How can the brain learn the hidden hierarchical structure from high dimensional data? In our latest work, we use synthetic datasets to analyze two classes of bio-plausible learning rules: variants of Direct Feedback Alignment, and local self-supervised learning. We find only the latter succeeds.

Accepted at ICML 2026. I am extremely proud of this work. Local learning is starting to work really well! The theoretical perspective of local learning minimizing an emergent global objective has been eye opening Congrats @zihan-wu.bsky.social and Ariane Delrocq! Great team

🏹 Job alert: Post-doctoral Fellowship in Neuroimaging at IMT Atlantique 📍 Brest 🇫🇷 ⏰ 17 July 🔗 https://bit.ly/4xk2Ljy

New job posting! If you're interested in working with our group, check it out. 3 year position (with possibility to extend) at >100k. alleninstitute.org/careers/jobs...

Excited to share our new paper accepted at ICML 2026 with @tyrellturing.bsky.social and Doina Precup! 🇰🇷 See you in Seoul. A major challenge in continual reinforcement learning is balancing: • plasticity (learning new things) • stability (not forgetting old ones) 🧵 1/15

We have a new postdoc position to work on Neuro AI and human intracranial recording with Pierre Bourdillon and I: Apply here: docs.google.com/forms/d/e/1F... Lab info: bourdillon-titan-lab.fr feel free to RT ;)

I‘m looking for postdoc candidates in computer vision and control theory (2 positions). Get in touch if you’re interested.

Prestige bias is a major problem in academia: success in academia leads to other unfair advantages. Prestige bias is bigger in fields that are less scientific (eg., art, history). Fields where claims are more testable have lower prestige markers (eg math, physics). kurtishingl.com/files/PTTS_l...

this is such a powerful way to support the international neuroscience community, and a massively rewarding experience and great line on your CV to boot. please join us!

Alireza Modirshanechi, Benjamin Eysenbach, Peter Dayan, Eric Schulz: Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization https://arxiv.org/abs/2605.06145 https://arxiv.org/pdf/2605.06145 https://arxiv.org/html/2605.06145

I don't think our culture is ready for accepting this idea, and probably some percentage of humans never will be. My guess: hundreds of years from now a majority will agree with this, but many still won't, and it will correlate with religion and education. (See, e.g., Darwinian evolution) 🧠📈 🧪

1/7 New paper accepted as ICML spotlight arxiv.org/abs/2605.03517! We unify self-supervised learning (SSL) algorithms (e.g., contrastive, VICReg, stopgrad) via latent distribution matching (LDM), which matches an induced latent distribution to an explicit latent model.

For those interested in normalized gradient methods and optimal transport: I introduce a new class of "spectral" Wasserstein distances for which spectrally normalized gradient descent (Muon but without momentum and small step size ...) is a spectral-W gradient flow: arxiv.org/abs/2604.04891

"The Brain, In Theory" is out today! A short excerpt in The Transmitter @thetransmitter.bsky.social www.thetransmitter.org/theoretical-...

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

🧠👩‍🎓 Would you like to study #CompNeuro in Berlin? You can still enrol in the International Master Program Computational Neuroscience at the #BCCNBerlin for an October start -- the deadline has been extended to April 15! Find more information here 👉 bit.ly/4c1h5na #BernsteinNetwork #Neuroskyence

The arXiv is becoming a nonprofit separate from Cornell, and they're looking for a CEO. Please repost to let good candidates know! @dabacon.tachyon.institute, @harrowing.bsky.social, @michaelnielsen.bsky.social jobs.chronicle.com/job/37961678...

I just made an account and voted for this biology laboratory made of LEGO to "promote biological research and inspire more people into the world of biology". They need 10K votes. Reposting and/or voting below would be helpful. 🤗 beta.ideas.lego.com/product-idea...

Episode #38 in #TheoreticalNeurosciencePodcast: On extracting spiking network models from experiments - with Richard Gao @rdgao.bsky.social theoreticalneuroscience.no/thn38 How to fit spiking network models to experimental data when there is no unique parameter set giving the best fit.

Very refreshing interaction with the undergrad student form India @kaurarmanjot445.bsky.social ! 🧪 🧠 She was interested in our math equivalence between spike timing and deep relu nets With a short call and few emails she reproduced the work and open sourced a turorial github.com/kaurarmanjot...

🚨 🔬 PhD positions at Google DeepMind in France 🇫🇷 We are advertising Master Level Intern positions at Google DeepMind within our Frontier AI Unit. These could lead to co-advised PhD positions with Google DeepMind and French academic institutions. job-boards.greenhouse.io/deepmind/job...

