Fred Crevecoeur

🚨🚨 We're hiring !! Come work in an international, collaborative and stimulating environment on mechanisms of human upper limb motor control 👇👇👇 euraxess.ec.europa.eu/jobs/386645

This is not so clear... In fact the evidence that we have for finite horizon control in the sensorimotor system may not be what we think ! Especially, the effect of rewards and nonlinearities modulate feedback gains in finite and infinite horizons schemes...

Fun collaboration with @andpru @AntoineComite @hariteja11 on the merits of infinite horizon control model: how does the brain select a movement time? Infinite horizon control captures modulation of movement duration in reaching movements biorxiv.org/content/10.110…

The computational approach developed here could be a powerful mean to assess goal-directed changes in gait control in clinical populations... (stay tuned ! 😉 )

Here we show how these changes in control strategy are modulated by auditory inputs and how they can be simulated in theory: the model suggests that the change is really fast (1 stride?) but the consequence is only visible after long stride series...

Preprint alert 🚨:Measured and modelled transitions between self-paced walking and synchronization with rhythmic auditory cues 👇 biorxiv.org/content/10.110…

In Munich for the 2nd European Motor Control Conference, many thanks to the organisers ! @franklin_lab

I don't know the media and I did not fact check all things that I don't know for sure, but I've witnessed much of what is described here, and we're in trouble: 👇

A very cool new finding from our lab! During a cooperative sensorimotor task, we show that involuntary visuomotor feedback responses reflect a representation of a partner. biorxiv.org/content/10.110… Led by the extremely talented, @SethSullivan_

In Maastricht for @ISPGR, come check our work this afternoon ! P02-M-100 by Clémence Vandamme

Besides: critical damping as shown in Fig. 1 of the paper can be achieved without FF controller (depends on the mechanical parameters...)

Where is the catch? State estimation uses internal models, which if inaccurate produce errors and unintended movement deviations. What do movement errors indicate: wrong IM in the feedback loop or inadequate FF control? We don't know !

Important review on cerebellar circuits, however the theoretical basis is wrong: the obvious error is that feedback driven controllers do perform very well even with long delays, if there is a **state estimator**. There is extended literature on computational and behavioural...

Lab outing, visits, outdoors, science, food and lots of fun ! Group pic credit @delhayeben, & Bouillon castle 👇

This simple model (1) explains a lot of data, (2) makes direct prediction about population activity and low dimensional factors for any task and (3) provides a conceptual framework linking neural population activity and sensorimotor control...

🚨Tweeprint by @hariteja11 for our work on neural population dynamics: we show that features of neural population activity during reaching emerge from a simple linear body-network system 🧵👇 biorxiv.org/content/10.110…

Excerpt from longer exchange but this matters, also for committees/panels that use bib metric 👇