Very happy to put this work out!

Movement errors are reduced even in unpredictable environments, where anticipation is not possible.

We addressed the complex processes interacting within an ongoing action to achieve this...

Preprint out by @harikalidindi.bsky.social : reaching movements result from multiple control and adaptation processes dependent on whether the context is predictable: www.biorxiv.org/content/10.6...

How does perceived risk shape adaptation and learning?

Our new work reveals that locomotor adaptation proactively navigates a "fall risk landscape" , modulating learning parameters that dictate optimality to prioritize safety.

(work with Inseung Kang and Kanishka Mitra)

doi.org/10.64898/202...

Feedback control of random networks as a model of flexible motor cortical dynamics across tasks Kalidindi and Crevecoeur develop a computational framework linking feedback-controlled networks to limb dynamics. They demonstrate that optimal control of fixed network reproduces key motor cortical d...

Paper is out by @harikalidindi.bsky.social : feedback control model of neural population activity
www.cell.com/cell-reports...

Staying stable Scientists at MIT’s McGovern Institute have determined that animals with very different bodies likely use a shared strategy to balance themselves when they walk.

Yang ICoN researchers are revealing the shared rules of balance across species. 🧠🚶‍♀️🐭🪰 Humans, mice, and flies all use the same error-correction strategy to stay upright, thanks to new work led by ICoN Center’s @nidhise.bsky.social & ICoN Fellow @antoinecomite.bsky.social.

Postdoc Position on Systems Neuroscience, Motor Control at UCLouvain, Belgium Project Title: Multi-disciplinary, multi-lab investigations of the neural bases of human sensorimotor control Project Description:

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

Sensory expectations shape neural population dynamics in motor circuits Nature - Experiments with human volunteers and macaques show that expectations produced by probabilistic cueing of future sensory inputs shape motor circuit dynamics in order to increase the...

Thrilled that our paper is out today in Nature!
www.nature.com/articles/s4...

Very happy to have my first postdoc work with Nidhi published!

In Nov last year, we published a predictive theory of locomotor adaptation to novel environments, capturing learning and generalization phenomena in over ten experiments:
www.nature.com/articles/s41...

I'm honored to be featured on the 2025 Innovators Under 35 list for this work.
ter.li/7c0jek

Compositional neural dynamics during reaching The complex mechanics of the arm make the neural control of reaching inherently posture dependent. Because previous reaching studies confound reach direction with final posture, it remains unknown how...

Excited to share my latest work with @jonathanamichaels.bsky.social @diedrichsenjorn.bsky.social & @andpru.bsky.social!
We asked: How does the motor cortex account for arm posture when generating movement?
Paper 👉 www.biorxiv.org/content/10.1...
1/10

We are excited to share our new paper that dives into how ongoing decision deliberation reflects ongoing movements: (jneurosci.org/content/45/3...
A tour-de-force by the incredible Jan Calalo.

Interference between flexible and adaptive reaching control Humans rapidly update the control of an ongoing movement following changes in contextual parameters. This involves adjusting the controller to exploit redundancy in the movement goal, such as when rea...

When we reach for an object, we adapt to unexpected dynamics and respond to disturbances. These two mechanisms work online, and when you perturb them at the right time, you can see interference...

Full story ➡️ www.biorxiv.org/content/10.1...

Fred Crevecoeur
@fredericcrevec1
🚨preprint time by @harikalidindi.bsky.social
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/10.1...

🧠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.👇🧵

Now out in JNP: journals.physiology.org/doi/full/10....

A Context-Free Model of Savings in Motor Learning Learning to adapt voluntary movements to an external perturbation, whether mechanical or visual, is faster during a second encounter than during the first. The mechanisms underlying this phenomenon, k...

Excited to share my latest work with @oliviercodol.bsky.social, supervised by @jonathanamichaels.bsky.social and @paulgribble.bsky.social, where we introduce a context-free model of savings in motor learning:
www.biorxiv.org/content/10.1...

Applications are now open! 3-week courses: Comp Neuro and Deep Learning. 2-week courses: NeuroAI and Comp Tools for Climate Science.

🚨 Neuromatch Academy Course Applications are OPEN for 2025!! 🚨

Get your application in early to be a student or teaching assistant for this year’s courses!

Applications are due Sunday, March 23.

Apply & learn more: neuromatch.io/courses/

#mlsky #compneurosky #ai #climatesolutions #ScienceEdu 🧪

This paper ieeexplore.ieee.org/abstract/doc..., published at ICAIC25, blatantly plagiarises a paper by myself and colleagues at the Turing,, claiming that they developed the sqlsynthgen package. Although the text has been rephrased, the contents are nearly identical.

Terms Are Tools in Biological Motor Control "Terms Are Tools in Biological Motor Control" published on 23 Dec 2024 by Human Kinetics.

Here @sresch.bsky.social and I respond to a Latash piece on definitions in biological motor control. Our view: let's not caught up in prosecuting definitions -- we're in the meat of the discovery stage. doi.org/10.1123/mc.2...

Can the motor system use sensory expectations to prepare for unexpected events?

Excited to share my latest work with @andpru.bsky.social – where we establish that sensory expectations shape neural population dynamics in motor circuits!

🧵 and paper below
1/

Brain-like neural dynamics for behavioral control develop through reinforcement learning During development, neural circuits are shaped continuously as we learn to control our bodies. The ultimate goal of this process is to produce neural dynamics that enable the rich repertoire of behavi...

Here’s our latest work at @glajoie.bsky.social and @mattperich.bsky.social ‘s labs! Excited to see this out.

We used a combination of neural recordings & modelling to show that RL yields neural dynamics closer to biology, with useful continual learning properties.

www.biorxiv.org/content/10.1...

How do animals walk stably in the presence of intrinsic noise or external perturbations?
biorxiv.org/content/10.1...
We lack a unified answer to this question across species. In this preprint, we find that legged species use a shared strategy for stable locomotion: foot placement control! (1/6)