I’m obviously biased, but this advice is 💯

I’m super excited to finally put my recent work with @behrenstimb.bsky.social on bioRxiv, where we develop a new mechanistic theory of how PFC structures adaptive behaviour using attractor dynamics in space and time! www.biorxiv.org/content/10.1...

I did a QA with Quanta about interpretability and training dynamics! I got to talk about a bunch of research hobby horses and how I got into them.

I think this miiight be the best feed for machine-learning news on Bluesky. It strikes a good balance between new/popular and whitelist/regex factors in the algorithm.

In 1981, my father brought home my first computer, a Texas Instruments 99/4A. He was convinced computing would change the world. As "What Is Intelligence?" arrives in bookstores today, I’m reminded of how right he was.

Je suis passé au balado RAD pour discuter de l'avenir de l'IA, des risques de la course actuelle dans le domaine, et de solutions pour une IA plus sécuritaire. Merci à @olivierarbourmasse.bsky.social et à l'équipe de RAD pour l'excellente conversation! www.youtube.com/watch?v=JxFI...

New preprint! How can you remember an image you saw once, even after seeing thousands of them? We find a role for humble mid-level visual cortex in high-capacity, one-shot learning. doi.org/10.1101/2025.09.22.677855 🧵🧪1/

1/4) I’m excited to announce that I have joined the Paradigms of Intelligence team at Google (github.com/paradigms-of...)! Our team, led by @blaiseaguera.bsky.social, is bringing forward the next stage of AI by pushing on some of the assumptions that underpin current ML. #MLSky #AI #neuroscience

All these videos of roboticists kicking and shoving their robots to show off their robust control … Not cool dudes, way too violent!

Excited to release the SPOT grid: a new image set that factorially crosses scene-object & texture-pattern pairings. We hope these stimuli will be useful to researchers aiming to (partially) disentangle the contributions of lower- and higher-level visual features to behavior & brain activity. 1/

🚨Our NeurIPS 2025 competition Mouse vs. AI is LIVE! We combine a visual navigation task + large-scale mouse neural data to test what makes visual RL agents robust and brain-like. Top teams: featured at NeurIPS + co-author our summary paper. Join the challenge! Whitepaper: arxiv.org/abs/2509.14446

New manuscript from the lab! "Mirror manifolds: partially overlapping neural subspaces for speaking and listening" Led by superstar grad student Anilu Chavez (not on Bluesky)! www.biorxiv.org/content/10.1...

Here are some useful basic neuroscience and computational neuroscience resources, many of them free.

It would be fun to map the network of inter-field connections created by quote posts here. For instance, here the chain starts with a psychologist describing how hard it is to operationalize "sleep"! It passes through comp. neurosci and is now being QTd by an info sci prof obsessed w/ benchmarks.+

This is a great thread, and I think it hits on one of the biggest challenges in neuroscience that I hope NeuroAI can impact. Until we can rigorously define what computations are occurring in the brain, we can't make any real progress in our functional understanding. We need constraints. 🧠🤖🧪

Great point. Benchmarking has become the name of the game in machine learning. You can effectively add to or subtract from the definition of intelligence by introducing a new benchmark or critiquing an existing one, and convince a significant portion of the community that you have a valid point.

Today, Canada recognises the State of Palestine.   My statement: www.pm.gc.ca/en/news/stat...

Ever wondered how Energy-Based Models (EBMs) work and how they differ from normal neural networks? ☕️ We go over EBMs and then dive into the Energy-Based Transformers paper to make LLMs that refine guesses, self-verify, and could adapt compute to problem difficulty.

Thrilled to see this work accepted at NeurIPS! Kudos to @hafezghm.bsky.social for the heroic effort in demonstrating the efficacy of seq-JEPA in representation learning from multiple angles. #MLSky 🧠🤖

We present our preprint on ViV1T, a transformer for dynamic mouse V1 response prediction. We reveal novel response properties and confirm them in vivo. With @wulfdewolf.bsky.social, Danai Katsanevaki, @arnoonken.bsky.social, @rochefortlab.bsky.social. Paper and code at the end of the thread! 🧵1/7

New preprint! What happens if you add neuromodulation to spiking neural networks and let them go wild with it? TLDR: it can improve performance especially in challenging sensory processing tasks. Explainer thread below. 🤖🧠🧪 www.biorxiv.org/content/10.1...

I wish this was a joke. I’d be super excited about massive scale egocentric data collection … if it weren’t Meta doing it.

How does the brain decide? 🧠 Our new @nature.com paper shows that neural activity switches from an 'evidence gathering' to a 'commitment' state at a precise moment we call nTc. After nTc, new evidence is ignored, revealing a neural marker for the instant when the mind is made up. rdcu.be/eGUrv

The recent pace of progress in interactive 3D generative models is 🤯

Started as prof at Université de Montréal in Jan 2023. My French level: bonjour + pointing. All admin emails: en français. ChatGPT dropped end of 2022. Do the math on how much I owe my survival to Chat and friends.

