New in PLOS Comp Bio, cool work from @timothyoleary.bsky.social showing that representational "drift" (lol, sorry for the scare quotes, Tim!), follows non-Gaussian statistics that can be beneficial for adaptive decoding: journals.plos.org/ploscompbiol... #neuroscience 🧪

Overall, I like the Bluesky interface, but damn, it sucks at searching for people. Like, I gotta remember a person's specific handle to find them? There's algorithms for that y'all!!!!

Nice break-down of a mechanism for attention to boost activity in neocortex (via basal forebrain projections). From @kepecslab.bsky.social and crew: www.cell.com/cell/abstrac... #neuroscience 🧪

Learning shapes neural geometry in the primate prefrontal cortex www.nature.com/articles/s41...

New lab paper ! "Shared neural geometries for bilingual semantic representations in human hippocampal neurons" led by @xinyuanyan.bsky.social. 🧵 www.sciencedirect.com/science/arti...

Why did RNNs fail to learn long-term dependencies? What if we added one more modification, maybe now? It turns out we can give a pretty broad, analytical answer! See the attached paper for a rigorous treatment using centre manifolds, low-rank RNNs, and dynamical systems theory! go.aps.org/4fXWEeF

This is the kind of almost magic-like payoff we get from decades of basic and applied research by thousands of scientists across the globe. This is why we do it.

Whenever someone says “no one asked for this” wrt LLMs — I always wish I had papers on hand about natural language search behaviors. Across companies, pre LLMs, there’s always a bucket of queries your engine might fail to handle because…the query writer had high hopes of what could be handled

A much cleaner alternative to lithium batteries is on the way Sodium-ion uses sodium to carry the charge inside the battery, rather than lithium. “It’s the same raw material that goes into table salt,” Dales said. “It’s an abundant element.” www.motherjones.com/environment/...

This paper is cool. The conclusion seems a little obvious (that learning makes individuals different), but at the same time, lovely to see it quantified so clearly: elifesciences.org/reviewed-pre... 🧪

The British parliamentary system is unforgiving of leaders, I've spent my life watching people in this system get pushed out by their own parties. If you want PMs to last in this system, you have to select competent people as party leader. (*cough* ahem, hint hint, UK, *cough*)

After 18 months of R&D with a team of specialist academics, I'm VERY excited to say that @carbonbrief.org has just launched 'Project Cosmos'... ...the world's largest database of climate research Our hope is this becomes a major new resource interactive.carbonbrief.org/cosmos/index...

A terrific interview with @timothyoleary.bsky.social all about representational drift and related topics! Super clear and insightful! 👏

We recently investigated how humans and AI reason through causal rules: arxiv.org/abs/2606.06464 Accepted at #CogSci2026. We gave adults and LLMs agency to actively experiment using a Blicket causal game, breaking down their process into the iterative loop shown in the following figure:

Super interesting model out from @somnirons.bsky.social and crew, strong recommend for anyone into bio-plausible credit assignment work! #neuroscience #NeuroAI 🧪

Our latest story is finally in preprint! 🧠✨ How does the brain solve the (hierarchical) credit assignment problem efficiently? Cell-type-specific cortical feedback holds the key, closely approximating backprop. Paper: doi.org/10.64898/202...

The Neural Control & Computation Lab is recruiting a Postdoctoral Fellow to investigate the neural basis of learning, flexible neural computation, and skilled movement control using large-scale electrophysiology from single-neuron populations in non-human primates 🧠🐒 www.ncclab.ca/join-the-lab

🚨 New Preprint! 🧠 We gave an AI model one simple rule: rearrange your neurons so that nearby ones respond alike. We never told it what a face, a voice, or a sentence was. It grew brain-like maps for all three anyway. 🧵👇 🌐 Website: topo-omni.epfl.ch

Finally submitted my response - The Stuff Matters - to the 50(!) commentaries on my 2025 BBS paper 'Conscious AI and biological naturalism'. I'm sorry to all commentators that it took so long. Hopefully the whole caboodle will be published soon. Target paper here: www.cambridge.org/core/journal...

new paper, #NeuroAI 📣📜 Can measured cortical organization be used as an inductive bias for artificial recurrent neural networks? In this work, we ask whether cortical geometry, wiring, and function can push RNNs learn. Not as metaphor, but as measurable structure! 1/n🧵👇 arxiv.org/abs/2606.14975

We don’t always know what problems are hard for LLMs. So devs evaluate on tasks HUMANS find hard or on broad benchmarks. What if we could instead anticipate which scenarios a model will fail on—all without evaluating specific input examples? 🧵NEW PAPER by @jenniferlumeng.bsky.social

Something I should have read months ago. Ulanovsky's bats fly long tunnels and reveal CA3 as a single-field coder, CA1 as multi-field. Sparse in, dense out — really rather nice. https://www.nature.com/articles/s41586-026-10537-0

A bit morbid, but I usually support a person's decision to end their life. It is one of (the only?) aspect of our lives we can have complete autonomy over. This includes the law of the state, the biological imperatives of aging, and the social structure we are born into and compelled to follow.

