A fun Q and A that @mkashefi.bsky.social and I contributed to for @natcomms.nature.com along with Friston, @annechurchland.bsky.social, and others. www.nature.com/articles/s41...
Posts by Mehrdad Kashefi
While humans spontaneously dance to a beat, the evolutionary origins of this ability remain debated. Behavioral work has shown that primates can move to auditory rhythms after training.
Our question was: How does this association emerge in the brain?
www.biorxiv.org/content/10....
This week's sensorimotor superlab reading list is out https://superlab.ca/posts/2025-12-19-list316.html @andpru.bsky.social @diedrichsenjorn.bsky.social @gribblelab.org #neuroskyence #psychscisky #Sensorimotor
Are you interested in a MSc/PhD in human sensorimotor neuroscience? Learn to design experiments, analyze data, read & write papers, present at conferences, & work with a vibrant group of students & faculty in a world-class research environment.
#neuroskyence #psychscisky
gribblelab.org/join.html
0/7 Excited to 📢 that our (@mkashefi.bsky.social @diedrichsenjorn.bsky.social @andpru.bsky.social) new preprint on sequence preparation and its effect on reaction time is now up: www.biorxiv.org/content/10.1...
Please get in touch if there is anything you'd like to discuss! Brief summary 🧵👇
Thanks Jon!
The neural control & computation lab is recruiting!
If you're interested in using large-scale neural population recordings to study how the brain learns to produce complex and flexible behaviours, please get in touch.
www.ncclab.ca
This week's sensorimotor superlab reading list is out https://superlab.ca/posts/2025-09-12-list303.html @andpru.bsky.social @diedrichsenjorn.bsky.social @gribblelab.org #neuroskyence #psychscisky #Sensorimotor
Variance partitioning is used to quantify the overlap of two models. Over the years, I have found that this can be a very confusing and misleading concept. So we finally we decided to write a short blog to explain why.
@martinhebart.bsky.social @gallantlab.org
diedrichsenlab.org/BrainDataSci...
New preprint from the lab! 🧠
Led by Juliana Trach, w/ Sophia Ou
Using fMRI, we discovered evidence for time-sensitive reward prediction errors (RPEs) in the human cerebellum.
Builds on, and extends, recent work in both rodents and NHPs
Exited to share tomorrow new updates on trying to figure out how the neocortex and cerebellum talk to each other. Work by @carobellum.bsky.social, Ali Shabazi, and others in the lab!
Thanks Josh!
Thanks Mahdiyar!
Thanks Harrison!
Thanks for reading 🙏 The paper also covers recordings from SMA, pre-SMA, dlPFC & GPi.
Full details here ⬇️ www.biorxiv.org/content/10.1...
10/10
Conclusion: Motor cortex dynamics are compositional. They simultaneously:
- generate movement
- maintain an internal representation of posture
- track task progress
9/10
Modeling: Using modular RNNs, we asked what’s required for this compositional structure to emerge. It turns out this solution is common whenever the effector is complex enough to demand posture-dependent control policies. 8/10
3️⃣ A condition-independent shift dimension: a trajectory reflecting trial progression, unfolding similarly across all movements, regardless of direction or posture. 7/10
2️⃣ Rotational dynamics: transitions linking posture-specific fixed points.These rotations were systematic—similar rotations produced similar reach directions—and their projection continuously updated posture. 6/10
Key finding: High-density recordings from M1 & PMd revealed a compositional neural geometry with 3 components. 1️⃣ A posture subspace: fixed points for each target, visited whenever the arm rested at that location before or after a reach. 5/10
Our approach: We trained monkeys to reach between all pairs of 5 targets. Each target was a start point on some trials and an end point on others. This design let us dissociate posture representations from movement dynamics. 4/10
Why this problem exists: Most insights come from center-out tasks, where all movements start from one spot. Here, reach direction and final posture are always correlated—making it impossible to separate movement dynamics from posture encoding. 3/10
The problem: Moving your arm to grab coffee requires different muscle commands depending on where your arm starts. We know the brain must incorporate posture when planning movement—but how neural dynamics achieve this remains unclear. 2/10
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
Thanks! This is highly relevant to our work.
If this doesn't solve the issue send me an email. Happy to chat more about it!
If that were the case, I would expect this representation to transfer across effectors—especially when the visual sequence remains identical. However, this isn’t what we observe in our data (see Experiment 2 in the paper).
Hi Alfred Nobel! Thanks for your interest! If I understand you correctly, you're suggesting that participants might form a purely cognitive representation of the sequence "shape."
We're excited to share our new paper: “cTBS of prefrontal cortex in the behaving macaque: no evidence for within-target inhibition or cross-hemisphere disinhibition of neural activity”
tinyurl.com/cTBSPFCNHP
w/ @brian-corneil.bsky.social
What did we find? Mostly... what we didn’t! 🧵