Marius 't Hart

various computational neuroscience / MEEG / LFP short courses and summer schools

📆 updated for 2026!

list of summer schools & short courses in the realm of (computational) neuroscience or data analysis of EEG / MEG / LFP: 🔗 docs.google.com/spreadsheets...

(Messages above by Raphael, who is not on BlueSky, and worked on this project since 2019... congrats on - more or less - finishing it!)

Overall, we show that preparatory and feedback-related EEG markers differ across perturbation types, showing distinct neural processes across motor learning types. Data is also available online, and we welcome feedback!

For feedback processing, P3 amplitude reduces across training for the rotation but remains stable for the mirror reversal. We also observe a sustained positivity that seems to index implicit learning.

We identify EEG markers distinguishing these two motor learning types across temporal and frequency domains. For movement preparation, the Readiness Potential shows training-related modulation for the rotation, but not the mirror reversal. Beta and alpha modulation was also observed in the rotation.

EEG Dynamics of Movement Preparation and Error Processing Distinguish Motor Adaptation From De Novo Learning Previous research has distinguished behavioral mechanisms between motor adaptation and de novo learning. However, electroencephalography (EEG) markers dissociating them remain unclear. Here, participa...

New preprint out! (doi.org/10.64898/202...)
We examined how EEG activity during movement preparation and error processing distinguishes learning and error processing between motor adaptation and de novo learning.

EEG Dynamics of Movement Preparation and Error Processing Distinguish Motor Adaptation From De Novo Learning https://www.biorxiv.org/content/10.64898/2025.12.11.693740v1

Someone in my lab asked me to make a QR code, yet again. So I vibe-coded them a Shiny app, and now you could use it too: mthart.shinyapps.io/ShinyQR/

Vibe coding is fun, but I would not use it for data analysis.

Source code: github.com/thartbm/Shin...

I think almost all scientific projects should be planned carefully. And I think an app can dramatically improve that. So I wrote an app for that (free for now, if you can fund this let me know). I tested it quite a bit (>8000 users in beta so far). try it: planyourscience.com

For sure! We're developing a task where we can manipulate the environmental aspect much better. Will be a while, but it's coming.

This data was recorded in 2022 or so... I finally got my act together to finish all the data analyses. But... data does not expire!

If you want to get your 2 cents in before we get reviews from the journal, now's your chance!

We find that the influence of the frame extends somewhat in space, but not in time. Motion signals don't play much of a role; the frame effect is dominated by the perceived position of the frame. This tells us that our visual system localizes objects relative to their reference frame.

Here we test what happens when there are offsets in space and time between the frame and probes. And technically also effects of two motion signals apart from those of the frame. Videos linked in the pdf!

Frame Effects Across Space and Time When two probes are flashed at different times within a moving frame they can be perceived as dramatically separated from each other even though they are at the same location in the display. This effe...

Preprint: Frame Effects Across Time and Space (FEAST): www.biorxiv.org/cgi/content/...

In the frame effect people perceive a large horizontal separation between two horizontally aligned flashed probes when they are flashed within a left-right moving frame.

Agree with most stuff. Gaming the numbers is impossible if we don't rely on them anymore: reading > h-index, yes! But APCs are used by good journals to make science more open. Maybe Math is less open? Or preprints already make it open?

Interview with Ilja Agricola (from Marburg) about publication fraud in math.

retractionwatch.com/2025/09/24/m...

tomatoes, onions and garlic roasting on a baking sheet on a BBQ

pergola partially overgrown with Ivy with some patio lights in the evening

bee with big clumps of pollen sucking nectar out of a flower on a butterfly bush

hummingbird drinking from a feeder hanging from a pergola

Enjoying the end of summer!

The myth of optimality in human movement science The concept of optimality dominates contemporary human movement science, with researchers across biomechanics, motor control, and neuroscience routine…

The myth of optimality in human movement science

www.sciencedirect.com/science/arti...

This shows that dual adaptation experiments can be done in standard VR setups, opening new research questions to be tested in more immersive settings and with more freedom of movement.

However, the incongruent movement group learned about as much as the single adaptation group. This reproduces effects of lead-in movements on dual adaptation, as found before.

The congruent movement tools and color control groups only learned within each 8 trials, showing that color didn't work, as expected, but also that the tool identity was not sufficient for dual adaptation.

In 4 groups, people switch between tools and rotations every 8 trials: 1) using two different colored paddles (color control), 2) using the paddle and curling rod (congruent movement), 3) the paddle and slingshot (incongruent movement) or 4) use one tool for a long time (single adaptation).

People used one of 3 tools for this: an air-hockey paddle and a curling rod are moved forward, and either impact with the ball, or shove it for some time. There is also a slingshot that is pulled back and released to launch the ball.

In this paper, Andrew King looked at tools as cues for dual adaptation. He used a VR task, where a ball had to be launched to a target with a 30 degree rotation.

With @deniseyph.bsky.social and @jjodx.bsky.social as well as Gaurav Sharma and Mireille Broucke.

In this paper we use a new approach from control theory (engineering), a "disturbance observer", to see if it can be applied to visuomotor adaptation. This "DO model" is doing reasonably well.

Looking for a suitable journal now, feedback welcome in the meantime!

6. The 38 older participants were not different from the others. Don't worry too much about getting older!

5. Neither the speed nor the extent of learning could be predicted by any of our measures. Like some -but not all- previous findings, this argues against the eploration-exploitation hypothesis.

4. Visually guided reaches and both measures of proprioception showed comparable levels of precision, with only no-cursor reaches showing increased noise. I.e. proprioception is not necessarily noisy.