophrenia, obsessive-compulsive disorder (OCD) and chronic pain.

During the BMI training, the user receives continuous feedback about his actual brain activity in real-time and successively learns to increase brain activity associated with normal function. 


In this large endeavour, the Applied Neurotechnology Lab uses various sophisticated methods such as magneto- and electroencephalopgraphy (MEG/EEG), near-infrared-spectroscopy (NIRS), functional and structural brain imaging, neuronavigated brain stimulation (e.g. transcranial magnetic and electric stimulation, TMS/TES) and advanced mathematical approaches to study the brain's capacity for neuroplasticity and the mechanisms underlying normal brain function and brain recovery. 


The advantage of this kind of therapy is that it targets the very origin of many neurological and mental disorders: the neurochemical and electric alterations of brain physiology in specific brain regions or functional networks.


The Applied Neurotechnology Lab is funded by the Bundesministerium für Bildung und Forschung (BMBF), the Deutschen Forschungsgemeinschaft (DFG), and the European Union (EU).



Involved facilitiesManagement

Institute for Medical Psychology and

Behavioural Neurobiology

Professor  Dr. Dr. h.c. Niels Birbaumer

Professor  Dr. Jan Born

Department of Psychiatry and Psychotherapy Professor  Dr. Andreas J. Fallgatter
MEG-Center Professor  Dr. Christoph Braun (General Manager)


Dr. med. Surjo R. Soekadar

Surjo R. Soekadar, Dr. med.
Head of research group
Tel. +49 7071 29-82640
Fax +49 7071 29-82625




Birgit Teufel
Project assistant
Tel. +49 7071 29-82624
Fax +49 7071 29-82625



Associated scientists and PhD students

Matthias Witkowski, M.Sc.
PhD student
Tel. +49 7071 29-82623




Marius Nann, M.Sc
PhD student
Tel. +49 7071 29-82623



Jürgen Mellinger

Jürgen Mellinger
Research associate
Tel. +49 7071 29-87750




Bankim Chander, M.S.
PhD student
Tel. +49 7071 29-82623




Marcos Fortunato de Barros Filho, cand.med.
PhD student
Tel. +49 7071 29-82623



Margherita Carboni

Margherita Carboni, B.Psy.Sc.
Università degli Studi di Pavia (03-09 2016)
Tel. +49 7071 29-82623




Chiara Fioravanti, PhD
Research Assistant (01-09 2016)
Tel. 07071/29-82623



Anne Ziel

Anne Ziel, M.Sc.
Research assistant (03-07 2016)
Tel. 07071/29-82623







Lisa_Rieggervisual Mitarbeiter XXX

Lisa Riegger, M.Sc.
Research assistant (09-12 2015)



Riya Paulvisual Mitarbeiter XXX

Riya Paul, M.Eng.
Research assistant (03-10 2015)
BOSCH, Stuttgart



Verena Koppe

Verena Koppe, cand B.Sc.
Research assistant (04-09 2015)



 Johanna WillburgerDr. med.




Eliana García Cossio, M.Sc.
PhD student
Tel. 07071/29-8 26 23




visual Mitarbeiter XXX

Eliana García CossioDr.
Dept. Cognitive Artificial Intelligence, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands



ManuelAgostinivisual Mitarbeiter XXX

Manuel Agostini, Dr.
Schulpsychologische Beratungsstelle im Staatlichen 
Schulamt Albstadt



Manuel Agostini, Dr.
Schulpsychologische Beratungsstelle im Staatlichen Schulamt Albstadt 


Fabrício Lima Brasil, Dr.
Instituto Internacional de Neurociências de Natal Edmond e Lily Safra
(IINN-ELS), Brasilien



Benedict Mössinger, B.Sc.
Master student of Neuroscience, Uni Bremen




Paul Rodermund, B.Sc.
Graduate School of Neural and Behavioral Sciences (02-04 2014):
Lab Rotation I
Project: Effects of frequency-tuned tACS on working memory performance




Marco RüthB.Sc.
Graduate School of Neural and Behavioral Sciences (09-11 2014):
Lab Rotation II



Salma Thalji, M.Sc.
Graduate School of Neural and Behavioral Sciences (09-11 2014):
Essay Rotation






 Current funding and projects 
UKT fortüne  
BMBF BCI-live
(Wearable interfaces for hAnd function recoverY)
EU BNCI Horizon 2020
(Brain/Neural-Computer Interaction)
EU AIDE Horizon 2020
(Adaptive Multimodal Interfaces to Assist Disabled People in Daily ActivitiEs)
DFG NIH-DFG Research Career Transition Awards


Current publications

1. Soekadar SR, Witkowski M, Vitiello N, Birbaumer N. An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand. Biomed Tech. (Berl.) 2015;60:199-205.


2. Soekadar SR, Birbaumer N. Brain-machine interfaces (BMI) for communication in complete paralysis: ethical implications and challenges. In: Clausen J, Levy N (Eds), Handbook of Neuroethics. Springer Netherlands 2015;705-724.


3. Soekadar SR, Cohen LG, Birbaumer N. Clinical brain-machine interfaces. In: Tracy J, Hampstead B, Sathian K (Eds), Plasticity of cognition in neurologic disorders. Oxford University Press, New York 2015;347-362.


4. Soekadar, S.R., Birbaumer, N., Slutzky, M.W., Cohen, L.G. Brain-Machine Interfaces In Neurorehabilitation of Stroke. Neurobiol Dis. 2015;83:172-179; doi:10.1016/j.nbd.2014.11.025.


5. Witkowski M, Cortese M, Cempini M, Mellinger J, Vitiello N, Soekadar SR. Enhancing brain-machine interface (BMI) control of a hand exoskeleton using electrooculography (EOG). Journal of NeuroEngineering and Rehabilitation 2014;11:165, doi:10.1186/1743-0003-11-165.


6. Cortese M, Cempini M, de Almeida Ribeiro PR, Soekadar SR, Carrozza MC, Vitiello N. A Mechatronic System for Robot-Mediated Hand Telerehabilitation. IEEE/ASME Transactions on Mechatronics 2014;99:1-12; doi: 10.1109/TMECH.2014.2353298


7. Soekadar SR, Witkowski M, Birbaumer N, Cohen LG. Enhancing hebbian learning to control oscillatory activity. Cereb Cortex 2014; doi:10.1093/cercor/bhu043.


8. Soekadar SR, Witkowski M, García Cossio E, Birbaumer N, Cohen LG. Learned EEG-based brain self-regulation of motor-related oscillations during application of transcranial electric brain stimulation: feasibility and limitations. Front. Behav. Neurosci. 2014;8:93.


9. Soekadar SR, Witkowski M, García Cossio E, Birbaumer N, Robinson SE, Cohen LG. In vivo assessment of human brain oscillations during application of transcranial electric currents. Nature Communications 2013;4.


10. Soekadar SR, Birbaumer N. Improving the efficacy of ipsilesional brain-computer interface training in neurorehabilitation of chronic stroke. Brain-Computer-Interface Research, Biosystems & Biorobotics, Springer Berlin Heidelberg 2014;6:75-84.



More publications


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Current Information
International Brain-Computer Interface (BCI) Meeting 2016 Asilomar Conference Center
May 30th – June 3rd, 2016
Applied Neurotechnology Lab
Calwerstraße 14
Tübingen 72076
Tel. +49 7071 29-82624
Fax +49 7071 29-82625
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