Valentin Schmutz
@bio-emergent.bsky.social
930 followers 680 following 25 posts
Theoretical Neuroscientist | 🔎 Emergent neural population dynamics | Postdoc in Carandini-Harris lab at UCL | PhD from Gerstner lab at EPFL https://tinyurl.com/yrxws43r
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bio-emergent.bsky.social
🎉 "High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model" will be presented as an oral at #NeurIPS2025 🎉

Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models.

www.biorxiv.org/content/10.1...
1/2
Reposted by Valentin Schmutz
neural-reckoning.org
Message for participants of the #SNUFA 2025 spiking neural network workshop. We got almost 60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. Follow the "abstract voting" link at snufa.net/2025/ to take part. It should take <15m. Thanks! ❤️
SNUFA 2025
Spiking Neural networks as Universal Function Approximators
snufa.net
Reposted by Valentin Schmutz
modirshanechi.bsky.social
New in @pnas.org: doi.org/10.1073/pnas...

We study how humans explore a 61-state environment with a stochastic region that mimics a “noisy-TV.”

Results: Participants keep exploring the stochastic part even when it’s unhelpful, and novelty-seeking best explains this behavior.

#cogsci #neuroskyence
bio-emergent.bsky.social
Big shout out to co-authors Ali Haydaroğlu @haydari.bsky.social (co-first), Shuqi Wang @shuqiw.bsky.social, Matteo Carandini
@carandinilab.net, and Kenneth Harris
@kenneth-harris.bsky.social

Looking forward to meeting you in San Diego 🌴
2/2
bio-emergent.bsky.social
🎉 "High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model" will be presented as an oral at #NeurIPS2025 🎉

Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models.

www.biorxiv.org/content/10.1...
1/2
Reposted by Valentin Schmutz
neural-reckoning.org
Submissions (short!) due for SNUFA spiking neural networks conference in <2 weeks! 🤖🧠🧪

forms.cloud.microsoft/e/XkZLavhaJe

More info at snufa.net/2025/

Note that we normally get around 700 participants and recordings go on YouTube and get 100s-1000s views.

Please repost.
SNUFA 2025
Spiking Neural networks as Universal Function Approximators
snufa.net
bio-emergent.bsky.social
Westlake University (西湖大学), a few hours before the start of this year's Summer School on Mathematical Neuroscience
its.westlake.edu.cn/info/1017/28...
Reposted by Valentin Schmutz
gerstnerlab.bsky.social
Is it possible to go from spikes to rates without averaging?

We show how to exactly map recurrent spiking networks into recurrent rate networks, with the same number of neurons. No temporal or spatial averaging needed!

Presented at Gatsby Neural Dynamics Workshop, London.
From Spikes To Rates
YouTube video by Gerstner Lab
youtu.be
Reposted by Valentin Schmutz
juangallego.bsky.social
🚨New paper🚨

Neural manifolds went from a niche-y word to an ubiquitous term in systems neuro thanks to many interesting findings across fields. But like with any emerging term, people use it very differently.

Here, we clarify our take on the term, and review key findings & challenges rdcu.be/ex8hW
Reposted by Valentin Schmutz
timothysit.bsky.social
Glad to see my PhD work out! Thanks to all my collaborators and to Kenneth and Matteo for making this possible!
carandinilab.net
A new study led by @timothysit.bsky.social reveals that different layers of mouse V1 integrate visual and non-visual signals differently.

Activity is dominated by vision (or spontaneous fluctuations) in L2/3 and by movement in L5. This leads to different geometries.
www.biorxiv.org/content/10.1...
Reposted by Valentin Schmutz
carandinilab.net
New by Agnès Landemard (@agnesland.bsky.social‬) & co

Brainwide blood volume reflects opposing neural populations

Brainwide fluctuations in blood volume arise from two populations with opposite relation to brain state and distinct relationships to blood supply

www.biorxiv.org/content/10.1...
Reposted by Valentin Schmutz
engeltatiana.bsky.social
Out today in @nature.com: we show that individual neurons have diverse tuning to a decision variable computed by the entire population, revealing a unifying geometric principle for the encoding of sensory and dynamic cognitive variables.
www.nature.com/articles/s41...
Reposted by Valentin Schmutz
dr-conehed.bsky.social
Our preprint is finally out! How can we understand the role of Behavioral Timescale Synaptic Plasticity in credit assignment? Does it fit into existing supervised and unsupervised learning frameworks? What theoretical gaps are still left unexplained?

www.biorxiv.org/content/10.1...
www.biorxiv.org
Reposted by Valentin Schmutz
juliefabre.bsky.social
🚀 We are excited to share that bombcell is now available in Python! 🐍 Automatically sort your units into good/MUA/noise/non-somatic using quality metrics and interpretable & adjustable classification thresholds.
pip install and play around with our toy dataset:
🔗 github.com/Julie-Fabre/...
GitHub - Julie-Fabre/bombcell: Automated quality control, curation and neuron classification of spike-sorted electrophysiology data
Automated quality control, curation and neuron classification of spike-sorted electrophysiology data - Julie-Fabre/bombcell
github.com
Reposted by Valentin Schmutz
avm.bsky.social
Interested in high-dim chaotic networks? Ever wondered about the structure of their state space? @jakobstubenrauch.bsky.social has answers - from a separation of fixed points and dynamics onto distinct shells to a shared lower-dim manifold and linear prediction of dynamics.
jakobstubenrauch.bsky.social
(1/3) How to analyse a dynamical system? Find its fixed points, study their properties!

How to analyse a *high-dimensional* dynamical system? Find its fixed points, study their properties!

We do that for a chaotic neural network! finally published: doi.org/10.1103/Phys...
Fixed point geometry in chaotic neural networks
Understanding the high-dimensional chaotic dynamics occurring in complex biological systems such as recurrent neural networks or ecosystems remains a conceptual challenge. For low-dimensional dynamics...
doi.org
Reposted by Valentin Schmutz
carandinilab.net
Delighted to join the Royal Society of London for Improving Natural Knowledge! It's been in the news since 1660, and more so lately. Grateful to all my collaborators over the years.
bio-emergent.bsky.social
Thanks a lot for your interest and for sharing your thoughts!
Reposted by Valentin Schmutz
carandinilab.net
Many of us use 2p scopes to image 3D volumes of brain. But then we analyze the data plane by plane, resulting in duplicated neurons, missed neurons, and low s/n. Let's go 3D!

Suite3D: Volumetric cell detection for two-photon microscopy
by @haydari.bsky.social & team.
www.biorxiv.org/content/10.1...
Reposted by Valentin Schmutz
maxime-beau.bsky.social
I am very proud to announce that my PhD paper finally came out in Cell! In this *very* collaborative study, we develop and release a deep-learning approach to predict neuron type identity from their electrical signature. doi.org/10.1016/j.ce... 1/16 🧵