Martin Seeber
Papers
2
Total Citations
220
H-Index
2
About
Martin Seeber is a leading researcher in the field of human motor neuroscience, with a primary focus on understanding cortical dynamics during locomotion. His work bridges the gap between basic neuroscience and clinical rehabilitation, particularly for stroke patients. Seeber’s major contributions center on non-invasive electroencephalographic (EEG) recordings during robot-assisted walking, revealing how specific brain rhythms—such as beta suppression and low gamma modulation—underpin the neural control of upright gait. His most cited paper (2014, 216 citations) provides groundbreaking evidence that distinct EEG frequency bands play different functional roles in human walking, challenging earlier assumptions about cortical involvement in automated movements. In related work (2013), he developed spatial-spectral methods to identify mu and beta rhythm sources during robotic gait training, laying a computational foundation for future brain-computer interface (BCI) applications in neurorehabilitation. By combining advanced source localization with real-world movement paradigms, Seeber has established a new framework for studying the intact and injured human motor system. His research is highly influential among scientists and clinicians seeking to decode the neural signatures of walking and to design targeted interventions for restoring mobility after neurological injury.
Research Focus
Key Achievements
Top Papers
- 1
- 2