Interesting convergence: The trick that made predictive self-supervised vision models work seems to be what the brain was doing all along w/ @predictivebrain.bsky.social: visual cortex is most sensitive to high-level prediction errors -- even in V1 Now published: journals.plos.org/ploscompbiol...

With some trepidation, I'm putting this out into the world: gershmanlab.com/textbook.html It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.

Nature research paper: Distinct neuronal populations in the human brain combine content and context go.nature.com/4jCecge

A fascinating dataset and an amazing challenge!

For 15(!) years I’ve been teaching introductory #MRI to grad students, and struggled to find a textbook for a wide variety of backgrounds. I'm happy to share an online textbook I created, fully open source (including code for generating figures and plots shown): larsonlab.github.io/MRI-educatio...

Job alert 🚨 Fully funded PhD position available in our Maastricht lab! Are you interested in the relationship between memory and prediction, and have a track record of neuroimaging/decoding? Please apply! #NeuroJobs www.academictransfer.com/nl/jobs/3576...

🚨Preprint: Semantic Tuning of Single Neurons in the Human Medial Temporal Lobe 1/8: How do human neurons encode meaning? In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain: doi.org/10.1101/2025...

New preprint! www.biorxiv.org/content/10.6... As you are silently reading this, you may experience a little voice in your head. How is it represented in the brain, and what purpose does it serve? Our new study answers the questions. Together with @adriendoerig.bsky.social and Radek Cichy.(1/8)

Now out in @pnas.org: a tour de force co-led by Sammy Floyd and Olessia Jouravlev (also with @moshepoliak.bsky.social, Zach Mineroff and Ted Gibson): www.pnas.org/doi/10.1073/...

🎉 Our paper has been selected for a Neurips Spotlight: “Scaling and Context Steer LLMs along the Same Computational Path as the Human Brain” 👥led by J Raugel, w/ S. Ascoli, Rapin & @valentinwyart.bsky.social 📄https://openreview.net/pdf?id=4YKlo58RcQ 📍 Hall C-E Poster #2006 🧵thread 👇

What does it mean to understand language? We argue that the brain’s core language system is limited, and that *deeply* understanding language requires EXPORTING info to other brain regions. w/ @neuranna.bsky.social @evfedorenko.bsky.social @nancykanwisher.bsky.social arxiv.org/abs/2511.19757 1/n🧵👇

My colleague, friend, former PhD/postdoc @xiangbin-teng.bsky.social and his colleagues argue for (yet) another interesting attribute of music listening. journals.plos.org/plosbiology/...

We’d love your feedback on BERG (github.com/gifale95/BERG): pretrained encoding models + a Python toolkit for generating in silico neural responses for in silico experimentation. Your input will make BERG more useful and reliable! forms.gle/pybrqcaqdso2... #NeuroAI #CompNeuro #neuroscience #AI

A very useful review and update on the anatomic infratstructure for language: "Brain structural networks underlying language" by Angela Friederici journals.physiology.org/doi/abs/10.1...

happy to share our new paper, out now in Neuron! led by the incredible Yizhen Zhang, we explore how the brain segments continuous speech into word-forms and uses adaptive dynamics to code for relative time - www.sciencedirect.com/science/arti...

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)

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!

Amazing work and cute cat!

#JNeurosci: Ferris et al. found when people recall a story that was detailed with personal interpretations or emotions, this triggers different memory mechanisms than when they recall a story that instead emphasized external, more concrete descriptions. https://doi.org/10.1523/JNEUROSCI.1936-24.2025

My attempt to depict the neural architecture of language as motivated in my forthcoming book, Wired for Words. Like colors represent functional connectivity. Main insight: linguistic levels are all organized with a sensorimotor-like architecture. pbs.twimg.com/media/G2cwsM...

How do humans and large language models (LLMs) represent sentences? Liu et al. design a rule inference task, revealling that both humans and LLMs implicitly decomposes a sentence into tree-structured constituents.

Apply until 14 September! 👋 Together with our partners, we invite early & mid-career researchers based in Germany to participate in the Sino-German Frontiers of Science and Technology Symposium. #FrontiersOfResearch 📆 23-26 April 2026 📌 Suzhou, China www.humboldt-foundation.de/en/apply/spo...

*Absolutely* beautiful work characterizing the neural transformations between imagery and perception! 🤩

Happy to share our new preprint. We found that brain adaptively switches between relational and item-based coding strategies based on the structure of memory contents. @doellerlab.bsky.social www.biorxiv.org/content/10.1...

Examples: audio before red line = ground-truth prompt; after = AuriStream’s prediction, visualized in the time-frequency cochleagram space. AuriStream shows that causal prediction over short audio chunks (cochlear tokens) is enough to generate meaningful sentence continuations!

