Payam S. Shabestari

Payam S. Shabestari

PhD student at Zurich Neuroscience Center (ZNZ). I'm interested in signal processing, neuroimaging, computational neuroscience, machine learning and neurofeedback.

Research

My research focuses on computational neuroscience, with an emphasis on analyzing multi-electrode electrophysiological recordings, including MEG and EEG, to advance neuronal data analysis and develop robust real-time signal processing methods for neurofeedback applications. I also have a strong interest and growing experience in MRI-based analysis, with a particular focus on investigating structural and functional connectivity within the human brain.

Dynamic visualization of a blooming tree driven by neurofeedback signals (e.g., alpha power) extracted from M/EEG recording, illustrating real-time modulation of the computed feature.