Really cool paper! We fully agree that the Umwelt offers a better framing than that of a single optimal world model that biological and artificial systems converge on. Great to see this concept re-emerging. We've further developed this idea as framework for NeuroAI recently: arxiv.org/abs/2604.17960
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...
Pretty Azulejos tiles in Lisbon
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 🧠
source: Kaishi Hen, 1772. https://publicdomainreview.org/collection/kaishi-hen-an-18th-century-japanese-anatomical-atlas/
woodcut illustration of the brain. 🧶
artist: Aoki Shukuya
book: Kaishi Hen, anatomical atlas published in Kyoto in 1772.
Great program! Looking forward to joining the workshop :)
Amazing! Congrats Micha :)
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...
Architecture of train station Liège-Guillemins by Calatrava
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!
Congrats! ✨
🚨 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)
Congrats Thomas! Great to see this out :)
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...
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)
Thanks! We’ll put the code and chat interface out soon :)
Congratulations!!