Können Large Language Models (wie #ChatGPT) vorhersagen, wie ein #Gehirn auf visuelle Reize reagiert 🤔 Ja, sagt eine neue Studie von @adriendoerig.bsky.social der #FUBerlin in @natmachintell.nature.com Alle Infos: tinyurl.com/2s449zc9 #KI #LLM

See you tomorrow at Poster A32! #CCN2025

We may have found the neural correlates🧠 of "the voice🗣️ in your head" when you’re reading📖! If you’re at CCN and are interested, come chat with us! @adriendoerig.bsky.social @Radoslaw Martin Cichy **Where:** Session A, Poster A32 **When:** Tuesday, August 12 | 1:30 – 4:30 pm See you in Amsterdam!

🚨 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 with @mujianing.bsky.social & @prestonlab.bsky.social! We propose a simple model for human memory of narratives: we uniformly sample incoming information at a constant rate. This explains behavioral data much better than variable-rate sampling triggered by event segmentation or surprisal.

📣 Great opportunity for our Humboldt Alumni: We’re awarding €30,000 to support your innovative networking initiatives. Apply by 30 November: www.humboldt-foundation.de/en/apply/alu...

Check out Zaid's open "Podcast" ECoG dataset for natural language comprehension (w/ Hasson Lab). The paper is now out at Scientific Data (nature.com/articles/s41...) and the data are available on OpenNeuro (openneuro.org/datasets/ds0...).

Vision Deep Neural Networks and Large Language Models complement each other in predicting EEG responses to images, providing a more accurate model of the time course of visuo-semantic processing in the human brain. #NeuroAI #CompNeuro #neuroscience #AI arxiv.org/abs/2506.19497

Using in silico neuroscience, @alessandrogifford.bsky.social et al. developed a neural control algorithm to modulate the representational relationships between visual cortical areas, revealing how these areas jointly represent the world as an interconnected network. www.nature.com/articles/s41...

We're happy to announce the Berlin Consciousness Symposium, an in-person event bringing together expert speakers to discuss new trends in the neuroscience of consciousness. Date: 3rd of July 2025 at @freieuniversitaet.bsky.social @ccnberlin.bsky.social www.ewi-psy.fu-berlin.de/en/psycholog...

I'm super happy to see our project on topographic neural network models of visual processing out in @nathumbehav.nature.com! Have a look at @zejinlu.bsky.social's thread for details.

Now out in Nature Human Behaviour @nathumbehav.nature.com : “End-to-end topographic networks as models of cortical map formation and human visual behaviour”. Please check our NHB link: www.nature.com/articles/s41...

What are the organizing dimensions of language processing? We show that voxel responses during comprehension are organized along 2 main axes: processing difficulty & meaning abstractness—revealing an interpretable, topographic representational basis for language processing shared across individuals

(1/6) Thrilled to share our triple-N dataset (Non-human Primate Neural Responses to Natural Scenes)! It captures thousands of high-level visual neuron responses in macaques to natural scenes using #Neuropixels.

Despite everything going on, I may have funds to hire a postdoc this year 😬🤞🧑‍🔬 Open to a wide variety of possible projects in social and cognitive neuroscience. Get in touch if you are interested! Reposts appreciated.

New preprint! Thrilled to share my latest work with @esfinn.bsky.social -- "Sensory context as a universal principle of language in humans and LLMs" osf.io/preprints/ps...

New brain/language study w/ @evfedorenko.bsky.social! We applied task-agnostic individualized functional connectomics (iFC) to the entire history of fMRI scanning in the Fedorenko lab, parcellating nearly 1200 brains into networks based on activity fluctuations alone. doi.org/10.1101/2025... . 🧵

Work from Princeton neuroscience professor Uri Hasson, with collaborators at GoogleAI and @hebrewuniversity.bsky.social, reveals the parallels between language processing in our brains and with AI. 📰: research.google/blog/deciphe...

(1/7) NSD-synthetic is out! NSD-synthetic enables strict out-of-distribution generalization tests critical for the development of more robust models of visual processing and the formulation of more accurate theories of human vision. #NeuroAI #CompNeuro #neuroscience #AI doi.org/10.48550/arX...

Praktische Tipps fürs Wochenende

Goldstein et al. link acoustic, speech, and linguistic data with brain activity during real-life conversations to create a model that predicts neural responses during speech with high accuracy. https://www.nature.c...

Our January 2025 issue is now live! Check out the table of contents: https://www.nature.c...

"...how can the same sensory information evoke such wildly different interpretations across people, or even within the same person across time?" Learn how @esfinn.bsky.social, a #CNS2025 Young Investigator Award co-recipient, is working to answer that in a new Q&A: #scicomm

#Preprint alert! 🧠📈 🧠🤖 Ever wondered how well Predictive Coding can be implemented in Artificial Neural Nets? Do they really learn as the theory predicts? In our new preprint with @auksz.bsky.social, we test two PC algorithms & find that not all behave as expected! www.biorxiv.org/content/10.1...

Exciting work by an incoming postdoc Andrea deVarda (@andreadevarda.bsky.social). Multilingual neural net LMs have enough of a shared inter-language component so that you can train an LM-to-brain mapping model using, say, English+Tamil and then predict brain responses to Italian. Pretty wild, eh?