🚨 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

New preprint as my first post! "Monosynaptic connections link functionally similar regions in human cortex." We use electrical stimulation + fMRI in epilepsy patients to map whole-brain monosynaptic connectivity at 42 cortical sites. doi.org/10.64898/202... 1/n

I always assumed that brain function had to line up with cytoarchitectonics. It turns out I was wrong. Human cortex, especially PFC, is tiled by chains of functional patches that subdivide and interlink architectonic areas into parallel processing streams. www.biorxiv.org/content/10.6...

Our new paper on brain networks engaged during imagining is out now in Neuron! Here is a download link (free for 50 days): authors.elsevier.com/c/1msNE3BtfH... Congratulations to Nate Anderson for leading this work @rementurus.bsky.social 🧵

Excited to announce a new paper from our lab, by Ian Griffith @iangriffith.bsky.social with help from Preston Hess @phess2.bsky.social, introducing a model of attentional selection. www.nature.com/articles/s41... @mitbcs.bsky.social @mitscience.bsky.social Here is a summary. (1/n)

Is spatial navigation innate 🧠? Using #NeuroPixels we show that the #torus 🍩 underlying the #GridCell map exists already on day 10 in rats — before pups open eyes and ears and before they start upright walking. 🧵1:4 👇 www.biorxiv.org/content/10.6...

Really great work demonstrating the importance of task-based responses in characterizing the functional organization of the brain. Congrats to @carobellum.bsky.social and the rest of the team!

I am totally pumped about this new work . "Task-trained RNNs" are a powerful and influential framework in neuroscience, but have lacked a firm theoretical footing. This work provides one, and makes direct contact with the classical theory of random RNNs: www.biorxiv.org/content/10.6...

Excited to share new work on how the brain makes social inferences from visual input! 🧠👯‍♂️ (With @lisik.bsky.social , @shariliu.bsky.social, @tianminshu.bsky.social , and Minjae Kim!) www.biorxiv.org/content/10.6...

Language areas in the cerebellar mapped by @coltoncasto.bsky.social: www.thetransmitter.org/language/cer... Very consistent with @carobellum.bsky.social functional atlas, but providing deeper details. By now the "terra incognita" of the cerebellum isn't so "incognita" anymore!

So great to chat with @thetransmitter.bsky.social about our findings :)

How do diverse context structures reshape representations in LLMs? In our new work, we explore this via representational straightening. We found LLMs are like a Swiss Army knife: they select different computational mechanisms reflected in different representational structures. 1/

Thanks to @kempnerinstitute.bsky.social for highlighting our new study! I'm excited to see where this research will take us in the years to come :)

"The cerebellar components of the human language network" www.cell.com/neuron/fullt... @coltoncasto.bsky.social, Evelina Fedorenko & colleagues @cp-neuron.bsky.social

Could not be more excited about Colton's @coltoncasto.bsky.social work! A deep dive into the linguistic cerebellum, and a discovery of an area remarkably functionally similar to the core left-hemisphere language areas, including in its selectivity for language. Go Colton and team!

The cerebellum supports high-level language?? Now out in @cp-neuron.bsky.social, we systematically examined language-responsive areas of the cerebellum using precision fMRI and identified a *cerebellar satellite* of the neocortical language network! authors.elsevier.com/a/1mUU83BtfH... 1/n 🧵👇

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.

Why isn’t modern AI built around principles from cognitive science or neuroscience? Starting a substack (infinitefaculty.substack.com/p/why-isnt-m...) by writing down my thoughts on that question: as part of a first series of posts giving my current thoughts on the relation between these fields. 1/3

New preprint on prosody in the brain! tinyurl.com/2ndswjwu HeeSoKim NiharikaJhingan SaraSwords @hopekean.bsky.social @coltoncasto.bsky.social JenniferCole @evfedorenko.bsky.social Prosody areas are distinct from pitch, speech, and multiple-demand areas, and partly overlap with lang+social areas→🧵

A left frontal-temporal network selectively supports language comprehension and production. Are computations in this language network driven primarily by bottom-up input, or by top-down task demands? 🧵👇 www.biorxiv.org/content/10.6...

Neuroscience of language has a dilemma: how do we reconcile extensive patient and imaging evidence for **language-specific** processing with the fact that naturalistic language evokes extensive activity all over the brain? We propose a framework that accounts for both.

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🧵👇

New paper with @rjantonello.bsky.social @csinva.bsky.social, Suna Guo, Gavin Mischler, Jianfeng Gao, & Nima Mesgarani: We use LLMs to generate VERY interpretable embeddings where each dimension corresponds to a scientific theory, & then use these embeddings to predict fMRI and ECoG. It WORKS!

🚨 New Preprint 🚨 Targeting intracranial electrical stimulation (ES) to network regions defined within individuals causes network-level effects By Cyr et al. *** Q: Can we use individualized network maps from precision fMRI to modulate a targeted network via intracranial ES? A: Yes! 🧵:

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.

Super excited to share our new article: “Dissociable cortical regions represent things and stuff in the human brain” with @nancykanwisher.bsky.social, @rtpramod.bsky.social and @joshtenenbaum.bsky.social Video abstract: www.youtube.com/watch?v=B0XR... Paper: authors.elsevier.com/a/1lWxv3QW8S...

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...).

**ecstatic** to share our @iclr-conf.bsky.social paper: sparse components distinguish visual pathways & their alignment to neural networks, with @nancykanwisher.bsky.social and meenakshi khosla (openreview.net/forum?id=IqH...) 1/n

"With precision fMRI, we identify cerebellar regions that respond to language across modalities, one supporting semantic processing, the other three integrating info from diverse neocortical regions." Elegant work by @evfedorenko.bsky.social lab, with 🧵 from lead author @coltoncasto.bsky.social. 🧪

New paper! 🧠 **The cerebellar components of the human language network** with: @hsmall.bsky.social @moshepoliak.bsky.social @gretatuckute.bsky.social @benlipkin.bsky.social @awolna.bsky.social @aniladmello.bsky.social and @evfedorenko.bsky.social www.biorxiv.org/content/10.1... 1/n 🧵

Excited to share new work on the language system! Using a large fMRI dataset (n=772) we comprehensively search for language-selective regions across the brain. w/ Aaron Wright, @benlipkin.bsky.social, and @evfedorenko.bsky.social Link to the preprint: biorxiv.org/content/10.1... Thread below!👇🧵