Papers
15
Total Citations
849
H-Index
8
About
Reinhold Scherer is a leading figure in the field of non-invasive brain-computer interfaces (BCIs) and neural correlates of human movement, with a particular focus on gait and robotic control. His research bridges fundamental neuroscience and practical BCI applications, exploring how electroencephalographic (EEG) signals reflect cortical involvement during walking. Scherer’s seminal 2012 study on robotic-assisted treadmill walking (301 citations) demonstrated that the level of active participation modulates sensorimotor EEG rhythms, providing a foundation for understanding voluntary motor engagement in neurorehabilitation. His 2014 work on EEG beta suppression and low gamma modulation during upright walking (216 citations) further elucidated distinct neural elements of human locomotion, while his study on virtual alley walking (167 citations) revealed premotor and parietal activation during gait planning. Scherer has also advanced BCI technology for humanoid robot control, developing adaptive, hierarchical systems that enable thought-based interaction with the physical world. His contributions have been widely recognized, with over 800 total citations across his most-cited works, and his research continues to shape the development of more intuitive, responsive BCIs for assistive technology and motor rehabilitation.
Research Focus
Key Achievements
Top Papers
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- 4An adaptive brain-computer interface for humanoid robot control61 citations · 2011
- 5Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control28 citations · 2011
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- 7Thought-based interaction with the physical world12 citations · 2013
- 8Towards hierarchical BCIs for robotic control11 citations · 2011
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- 10Non-Manual Control Devices7 citations · 2011