New preprint out 🎉 What happens to the hippocampal “place code” when an animal is actively engaged in a task? The answer surprised us (and might surprise you too!). Let's dive in ⬇️ Link: "Hippocampal trace coding dominates and disrupts place coding" www.biorxiv.org/content/10.6...

🧪🧠 New preprint: helping resolve a decades-long debate in synaptic plasticity NMDA receptors are central to Hebbian learning. Yet for >30 years, the existence and function of presynaptic NMDA receptors have remained controversial. 📄 doi.org/10.64898/202... 1/6

New paper out at PNAS: www.pnas.org/doi/10.1073/... Revisiting the high-dimensional geometry of population responses in the visual cortex with @jpillowtime.bsky.social. The review took forever because a reviewer was doubtful our new estimator can infer eigenvalues beyond the rank of the data! (1/6)

Are you thinking about doing neuroscience outreach but want to make it more exciting or hands on? Check out RetINaBox! (A collab led by the Trenholm lab) We tried to bring the experience of experimental neuroscience to a classroom setting: www.eneuro.org/content/13/1... #neuroscience 🧪

Whoaaa!! This is a fantastic effort, and an amazing resource. Huge congratulations to the authors! 🎉

Last day of poster sessions and presentations at @neuripsconf.bsky.social. Full schedule featuring Mila-affiliated researchers presenting their work at #NeurIPS2025 here mila.quebec/en/news/foll...

In San Diego attending #NeurIPS2025? Come to our poster to talk more about representation geometry in LLMs. 😃 🗓️ Friday 4:30-7:30 pm session 📍 Exhibit Hall C, D, E 🏁 Poster # 2502

(1/n) We are excited to share our new paper in Nature Communications, by Hagar Lavian (@hlavian.bsky.social) and team, revealing how the zebrafish brain integrates visual navigation signals! www.nature.com/articles/s41...

1/ Why does RL struggle with social dilemmas? How can we ensure that AI learns to cooperate rather than compete? Introducing our new framework: MUPI (Embedded Universal Predictive Intelligence) which provides a theoretical basis for new cooperative solutions in RL. Preprint🧵👇 (Paper link below.)

Population coding 🙌

How I contributed to rejecting one of my favorite papers of all times, Yes, I teach it to students daily, and refer to it in lots of papers. Sorry. open.substack.com/pub/kording/...

This is an excellent blueprint on a very fascinating use of AI scientist! And the results and super cool and interesting! 🤩 I have been asked this when talking about our work on using powerlaws to study representation quality in deep neural networks, glad to have a more concrete answer now! 😃

Conrad Hal Waddington was born OTD in 1905. His “epigenetic landscape” is a diagrammatic representation of the constraints influencing embryonic development. On his 50th birthday, his colleagues gave him a pinball machine on the model of the epigenetic landscape. 🧪 🦫🦋 🌱🐋 #HistSTM #philsci #evobio

I’m looking for interns to join our lab for a project on foundation models in neuroscience. Funded by @ivado.bsky.social and in collaboration with the IVADO regroupement 1 (AI and Neuroscience: ivado.ca/en/regroupem...). Interested? See the details in the comments. (1/3) 🧠🤖

A tad late (announcements coming) but very happy to share the latest developments in my previous preprint! Previously, we show that neural representations for control of movement are largely distinct following supervised or reinforcement learning. The latter most closely matches NHP recordings.

LLMs are trained to compress data by mapping sequences to high-dim representations! How does the complexity of this mapping change across LLM training? How does it relate to the model’s capabilities? 🤔 Announcing our #NeurIPS2025 📄 that dives into this. 🧵below #AIResearch #MachineLearning #LLM

Very cool study, with interesting insights about theta sequences and learning!

Together with @repromancer.bsky.social, I have been musing for a while that the exponentiated gradient algorithm we've advocated for comp neuro would work well with low-precision ANNs. This group got it working! arxiv.org/abs/2506.17768 May be a great way to reduce AI energy use!!! #MLSky 🧪

This looks like a very cool result! 😀 Can't wait to read in detail.

Fantastic work on Multi-agent RL from @dvnxmvlhdf5.bsky.social & @tyrellturing.bsky.social! 🤩

Our team is hiring in Zurich! www.google.com/about/career...

Also, big shoutout to @quentin-garrido.bsky.social+gang and @aggieinca.bsky.social+gang for developing Rankme and Lidar, respectively. Reptrix incorporates these representation quality metrics. 🚀 Let's make it easier to select good SSL/foundation models. 💪

Are you training self-supervised/foundation models, and worried if they are learning good representations? We got you covered! 💪 🦖Introducing Reptrix, a #Python library to evaluate representation quality metrics for neural nets: github.com/BARL-SSL/rep... 🧵👇[1/6] #DeepLearning

Super cool paper! It formalizes a lot of ideas I have been mulling over the past year, and connects tons of historical ideas neatly. Definitely worth a read if you are working/interested in mechanistic interp and neural representations.

Just over a week since I defended my 🤖+🧠PhD thesis, and the feeling is just sinking in. Extremely grateful to @tyrellturing.bsky.social for supporting me through this amazing journey! 🙏 Big thanks to all members of the LiNC lab, and colleagues at mcgill University and @mila-quebec.bsky.social. ❤️😁

Just giving this a boost for those who may not have seen it yet... we have a PI position (molecular and cellular basis of cognition) at The Hospital for Sick Children (Toronto). The position comes with an appointment at Assist/Assoc Prof level at U of T. Share widely! can-acn.org/scientist-se...

Come say hi at the noon poster session today in the East hall, poster #2201. 🚀 #NeurIPS2024

The problem with current SSL? It's hungry. Very hungry. 🤖 Training time: Weeks Dataset size: Millions of images Compute costs: 💸💸💸 Our #NeurIPS2024 poster makes SSL pipelines 2x faster and achieves similar accuracy at 50% pretraining cost! 💪🏼✨ 🧵 1/8

Learning by reconstruction captures uninformative details in your data. This “attention to details” biases the ViT’s attention. Our solution: a new token aggregator->improves (significantly) MAE linear probe perf. and (slightly) JEPAs like I-JEPA arxiv.org/abs/2412.03215

Delighted to be in Leeds joining the School of Computing! Fantastic first impressions — like a "less offensive London" (youtu.be/watch?v=_6_VVLgrgFI). Stay tuned for a PhD position starting next October. Meanwhile, drop me a message with your CV and research interests—I'd love to hear from you!

What's your favourite way to merge two (or more) bibtex files? I want to merge bibtex files from two different papers without having to manually get rid of repeated entries. Even better if there's some browser/web tool that does it. :)

Thanks for the kind words!! ☺️ I cannot say enough about how grateful I am to be in @tyrellturing.bsky.social's lab. Absolutely fantastic mentor, great members, inspiring science and discussions. 🥹 🚀

Looking for PhD/postdoc positions at the intersection of #AI and #compneuro? @repromancer.bsky.social is an excellent scientist and an awesome mentor! 🚀

One of the most exciting projects I have been part of. Really excited that this is now out! 🤩 Extremely grateful to @repromancer.bsky.social for roping me in for the ride! 🙏 It is indeed a great time to be in #NeuroAI, can't wait to see how recent advances shape the fields of #compneuro and #AI