Event
Latent Dynamics Enable Decoding of Brain Statesand Discovery of Oculomotor Rhythmicity
About
What to expect
The thesis looks at how hidden brain processes can be inferred from indirect signals in two areas of systems neuroscience.
- First part uses fNIRS on blood oxygenation
- Mental states decoded from channel signal covariation
- Riemannian geometry classifiers nearly double decoding accuracy
- Command following detected in disorders of consciousness
- Second part studies saccade timing
- Brain stimulation increased saccade rhythmicity
FAQ
How can I register?
Registration goes through the Radboud University page for this item:
Who organises it?
The organisers listed are:
Donders Centre for Neuroscience
Donders Institute for Brain, Cognition and Behaviour
Faculty of Science
What does the thesis cover?
The first part applies an analysis method to functional near-infrared spectroscopy (fNIRS), which measures blood oxygenation changes in the brain.
Mental states are decoded from how signals from different channels covary.
Classifiers based on Riemannian geometry nearly double decoding accuracy.
A clinical proof of principle reliably detects command following in patients with disorders of consciousness.
The second part looks at the timing of saccades, the rapid eye movements primates use to sample their surroundings.
Getting there
Radboud Universiteit, Houtlaan 4, 6525 XZ Nijmegen, Gelderland, NL
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