If you work at the intersection of computational neuroscience and machine learning, consider applying for this postdoc position (January 2027 start date): academicpositions.harvard.edu/postings/15868 An opportunity to work with a great group of people across Harvard, MIT, and UC Berkeley.

PhD Alert! We’re recruiting for a new, fully-funded #Neuroskyence PhD studentship to model multiple sclerosis in vitro, combining immunology with ephys. Led by the awesome @juliae.bsky.social Please repost. www.findaphd.com/phds/project...

Summer school on Neuro AI in Cambridge. Registration Deadline: 16 Feb 2026 Speaker line up: G. Bellec A. Billard R. Bogacz R. Ponte Costa W. Gerstner M. Giugliano L. Hunt M. Sahani P. Series P. Tino www.fens.org/news-activit...

I highly recommend this postdoc position in Paris. Joao is amazing and it's a unique opportunity to do serious computational/ML analysis with human brain recordings in vivo. 🧪 🧠

These days I drink Iranian tea everyday so I don't forget. Media coverage of these events have been very poor in my internet bubble so far.

Come join us for this first worshop of a three part series on the computational ingredients of reasoning in minds and AI. Reasoning is a complex term, especially in light of an exploding category of methods in LLMs. These workshops will explore reasoning’s multiple facets.

I always have an issue with self proclaimed "foundation models in X". A key defining feature of a foundation model is adoption by a community of users. If nobody has built on top of it. It's no foundation

Neuromorphic camera for neural recordings 🤩🤩 So spiking cameras enabling sub millisecond optical imaging. Potentially enabling to record... Spikes? 🐸 Science history is just so ironic sometimes (50 years to close the loop)

The kind of concept you hear once and you never forget. If you know what the electrode records. You know what it stimulates.

Applications are open for the 2026 Paris Spring School of Imaging and Electrophysiology! It’s a great way to discover Paris (❤️) while learning a pretty wide range of techniques for neuroscience, in a fantastic environment. Share widely: parisneuro.ovh

Sequences are everywhere! In every brain region. And are written in stone. Invariant Activity Sequences Across the Mouse Brain. Out today, by Célian Bimbard, with @kenneth-harris.bsky.social. Based on data by Célian and by @intlbrainlab.bsky.social. www.biorxiv.org/content/10.6...

Very important

This report in Nature on the costs of competing for & administering scientific grants is shocking: "In other words, European taxpayers will have spent more on the funding process than on the funding itself, and the scientific ecosystem has been drained." www.nature.com/articles/d41... 🧪

🔬 We're hiring a Junior Group Leader for Data-Driven Digital Twins/System Models in medicine/life sciences at @uni_goettingen! Perfect opportunity for early-career researchers who want to: - Lead their own research group - Work at the intersection of AI, simulation, and biomedicine

Our paper on data constrained RNN that generalize to optogenetic perturbations now citable on eLife: doi.org/10.7554/eLif...

We should just use standardized test scores + grades to admit students into college. Everything else is way too easy to game, allowing the extremely rich to dominate access to prestigious colleges. www.nytimes.com/interactive/... I've been saying this for a long time, but the data makes it clear.

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.)

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/...

The big AI labs continue to be infuriatingly opaque about the actual figures for their total electricity and water consumption The best report I have seen from them so far is this one from Mistral in July, but it still left unanswered questions for me simonwillison.net/2025/Jul/22/...

I am impressed by the improvement with Gemini 3 and nano 🍌. I used nano banana to make scientific figures. With 2.5 it was repetitively putting a human brain inside the 🐭 head. Now it draws an accurate mouse brain anatomy even seems to locate correctly the cortical areas. Big jump imo

Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al. Paper: www.nature.com/articles/s41...

Whoopsy

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) 🧠🤖

Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan 🧠💬 1/n

Reminder this is happening this Wed/Thu. Free spiking neural network conference - registration required (see below).

This was a fabulous, once in a lifetime colloquium -- and now the videos are available in high quality on the College de France web site @college-de-france.fr www.college-de-france.fr/fr/agenda/co... With talks by Edvard Moser, Nancy Kanwisher, Liz Spelke, Manuela Piazza, Luca Bonatti and more!

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

#EPFL has an open faculty position - tenure track or tenured!! - in AI driven biophysics. Deadline is Nov 15th. Please spread the word! www.epfl.ch/about/workin...

New #NeuroAI preprint on #ContinualLearning! Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple'). We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)