Welcome to the Neural Interfacing Lab in the Department for Neurosurgery at Maastricht University. We are a multidisciplinary team investigating Brain-Computer Interfaces and closed-loop neural interfaces though the application of advanced Machine Learning.
Recent News
- Christian was invited by the UN Science Policy Forum to discuss what's fact and what is fiction in the BCI realm.
- Two papers out in Cell Reports! Check them out here and here.
- New paper accepted in Current biology. Check it out here.
- We're happy to welcome Jose A. Gonzalez-Lopez from the University of Granada as a visiting professor in our lab.
- Maxime appeared on the 'Neurocareers - Doing the Impossible!' podcast, talking about decoding speech with sEEG and more general career advice.
Latest publications
Here, we demonstrate that movement-related neural activity can be recorded and decoded from cortical and subcortcial areas throughout the brain.
Maarten C Ottenhoff, Maxime Verwoert, Sophocles Goulis, Albert Colon, Louis Wagner, Simon Tousseyn, Johannes P van Dijk, Pieter Kubben, Christian Herff
We identified global motor dynamics, that are preditive across tasks and across participants. Even with non-overlapping electrode configurations
Maarten C Ottenhoff, Maxime Verwoert, Sophocles Goulis, Louis Wagner, Johannes P van Dijk, Pieter Kubben, Christian Herff
In this study, we show that decisions are processes differently whether we know what we are deciding about, or whether we are just guessing. Both processes elicit strong enough neural responses that we can decode them from sEEG.
Laura Marras, Maxime Verwoert, Maarten C. Ottenhoff, Sophocles Goulis, Johannes P. van Dijk, Simon Tousseyn, Louis Wagner, Albert J. Colon, Pieter L. Kubben, Marcus L.F. Janssen, Steffen A. Herff, Christian Herff
We show that high-quality speech can be synthesized from sEEG recordings using an encoder-decoder framework inspired by Tacotron-2.
Jonas Kohler, Maarten C. Ottenhoff, Sophocles Goulis, Miguel Angrick, Albert J. Colon, Louis Wagner, Simon Tousseyn, Pieter L. Kubben, Christian Herff
We present an open-access dataset of 10 participants reading words out loud while recorded with intracranial EEG. This data can help in understanding the speech production process better and can be used to test speech BCI algorithms.
Maxime Verwoert, Maarten C. Ottenhoff, Sophocles Goulis, Albert J. Colon, Louis Wagner, Simon Tousseyn, Johannes P. van Dijk, Pieter L. Kubben, Christian Herff
Neural Interfacing Lab
Department for Neurosurgery
Maastricht University
Universiteisingel 50, 6229 ER Maastricht, The Netherlands