Lecturer: Christian Herff
Fields: Machine Learning, Signal Processing, Neural Data
Content
This course will cover the field of Brain-Computer Interfaces that decode speech directly from invasive neural activity.
- Session one will introduce different measures of invasive neurophysiology and highlight the state of the art in speech BCIs.
- Session two, we will look at intracranial data directly and realize a first decoding system.
- Session three is dedicated to open challenges and future directions.
Literature
- Silva, A. B., Littlejohn, K. T., Liu, J. R., Moses, D. A., & Chang, E. F. (2024). The speech neuroprosthesis. Nature Reviews Neuroscience, 25(7), 473-492.
Lecturer
Christian Herff is an Associate Professor in the Department of Neurosurgery, where he leads the research program on invasive brain–computer interfaces (BCIs). With a background in computer science, he bridges technical innovation and clinical application to drive some of Europe’s most advanced work in neural interfaces. His leadership in the field is reflected in his election to the Board of the BCI Society, where he represents invasive BCI research.
Affiliation: Maastricht University
Homepage: https://www.maastrichtuniversity.nl/ce-herff