"The sun doesn't shine at night." Neither do petrol stations refine fuel in your driveway, coal dig itself out of the ground, or gas teleport to your home. Every system has constraints. The winners solve them cheapest. The losers mistake today's problems for tomorrow's outcome. #Bettrification

Charlatans taking advantage of vulnerable people - just the lowest, most grotesque sort of behavior... www.theguardian.com/society/2026...

hot damn. looks important. www.science.org/doi/10.1126/...

How do brains plan actions towards goals? To get at this question we studied mice navigating complex mazes as goals changed on every trial 🧵 Work with @thomasakam.bsky.social @behrenstimb.bsky.social @kristorpjensen.bsky.social now on BioRxiv: www.biorxiv.org/content/10.6...

See the paper card (for link and the blog) on the recent manuscript on inhibitory neurons across different layers of the cortex! ps...the universality paper (quoted tweet) will be a follow up on this one. neurovium.science/papers/Inhib...

Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:

1/7 Excited to share my last PhD article, just accepted to ICML 2026! In it, we (me, Alexandre Payeur, Guillaume Lajoie) used dynamical systems theory to study "local" learning in linear recurrent neural networks. See link for the paper, and thread for a brief summary. arxiv.org/abs/2606.00243

NEW PAPER. Why do larger networks train better? "Because they contain more candidate *sub*networks that can learn the task" → lottery tickets This popular explanation uses an appealing but misleading metaphor🧵 We propose an intuitive alternative grounded in theory: escape dimensions

Bring your cell typing questions to our "Describe Your Neurons like the Allen Institute" Q&A workshop. Our experts will answer your questions live on cell type tools, datasets, and real-world applications. 🎟️ https://alleninstitute.org/events/neuroscience-cell-types-webinars

1/ We work hard to factor "noise" out of behavior. But the brain doesn't. Strip away noise and you may miss what the brain evolved to do I wanted to share this pre-Bluesky paper where we found premotor (M2) corticostriatal circuits encode a broad history of behavior, beyond just action + reward 👇

Le Bloc gonna try n' block progress... 🤦

A data centre is usually treated as a grid problem: a large, growing electricity load. In Finland it's becoming a heat asset. Fortum has switched on two industrial heat pump plants that will recover waste heat from neighbouring data centres from next year. www.pv-magazine.com/2026/05/07/l...

This is great news, but I really wish that gray line for coal would come down...

Great #Blueprint from @raymondrchua.bsky.social here on his new paper accepted at ICML this year! tl;dr: when the environment changes gradually preserving stability is more important for continual learning. And, Ray does this nicely with consolidation of successor features. 🙂 #MLSky #NeuroAI 🧠📈 🧪

Network learning: Neuron-by-neuron error signals in the neocortex www.cell.com/current-biol... By @tyrellturing.bsky.social

The pedestrianization of Broadway through the heart of Manhattan just expanded, and it's glorious:

Perspective piece from Blake @tyrellturing.bsky.social @mandanas.bsky.social 👇

Maple syrup is amazing because it’s just a socially acceptable way to drench a full plate of food in sugar water. Outstanding work Canada.

Our brain is constantly looking for patterns. When something unexpected happens, we notice it more in a predictable context, than in an unpredictable environment. Our study identifies how the auditory cortex amplifies responses to unexpected sounds in predictable contexts. doi.org/10.1523/jneu...

Two neurons form the minimal circuit needed to compute the difference between expected and actual rewards. #neuroskyence By @natmesanash.bsky.social www.thetransmitter.org/systems-neur...

Excited to see our perspective out today! We argue that schemas may not be fundamentally distinct from semantic and episodic memories, but instead lie along a spectrum of abstraction, from detailed episodic experiences to highly abstract knowledge. See more: doi.org/10.1016/j.ne...

New perspective piece with @mandanas.bsky.social: We argue, based on LLMs and old connectionist theories, that schemas shouldn't be viewed as distinct from semantic or episodic memories. They're just one end of a detailed-to-abstract memory spectrum: www.cell.com/neuron/fullt... #NeuroAI 🧠📈 🧪

Sanders' proposal for the government to take a 50% stake in AI companies is, IMO, a good idea. AI will be a critical piece of infrastructure, one which should be built with appropriate safe-guards and environmental planning. Trying to cancel AI is foolish - but leaving it to market forces is too.

Declaration for AI use in mathematics: Some thoughts.... 1. This turning point could in fact be a healthy wake up call for research and math in particular. There's a sense among some that research is all about the results and the certainty around mathematical proof. This is misguided: