Surjo R. Soekadar
Scholar

Surjo R. Soekadar

Google Scholar ID: kb1YJ2IAAAAJ
Clinical Neurotechnology Lab, Charité - Berlin & Applied Neurotechnology Lab, University of Tübingen
brain-computer interfacebrain-machine interfacebrain stimulationneuroplasticity
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Citations & Impact
All-time
Citations
5,868
 
H-index
36
 
i10-index
74
 
Publications
20
 
Co-authors
3
 
Publications
1 items
The Goldilocks zone of governing technology: Leveraging uncertainty for responsible quantum practices
2025
Cited
0
Resume
Academic Achievements
  • - Innovations in the field of non-invasive brain stimulation.
  • - Application of EEG, MEG to record electromagnetic oscillations, and development of new mathematical approaches to quantify other aspects of brain physiology.
Research Experience
  • - Developing non-invasive neuromodulation methods for treating psychiatric and neurological disorders.
  • - Combining existing and novel stimulator technologies to target specific brain areas more accurately.
  • - Employing real-time computer systems to obtain ongoing brain activity, ensuring that the timing of stimuli respects crucial windows of opportunity.
  • - Investigating basic mechanisms of perception (e.g., binocular rivalry) and cognition (e.g., working memory).
  • - Real-time modeling and classification of brain states using EEG and MEG data.
  • - Developing brain-computer interfaces (BCIs) to control exoskeletons for motor function rehabilitation.
Background
  • Focused on clinical neurotechnology research, particularly in non-invasive brain stimulation and next-generation brain-machine interfaces.
Miscellany
  • Research interests include: closed-loop brain stimulation, real-time modeling and classification of brain states, neural control of exoskeletons, and applications of optically pumped magnetometers.