Using decoded neurofeedback to transfer brain plasticity
Using decoded neurofeedback to transfer brain plasticity
Matching Funds - Steiermark
Disciplines
Electrical Engineering, Electronics, Information Engineering (20%); Medical-Theoretical Sciences, Pharmacy (60%); Medical Engineering (10%); Psychology (10%)
Keywords
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Motor Task,
Neurofeedback,
Motor Learning,
Fmri,
Machine Learning,
Brain Plasticity
Learning new skills is critical to activities of daily living but often requires hours of training. Imagine if we could learn new movements - like playing the piano or guitar at record speed and without conscious training. Our project aims to use functional magnetic resonance neurofeedback to guide subconscious brain training, where people prepare their brain activity to learn new movements. In addition to applying this technology to healthy people, we believe it can also help patients recover from movement disorders such as stroke.
- Universität Graz - 100%
- Guilherme Wood, Universität Graz , mentor
Research Output
- 1 Citations
- 2 Publications
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2025
Title Training and transfer effects on motor skill learning: different encoding processes that lead to mechanism-specific neural codes DOI 10.1101/2025.07.03.662838 Type Preprint Author Marins T Pages 2025.07.03.662838 Link Publication -
2025
Title A common neural architecture for encoding finger movements DOI 10.1101/2025.09.11.675501 Type Preprint Author Marins T Pages 2025.09.11.675501 Link Publication