Hugo Ninou
@hugoninou.bsky.social
150 followers 240 following 11 posts
I am a PhD student working at the intersection of neuroscience and machine learning. My work focuses on learning dynamics in biologically plausible neural networks. #NeuroAI
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hugoninou.bsky.social
🚨 Paper Alert! 🚨
1/n Thrilled to share our latest research, now published in Nature Communications! 🎉 This study dives deep into how the cerebellum shapes cortical preparatory activity during motor adaptation.
www.nature.com/articles/s41...
#neuroskyence #motorcontrol #cerebellum #motoradaptation
Cerebellar output shapes cortical preparatory activity during motor adaptation - Nature Communications
Functional role of the cerebellum in motor adaptation is not fully understood. The authors show that cerebellar signals act as low-dimensional feedback which constrains the structure of the preparator...
www.nature.com
hugoninou.bsky.social
Unable to access, but would love to read this ! Any full text link 👀?
Reposted by Hugo Ninou
leokoz8.bsky.social
Big week for astrocyte research: 3 new Science papers link astrocytes to behavior. We're excited to add to the momentum with our new PNAS paper: a theory, grounded in biology, proposing astrocytes as key players in memory storage and recall. w/ JJ Slotine and @krotov.bsky.social
(1/6)
Reposted by Hugo Ninou
fzenke.bsky.social
1/6 Why does the brain maintain such precise excitatory-inhibitory balance?
Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning.
www.biorxiv.org/content/10.1...
led by @jrbch.bsky.social
hugoninou.bsky.social
9/9
A huge thank you to my co-first author @SharonIsraely and @OriRajchert, @LeeElmaleh, @RanHarel, @FirasMawase,
@kadmonj.bsky.social , and @yifatprut.bsky.social ut.bsky.social for their invaluable contributions and support throughout this journey. 🙏
Bluesky
ut.bsky.social
hugoninou.bsky.social
8/n
1️⃣ Our study provides new insights into how cerebellar signals constrain cortical preparatory activity, promoting generalization and adaptation.
2️⃣ We demonstrate that in the absence of cerebellar signals, cortical mechanisms are harnessed to restore adaptation, albeit with reduced efficiency.
hugoninou.bsky.social
7/n
⚫ The increased dimensionality under HFS was accompanied by a decrease in generalization performance, both at the neural and behavioral levels.
e Cross condition generalization performance relative to chance level (0.5) calculated for Control (blue) or HFS (red) conditions. Each dot represents a pair of dichotomies with shared symmetries (e.g., top-down dichotomy on left targets and top-down dichotomy on right targets). Diamonds represent the average CCGP over all dichotomies. f Quantification of generalization across all sessions, calculated for early (1–5) and late (>= 10) trials in the FF (blue) and HFS (red) conditions (n samples 4 and 35 for early and late FF trials respectively, and 4 and 30 samples for early and late FF- HFS trials. Data are presented as mean values ± SEM.
hugoninou.bsky.social
6/n
⚫ HFS led to higher dimensionality in neural activity, indicating a loss of structure in the neural representations, which is crucial for efficient motor learning and adaptation.
a Dimensionality of neural activity estimated by the participation ratio (see Methods) at different epochs (blue bars: conrol, red: HFS). Asterisks denote signifcant differences in dimensionality (Dpca) during control vs. HFS conditions (resampling test with n = 1000, p < 0.01) d Illustration depicting the effects of the topology of the neural representation.
hugoninou.bsky.social
5/n
⚫ This compensation involved an angular shift in neural activity, suggesting a "re-aiming" strategy to handle the force field in the absence of cerebellar control.
e Polar histograms of the neural angles calculated for one monkey (monkey S) by aggregating data from all cued targets and trials in the control FF conditions with the same forcefield direction (left: clockwise CW trials, right: counter-clockwise CCW trials). f Same as (e) but during FF combined with HFS (FF-HFS).
hugoninou.bsky.social
4/n
⚫ Under high-frequency stimulation (HFS), we observed a bigger difference between FF and null field (NF) neural activity, indicating a compensatory mechanism in the motor cortex to adapt to the perturbation.
c Decoding accuracy of adaptation conditions (NF vs. FF) based on epoch-specifc data for the control (blue bars) or HFS (red bars). Dashed line denotes chance level (0.5). Decoding accuracy values were obtained for different training and testing sets.
hugoninou.bsky.social
3/n
⚫ Under high-frequency stimulation (HFS), neural activity was altered in both a target-dependent and independent manner, showing that cerebellar signals contain task-related information.
f, g Effects of HFS on coordinated neural activity, calculated to a data set with reach to 8 targets for both control and HFS conditions (see Methods). PCA was performed in a similar manner as in (d, e), concatenating control (solid) and HFS (dashed) data (explained variance: PC1:0.2; PC2: 0.16; PC3: 0.1; PC4: 0.07; PC5: 0.07). f PC1 and PC2 g PC1 and PC3. h PC1 and PC5. PC4 did now show HFS dependent difference.
hugoninou.bsky.social
2/n 🔍 Key Findings:

⚫ Cerebellar Block Impairs Adaptation: Blocking cerebellar outflow thanks to high-frequency stimulations (HFS) in the superior cerebellar peduncle significantly impairs force field (FF) adaptation, leading to increased motor noise and reduced error sensitivity.
c Single-session motor noise was estimated by calculating the mean absolute deviation (MAD) of maximal deviations during HFS trials and plotting against the motor noise calculated during the matching control sessions (n = 191). Darker dots (n = 91) indicate sessions where the motor noise under HFS was comparable to the motor noise level during the control trials (i.e., HFS/Control ratio >0.6 and <1.4). d Mean error sensitivity ±SEM calculated for a subset of adaptation sessions (n = 91), for which the pre-adaptation noise level was comparable during FF (blue) and FF-HFS (red) conditions (i.e., highlighted sessions in c).
hugoninou.bsky.social
🚨 Paper Alert! 🚨
1/n Thrilled to share our latest research, now published in Nature Communications! 🎉 This study dives deep into how the cerebellum shapes cortical preparatory activity during motor adaptation.
www.nature.com/articles/s41...
#neuroskyence #motorcontrol #cerebellum #motoradaptation
Cerebellar output shapes cortical preparatory activity during motor adaptation - Nature Communications
Functional role of the cerebellum in motor adaptation is not fully understood. The authors show that cerebellar signals act as low-dimensional feedback which constrains the structure of the preparator...
www.nature.com
Reposted by Hugo Ninou
jbarbosa.org
Created a starter pack of neuroscience in/from Paris.

Let me know if you want to be added (the 'from' can include those not in Paris anymore) or just tap in if you want to know what we're talking about!

Regardless, please re-tweet!

go.bsky.app/3Zs9w5w
Reposted by Hugo Ninou
agreco.bsky.social
For the Blueskyers interested in #NeuroAI 🧠🤖,
I created a starter pack! Please comment on this if you are not on the list and working in this field 🙂

go.bsky.app/CscFTAr
hugoninou.bsky.social
🧠🙋‍♂️