But can we find a single time-point that offers a high-accuracy stable categorical readout from IT? No. Category information in IT can be decoded much better using a recurrent neural network with access to the whole spatiotemporal trajectory, compared to a pure ‘spatial’ code. /6

Check it out, great new work on inter-area dynamics in visual cortex! 🌀

We wrote a book! www.cambridge.org/core/books/s... Consciousness science is a fascinating but bewildering field: many competing theories, little consensus, and big open questions. If you are looking for an accessible guide through this complex landscape, this book is for you.

OPEN POSTDOC position (part of @erc.europa.eu Consolidator DYNALANG) We build math&comp models of neural dynamics using insights from formal linguistics + ML Seeking theory-driven researchers w/ interests in language, neural dynamics, & math/comp neuroscience. Apply here: tinyurl.com/55exdpse

How is uncertainty in LLMs output reflected in internal representations? In our new work (to appear at ICML 2026), we show that the shape of internal token trajectories provides a direct geometric link to behavioral uncertainty (output entropy). 🧵(1/n)

Happy to announce the 3rd iteration of NEAT (Neuro-AI-Talks), which will take place in Osnabrück September 14th-15th 2026. NEAT is a (deliberately small scale) NeuroAI workshop that brings together researchers from neuroscience and AI. www.kietzmannlab.org/neat2026/ More information below 👇

Foundation models in neuroscience predict brain activity at unprecedented accuracy. But prediction ≠ understanding, and we should avoid conflating the two. New essay now out:

In this beautiful review Marcel Sayre et al. give us an overview on the evolutionary origin of spatial representation incl. heading coding. @stanley-heinze.bsky.social www.sciencedirect.com/science/arti...

New peer-reviewed paper w/ @mheilbron.bsky.social, @predictivebrain.bsky.social & Jakub Szewczyk! Pre-onset brain encoding has been taken as evidence that brains–like LLMs–predict upcoming words. We show that the same signatures arise in systems that cannot predict. (elifesciences.org) (1/8)

Brain-inspired warm-up training with random noise for uncertainty calibration Another article on using noise for calibration in DNN. Love to see this. www.nature.com/articles/s42...

Two Analytical Connectionism-related updates: 1. ⏰ 1 week left to apply! Interested in language + AI & cognition? Don’t miss it: www.analytical-connectionism.net/school/2026/ 2. 📜 Lecture notes from the first two editions are finally out: proceedings.mlr.press/v320/

We're excited to share our new study on decoding brain activity in participants with post-stroke aphasia! We think this is an important step towards cognitive brain-computer interfaces for patients with language disorders www.biorxiv.org/content/10.6... 1/8

Cosyne invited me to give a long tutorial (4 hours!) on methods to quantify differences high-d neural recordings across animals, brain regions, deep neural nets, etc. The recording is up on youtube. I hope it inspires more research on this fundamental topic! www.youtube.com/watch?v=n44x...

My first time at #Cosyne2026 in beautiful Lisbon! I’ll be presenting my work on CorText (brain-language fusion) in the “AI for Interpretable Model Discovery in Neuroscience” workshop on Tuesday 17th (09:30). Looking forward! Reach out to me if to chat about neuroAI and brain foundation models 🧠

woodcut illustration of the brain. 🧶 artist: Aoki Shukuya book: Kaishi Hen, anatomical atlas published in Kyoto in 1772.

NSD-synthetic, the out-of-distribution companion dataset of NSD consisting of 7T fMRI responses to 284 artificial images, is now published. #NeuroAI #CompNeuro #neuroscience #AI doi.org/10.1038/s414...

Returning home inspired after a great visit to KU Leuven, where I presented our work on CorText in the Brain & Cognition group. Thank you for the invitation and great discussions! @hansopdebeeck.bsky.social @costantinoai.bsky.social (pictured: the magnificent architecture of the Liège station)

Model weights in Borges’ Library of Babel: seemingly meaningless series of characters, unless you know.

Our latest paper, “Visual language models show widespread visual deficits on neuropsychological tests”, is now out in Nature Machine Intelligence: www.nature.com/articles/s42... Non-paywalled version: arxiv.org/abs/2504.10786 Tweet thread below from first author @genetang.bsky.social...

1/7 Can infants recognise the world around them? 👶🧠 As part of the FOUNDCOG project, we scanned 134 awake infants using fMRI. Published today in Nature Neuroscience, our research reveals 2-month-old infants already possess complex visual representations in VVC that align with DNNs.

Interested in the latest advances in neuroscience (neural dynamics and internal models) and how they can be leveraged to build smarter, adaptive AI? ➡️ My first real solo piece 🖤🫶 @natneuro.nature.com rdcu.be/eWVmA

When and why do modular representations emerge in neural networks? @stefanofusi.bsky.social and I posted a preprint answering this question last year, and now it has been extensively revised, refocused, and generalized. Read more here: doi.org/10.1101/2024... (1/7)

🚨new work with the dream team @danakarca.bsky.social @loopyluppi.bsky.social @fatemehhadaeghi.bsky.social @stuartoldham.bsky.social @duncanastle.bsky.social We use game theory and show the brain is not optimally wired for communication and there’s more to its story: www.biorxiv.org/content/10.6...