« Diverse calcium dynamics underlie place field formation in hippocampal CA1 pyramidal cells. » A fundamental study now published @elife.bsky.social elifesciences.org/reviewed-pre...

Has anyone written (or just have ideas about) the best way to approach modeling/theory when you're under-constrained by the data? Normative approaches seem like a possible obvious answer but even those need enough data about goals and constraints to be worth doing.

1/2 "For the first time we have different minds, not only ours but various LLMs that we can study. There is an urgent need to understand why they work as well as they do...Soon, it may be too late." Tomaso Poggio at the Simons Institute. Video: simons.berkeley.edu/talks/tomaso...

The cerebellum isn’t just about coordinating movement. It’s implicated in nearly every domain of cognition—from language to social behavior. But how exactly does the cerebellum contribute to action and cognition? 🧵 Check out our new paper w/ Rich Ivry. arxiv.org/abs/2509.09818

This has an interesting implication. People with scaling mindset are starting to realize that the existing AI is mostly human imitation (one way or another), so they’re playing it safer by imitating behaviors with better signal to noise ratio.

Might focused ultrasound one day replace DBS? UK Scientists built a 256-panel focused ultrasound helmet that can precisely target deep brain regions. Using theta-burst TUS, they stimulated the LGN and found visual cortex activity with effects lasting up to 40 minutes. #neuroskyence #ultrasound

Human intelligence is overrated and not a useful yardstick for AI - a polemic. markusmeister.com/2025/09/15/w...

We need new rules for publishing AI-generated research. The teams developing automated AI scientists have customarily submitted their papers to standard refereed venues (journals and conferences) and to arXiv. Often, acceptance has been treated as the dependent variable. 1/

The fact that it’s less likely to go viral here is definitely a feature.

Really good article on the tensions between Neuralink and the academic labs that created the field of BCI - where they are, how they got there, and how the commercialization and the research are diverging. Well done. Especially good if you're new to this and want an intro to the issues & history.

www.biorxiv.org/content/10.1... Representational Geometries of Perception and Working Memory: A Pilot Study Tomoya Nakamura's first fMRI project ... in which we hereby release a preprint as a way of pre-registration 🧠📈

🪰 How do dozens of tiny fly muscles cooperate to move a leg? We’re excited to share the first 3D, data-driven musculoskeletal model of Drosophila legs based on Hill-type muscles, running in OpenSim and MuJoCo simulation environments. Preprint: arxiv.org/abs/2509.06426

(1/8) New paper from our team! Yu Duan & Hamza Chaudhry introduce POCO, a tool for predicting brain activity at the cellular & network level during spontaneous behavior. Find out how we built POCO & how it changes neurobehavioral research 👇 arxiv.org/abs/2506.14957

Just read through this paper. Very nice and comprehensive analysis of the IBL data. This figure looks a lot like salt & pepper organization taken to the extreme.

One of the coolest results I’ve seen recently. Congrats to the team! Also, I couldn’t help but think about texture bias in ANNs when I first read this paper.

Stoked to see this paper finally out! It answers two big questions: where visual objects are encoded in the brain, and how head-direction cells get oriented using visual landmarks. Super fun collaboration with @mace-lab.bsky.social and Stuart Trenholm. www.science.org/doi/10.1126/...

𝗕𝗿𝗮𝗶𝗻-𝘄𝗶𝗱𝗲 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝘀 Spatially distributed and regionally unbound cellular resolution brain-wide processing loops in mice 𝗕𝗿𝗮𝗶𝗻 𝗿𝗲𝗴𝗶𝗼𝗻𝘀 𝗼𝗿 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝘁𝗵𝗿𝗲𝗮𝗱𝘀? Dynamical processing winding through most brain regions. Looks like a must read. www.biorxiv.org/content/10.1... #neuroskyence

#Cosyne2026 is now open for business! Show us what you got both for the main meeting & workshop proposals 🧠🥳🧠🥳🧠

Finally ... The most anticipated feature is here 🔖

Unpopular opinion: When a paper has a senior mentor and a junior mentee, the senior author must make sure the claims are correct and well supported. They must check every claim and gate the submission until it meets that bar.

The worst task management strategy: leaving emails unread until you complete the tasks they contain.

Spent half an hour building a gorgeous LEGO mansion only to watch my son destroy it in 5 sec. All those years learning to handle rejection as an academic is finally paying off in RL. Takeaway: Make sure your artifact aligns with your evaluators’ world and perspective.

Is anarchist science possible? As an experiment, we got together a large group of computational neuroscientists from around the world to work on a single project without top down direction. Read on to find out what happened. 🤖🧠🧪

Come join us at University of Toronto. We're hiring a Professor of computational cognitive neuroscience. #neuroAI #compneuro jobs.utoronto.ca/job/Toronto-...

Since I'm back on BlueSky - with @frostedblakess.bsky.social and @cpehlevan.bsky.social we wrote a brief perspective on how ideas about summary statistics from the statistical physics of learning could potentially help inform neural data analysis... (1/2)