Symposium: Machine Learning with EEG/fNIRS | EEG Research meetings and recordings

The Machine Learning with EEG/fNIRS symposium has been supported by the European Fund for Regional Development. This mini symposium took place on Friday the 18th of November 2022 at the University of Twente.

There were several contributions to this symposium:

Part 1: Introduction (speaker: Rob van der Lubbe)

Part 2: BCI and ML techniques (speaker: Mannes Poel)

Here is the link to the second part of the Machine Learning with EEG/fNIRS symposium that was presented by Mannes Poel.

Part 3: fNIRS predicting action (speaker: Jan-Willem van 't Klooster)

Here is the link to the third part of the Machine Learning with EEG/fNIRS symposium that was presented by Jan-Willem van 't Klooster.

Part 4: EEG and fNIRS with mental workload (speaker: Boudewijn van den Berg)

Here is the link to the fourth part of the Machine Learning with EEG/fNIRS symposium that was presented by Boudewijn van den Berg

Part 5: Motor decoding (speaker: Andreea Sburlea)

Here is the link to the fifth part of the Machine Learning with EEG/fNIRS symposium that was presented by Andreea Sburlea.

Part 6: EEG and epilepsy (speaker: Maryam Amir Haeri)

Here is the link to the sixth part of the Machine Learning with EEG/fNIRS symposium that was presented by Maryam Amir Haeri.

Part 7: EEG, Graph theory, and Machine Learning (speaker: Funda Yildirim)

Here is the link to the seventh part of the Machine Learning with EEG/fNIRS symposium that was presented by Funda Yildirim.