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!👇🧵