Using behavior and models to study brain functions. Personal-scientific account: science, events and occasionally opinions @fredcrevecoeur.bsky.social

Namur, Belgium
Joined October 2014
Fred Crevecoeur retweeted
My research group is looking for a postdoctoral fellow to study control principles between human-human and human-agent pairs. Ad below. Please retweet!
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How can we measure how the nervous system knows, moment to moment, where the body is as it moves? We introduce a continuous tracking task to measure the hidden dynamics of proprioception—revealing it is faster and more precise than vision during motion. tinyurl.com/yf297k53
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🚨🚨 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/3…
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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...
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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...
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The computational approach developed here could be a powerful mean to assess goal-directed changes in gait control in clinical populations... (stay tuned ! 😉 )
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In Munich for the 2nd European Motor Control Conference, many thanks to the organisers ! @franklin_lab
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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: 👇
"Scientific fraud has become an industry. And it’s growing faster than legitimate peer-reviewed science journals can keep up with." theconversation.com/how-bad-…
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In Maastricht for @ISPGR, come check our work this afternoon ! P02-M-100 by Clémence Vandamme
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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...
Cerebellar circuit computations for predictive motor control — a Review by Katrina P. Nguyen & Abigail L. Person nature.com/articles/s41583-0…
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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 !
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Besides: critical damping as shown in Fig. 1 of the paper can be achieved without FF controller (depends on the mechanical parameters...)
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Lab outing, visits, outdoors, science, food and lots of fun ! Group pic credit @delhayeben, & Bouillon castle 👇
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🚨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/10.1101/…
🧠What do random neural networks have in common with the motor cortex? Turns out, a lot! Both exhibit similar low‑dimensional dynamics across sensorimotor tasks.👇🧵
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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...
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