Wanna do neuroscience in Paris but can't find interesting lab?

Want to come do a sabbatical but don't know who to collaborate?

Check this webpage aggregating ~all the neuroscience labs (+200) in Paris.

⚠️only the information of 'verified' profiles is reliable⚠️

Please retweet 🙏

parisneuro.fr

Great summary, thanks for writing this!

One nit, we started the 'core' merely as a shared feature space for (translation invariant) visual neurons*. Simple idea, not to be conflated with all the 'foundation model' and 'digital twin' marketing later 😜

* proceedings.neurips.cc/paper/2017/f...

🔹 2e atelier du 24-27 février 2026 : Les bases mécanistiques du raisonnement (dans le cerveau et l’IA) ivado.ca/evenements/l... @scychan.bsky.social @alexiajm.bsky.social @david-klindt.bsky.social @neuroai.bsky.social @ninoscherrer.bsky.social @claires012345.bsky.social @hidenori8tanaka.bsky.social

Simultaneous detection and estimation in olfactory sensing www.biorxiv.org/content/10.1101/2025.11....

Brown University Rejects White House Deal for Special Treatment

So proud of my alma mater! Awesome.

www.nytimes.com/2025/10/15/u...

So I get that a Neuroscientist Couldn’t Understand a Microprocessor, and TBH I’m ok with that. But could a neuroscientist understand a deep RNN? Because that seems like a more pressing issue.

*assuming you think the brain operates through the parallel activity of many connected input/output units

A study led by Cina Aghamohammadi is now out in ‪@natcomms.nature.com‬! We developed a mathematical framework for partitioning spiking variability, which revealed that spiking irregularity is nearly invariant for each neuron and decreases along the cortical hierarchy.
www.nature.com/articles/s41...

Over the past year, my lab has been working on fleshing out theory + applications of the Platonic Representation Hypothesis.

Today I want to share two new works on this topic:

Eliciting higher alignment: arxiv.org/abs/2510.02425
Unpaired learning of unified reps: arxiv.org/abs/2510.08492

1/9

Superposition disentanglement of neural representations reveals hidden alignment The superposition hypothesis states that a single neuron within a population may participate in the representation of multiple features in order for the population to represent more features than the ...

Superposition has reshaped interpretability research. In our @unireps.bsky.social paper led by @andre-longon.bsky.social we show it also matters for measuring alignment! Two systems can represent the same features yet appear misaligned if those features are mixed differently across neurons.

retweeting because this needs a multiplier.

🚨Big news!🚨
The lab is relocating to Lisbon, joining a great team of experimental and theoretical neuroscientists, and the Neurotechnology Warehouse, a new initiative to bridge basic and translational research.

I'll be sharing postdoc openings soon. Come join us in this new incarnation of the lab!

UniReps Workshop Unifying Representations in Neural Models

Join us for the 3rd edition of the UniReps Workshop at #NeurIPS2025! 🧠🤖

We're bringing together researchers from #AI, #Neuroscience, and #CogSci to explore why different neural models learn similar representations.

📝 Call for Papers is OPEN on OpenReview!
🌐 Website: unireps.org/2025/

📢 We're thrilled to announce that the UniReps workshop will return to @NeurIPSConf 25 for its 3rd edition!

🔵Check our new Call for Papers at: unireps.org/2025/call-fo...

🔴Submit your work at: openreview.net/group?id=Neu...

See you in San Diego!🌴🇺🇸

Simons Collaboration on Ecological Neuroscience The mission of the Simons Collaboration on Ecological NEuroscience (SCENE) is to understand how affordances offered by the world shape representations in the mind and the brain.

Delighted to see our new collaboration on ecological neuroscience 🧩🌿🧠 announced today! A huge ❤️🙏🏼 to @simonsfoundation.org

I’m so excited by this theory-driven question. It’s core to our research on adaptive intelligence & sensorimotor systems 🙌 #SCENE

www.simonsfoundation.org/2025/04/24/s...

I am also surprised, maybe an effort to privatise AI research?

➕ Bonus: Theory can explain the “Platonic Representation Hypothesis”—the striking observation that different models often learn the same representations.

arxiv.org/abs/2405.07987

With the right assumptions (hopefully not too 🧚‍♀️), you get a rigorous mathematical explanation for why this happens 🤓

So—does this mean theory is doomed, and AI engineering is just a random walk? Not at all!

💡 @rpatrik96.bsky.social @wielandbrendel.bsky.social Randall Balestriero did an amazing job clarifying where theory can help practice—and where practice should inspire theory.

🤝

In Theory fairyland:
Infinite data, models converge globally, latents on the right manifold, with the right statistics... 🧚

In Practice:
Noise, Batch size, learning rate, data augmentations, inductive biases, did I mention noise? & all the gritty stuff that actually matters 🛠️

(We still 💙 theory.)

An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Self-Supervised Learning (SSL) powers many current AI systems. As research interest and investment grow, the SSL design space continues to expand. The Platonic view of SSL, following the Platonic Repr...

🚨 New paper on the limits of identifiability theory!

Mathematical guarantees for neural representations are thrilling—especially in a field driven by trial and error.

But sometimes theory lives in "fairyland" ...

👉 arxiv.org/abs/2504.13101

What about any old system identification paper that shows how predictive performance goes up as a function of data?Not sure it fits the bill of scaling law and foundation model, but it shows pretty much the same thing 🤓

Wow this is really cool, especially since the sensors are so close; and awesome to see the downstream effect on head direction coding

A Perspective from the Ecker lab discusses the progress and challenges of using computer vision approaches for behavior studies of primates in natural environments.

www.nature.com/articles/s41...

Come do cool BCI experiments with wellcome trust fellow Mostafa!

Amazing work! I dreamt about getting this to work at such scale and predicting anatomical cell types from functional data ever since we wrote the what/where readout paper 🤩

The MICrONS Project An unprecedented dataset of high resolution anatomical images of individual cells in mouse visual cortex, mapped on to their responses. This integrated view of function and structure lays a foundation...

After 7 years, thrilled to finally share our #MICrONS functional connectomics results!

We recorded activity from ~75K neurons in the visual cortex of a single mouse, then mapped its wiring using electron microscopy.

nature.com/immersive/d42859-025-00001-w/index.html

Tree Style Tab - Chrome Web Store A tree style tab navigator

have you tried something like chromewebstore.google.com/detail/tree-...

📣 Grad students and postdocs in computational and theoretical neuroscience: please consider applying for the 2025 Flatiron Institute Junior Theoretical Neuroscience Workshop! All expenses are covered. Apply by April 14. jtnworkshop2025.flatironinstitute.org

👀

We're bringing together leading researchers from top institutions worldwide to Split, Croatia this summer. If you're passionate about brain-inspired AI, computational neuroscience, or fundamental mathematical principles driving intelligence, this conference is the place to be!

Going to #Cosyne2025?

Join us (w/ @mdiamantaki.bsky.social) for our exciting workshop

Object-centric Neuronal Representations

toliaslab.org/workshop/cos...

Featuring diverse species💁‍♀️🐒🐁🐝🕷️🤖

Our goal: Discuss universal & species-specific principles of object-centric vision

See you in Montreal🥳