Brains have many pathways / subnetworks but which principles underlie their formation? In our #NeurIPS paper lead by Jack Cook we identify biologically relevant inductive biases that create pathways in brain-like Mixture-of-Experts models🧵 #neuroskyence #compneuro #neuroAI arxiv.org/abs/2506.02813

In this piece for @thetransmitter.bsky.social, I argue that ecological neuroscience should leverage generative video and interactive models to simulate the world from animals' perspectives. The technological building blocks are almost here - we just need to align them for this application. 🧠🤖

Looking forward!

🚨 Out in Patterns! We asked ourselves, if complex neural dynamics like predictive remapping and allocentric coding can emerge from simple physical principles, in this case Energy Efficiency. Turns out they can! More information in the 🧵 below. I am super excited to see this one out in the wild.

Y’all are reading this paper in the wrong way. We love to trash dominant hypothesis, but we need to look for evidence against the manifold hypothesis elsewhere: This elegant work doesn't show neural dynamics are high D, nor that we should stop using PCA It’s quite the opposite! (thread)

What happens if you hook up an energy-efficiency optimising RNN on active vision input? It learns predictive remapping and path integration into allocentric scene coordinates. Now out in patterns: www.cell.com/patterns/ful...

🚨New Preprint! How can we model natural scene representations in visual cortex? A solution is in active vision: predict the features of the next glimpse! arxiv.org/abs/2511.12715 + @adriendoerig.bsky.social , @alexanderkroner.bsky.social , @carmenamme.bsky.social , @timkietzmann.bsky.social 🧵 1/14

6. The AI scientist took 45 minutes and $8.25 in LLM tokens to find a new tuning equation that fits the data better, and predicts the population code’s high-dimensional structure – even though we had only tasked it to model single-cell tuning.

New preprint led by @pablooyarzo.bsky.social together with @kohitij.bsky.social, Diego Vidaurre & Radek Cichy. Using EEG + fMRI, we show that when humans recognize images that feedforward CNNs fail on, the brain recruits cortex-wide recurrent resources. www.biorxiv.org/content/10.1... (1/n)

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

Warren McCulloch

Figuring out how the brain uses information from visual neurons may require new tools, writes @neurograce.bsky.social. Hear from 10 experts in the field. #neuroskyence www.thetransmitter.org/the-big-pict...

Wow, peak library experience at Princeton! Looking forward to a week of the “Automated Scientific Discovery of Mind and Brain” workshop - where I will also present my work on CorText and brain-language fusion 🧠

As it's hiring season again I'm resharing the NeuroJobs feed. Add #NeuroJobs to your post if you're recruiting or looking for an RA, PhD, Postdoc, or faculty position in Neuro or an adjacent field. bsky.app/profile/did:...

🔍 Large language models, similar to those behind ChatGPT, can predict how the human brain responds to visual stimuli New study by @adriendoerig.bsky.social @freieuniversitaet.bsky.social with colleagues from Osnabrück, Minnesota and @umontreal-en.bsky.social Read the whole story 👉 bit.ly/3JXlYmO

Our target discussion article out in Cognitive Neuroscience! It will be followed by peer commentary and our responses. If you would like to write a commentary, please reach out to the journal! 1/18 www.tandfonline.com/doi/full/10.... @cibaker.bsky.social @susanwardle.bsky.social

incredible Ada Lovelace quote highlighted in a talk by Steve Furber. She spells out the dream of computational neuroscience, 2 centuries ago. The sheer ambition 🤩

In other news, I am now a ✨ COXI ✨ (cognitive scientist in Osnabrück, Germany) www.uni-osnabrueck.de/en/campus-li... I'll be looking for PhD students & postdocs later this year, so watch this space if combining cognitive modelling, EEG & tFUS to study flexible cognition sounds exciting to you 🚀

Datasets like NSD & THINGS offer rich stimuli but often test a single task. After great conversations at #CCN2025 on multi-task studies & generalization in brains & models, I thought I would repost our perspective for those interested in this topic. We need multiple tasks!👉 doi.org/10.1038/s415...

That's a wrap for CCN2025 -- and so planning for CCN2026 in New York is starting today! Save travels to all participants and remember to fill out the feedback survey sent via email!

Looking for principles of neural organisation: should we ask what for or how come? Great kickoff discussions at the “Modeling the Physical Brain” CCN satellite event! #CCN2025 #topography

OK, time for a CCN runup thread. Let me tell you about all the lab’s projects present at CCN this year. #CCN2025

🚨 Finally out in Nature Machine Intelligence!! "Visual representations in the human brain are aligned with large language models" 🔗 www.nature.com/articles/s42...

🚨New paper🚨 Neural manifolds went from a niche-y word to an ubiquitous term in systems neuro thanks to many interesting findings across fields. But like with any emerging term, people use it very differently. Here, we clarify our take on the term, and review key findings & challenges rdcu.be/ex8hW

The final destination is an ontology not of a singular Universe, but of a pluriverse of viable, interacting maps. Reality, as we can know it, is not the silent, underlying territory. It is the noisy, dynamic, and ever-changing ecosystem composed of all these living, competing, and co-evolving maps.

The perspective that representational Universality and the ‘platonic representation hypothesis’ etc. are not addressing - multimodal / ANN-human alignment happens due to overlapping “Umwelts”, not due to all systems ultimately representing Reality™ (hot take?)

What makes visual processing in the brain so powerful and flexible? Very excited to share our new work where we started from SOTA models that accurately predict dynamic brain activity during hours of video watching, and investigated core computations underlying visual perception