• #17 How can AI decode the brain’s messages to move? Brain-to-brain with Mo Nipshagen.

  • May 30 2024
  • Duración: 59 m
  • Podcast

#17 How can AI decode the brain’s messages to move? Brain-to-brain with Mo Nipshagen. Por arte de portada

#17 How can AI decode the brain’s messages to move? Brain-to-brain with Mo Nipshagen.

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  • In today’s episode we had the pleasure to talk to Mo Nipshagen who is doing their PhD in Nijmegen on brain computer interfaces to restore people’s ability to move. Resources: Berezutskaya, J., Saive, AL., Jerbi, K., Gerven, M.v. (2023). How Does Artificial Intelligence Contribute to iEEG Research?. In: Axmacher, N. (eds) Intracranial EEG. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-20910-9_47 Vansteensel, M.J., Pels, E.G., Bleichner, M.G., Branco, M.P., Denison, T.J., Freudenburg, Z.V., Gosselaar, P., Leinders, S., Ottens, T.H., van den Boom, M.A., van Rijen, P.C., Aarnoutse, E.J., & Ramsey, N.F. (2016). Fully Implanted Brain-Computer Interface in a Locked-In Patient with ALS. The New England journal of medicine, 375 21, 2060-2066. https://doi.org/10.1056/NEJMoa1608085 Anumanchipalli, G.K., Chartier, J., & Chang, E.F. (2019). Speech synthesis from neural decoding of spoken sentences. Nature, 568, 4
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