Research plug: we're currently seeking (bilateraly, congenitally) blind adults & Deaf adults for a *paid* online research study (screen reader compatible) on how individuals experience words across perceptual modalities. Ping [email protected] if interested! Reposts welcome! #Blind #Deaf

I wrote a short article on AI Model Evaluation for the Open Encyclopedia of Cognitive Science 📕👇 Hope this is helpful for anyone who wants a super broad, beginner-friendly intro to the topic! Thanks @mcxfrank.bsky.social and @asifamajid.bsky.social for this amazing initiative!

Same task, different strategy ↔️ Why do identical neural network models develop separate internal approaches to solve the same problem? @annhuang42.bsky.social explores the factors driving variability in task-trained networks in our latest @kempnerinstitute.bsky.social Deeper Learning blog.

New in Neuron! A team including #KempnerInstitute’s @coltoncasto.bsky.social & @gretatuckute.bsky.social maps the cerebellum's role beyond motor control as part of an extended language network.🧠🗣️ More here: bit.ly/4rptQ13 #neuroscience #fMRI @gsas.harvard.edu @evfedorenko.bsky.social

The Visual Learning Lab is hiring TWO lab coordinators! Both positions are ideal for someone looking for research experience before applying to graduate school. Application deadline is Feb 10th (approaching fast!)—with flexible summer start dates.

Human visual cortex representations may be much higher-dimensional than earlier work suggested, but are these higher dimensions of cortical activity actually relevant to behavior? Our new paper tackles this by studying how different people experience the same movies. 🧵 www.cell.com/current-biol...

Excited to share our new publication “The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia”, published in JNeurosci 🧠 ➡️ www.jneurosci.org/content/46/4... with @lauragwilliams.bsky.social & @mvandermosten.bsky.social 🤝 Check out @stanfordbrain.bsky.social ’s summary of it ⬇️

New paper! In arxiv.org/abs/2601.20834 we study how language models representations of things like factuality evolve over a conversation. We find that in edge case conversations, e.g. about model consciousness or delusional content, model representations can change dramatically! 1/

now accepted at ICLR! 🐺🥳🐺 arxiv.org/abs/2506.20666

Happy to share that our paper “Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization” (aka MiCRo) has been accepted to #ICLR2026!! 🎉 See you in Rio 🇧🇷 🏝️

Language + cerebellum tour de force led by @coltoncasto.bsky.social !!

🎉 Re-Align is back for its 4th edition at ICLR 2026! 📣 We invite submissions on representational alignment, spanning ML, Neuroscience, CogSci, and related fields. 📝 Tracks: Short (≤5p), Long (≤10p), Challenge (blog) ⏰ Deadline: Feb 5, 2026 for papers 🔗 representational-alignment.github.io/2026/

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.

New book! I have written a book, called Syntax: A cognitive approach, published by MIT Press. This is open access; MIT Press will post a link soon, but until then, the book is available on my website: tedlab.mit.edu/tedlab_websi...

Great work led by Daria & Greta showing that diverse agreement types draw on shared units (even across languages)!

new: Eric Bigelow @ericbigelow.bsky.social suggests the 2 main ways of controlling LLMs (prompting & steering) can be understood as changing model beliefs (as in Bayesian belief updating) "Belief Dynamics Reveal the Dual Nature of In-Context Learning & Activation Steering" arxiv.org/pdf/2511.00617

How do LLMs process syntax? Do different syntactic phenomena recruit the same model units, or do they recruit distinct model components? And do different languages rely on similar units to process the same syntactic phenomenon? Check out our new preprint (to appear at ACL 2026)! shorturl.at/QWU81

Thrilled to start 2026 as faculty in Psych & CS @ualberta.bsky.social + Amii.ca Fellow! 🥳 Recruiting students to develop theories of cognition in natural & artificial systems 🤖💭🧠. Find me at #NeurIPS2025 workshops (speaking coginterp.github.io/neurips2025 & organising @dataonbrainmind.bsky.social)

Two weeks left to apply! MIT's Department of Brain and Cognitive Sciences is seeking a tenure-track Assistant Professor, working with nonhuman animals in some way. Application deadline is Dec. 1. Full posting: academicjobsonline.org/ajo/jobs/30586

LLMs get a lot of attention but if you are interested in the original (allegedly) stochastic parrots come to my poster Tuesday where I will present new work on the natural vocal behavior or parrots and its cortical control #Sfn2025 #SfN25

🤖🧠I'll be considering applications for PhD students & postdocs to start at Yale in Fall 2026! If you are interested in the intersection of linguistics, cognitive science, & AI, I encourage you to apply! PhD link: rtmccoy.com/prospective_... Postdoc link: rtmccoy.com/prospective_...

New pre-print from our lab, by Lakshmi Govindarajan with help from Sagarika Alavilli, introducing a new type of model for studying sensory uncertainty. www.biorxiv.org/content/10.1... Here is a summary. (1/n)

6/ We also wondered: if neuroscientists use functional localizers to map networks in the brain, could we do the same for MiCRo’s experts? The answer: yes! The very same localizers successfully recovered the corresponding expert modules in our models!

🚀 Excited to share a major update to our “Mixture of Cognitive Reasoners” (MiCRo) paper! We ask: What benefits can we unlock by designing language models whose inner structure mirrors the brain’s functional specialization? More below 🧠👇 cognitive-reasoners.epfl.ch

Check out @mryskina.bsky.social's talk and poster at COLM on Tuesday—we present a method to identify 'semantically consistent' brain regions (responding to concepts across modalities) and show that more semantically consistent brain regions are better predicted by LLMs.

I'm recruiting PhD students to join my new lab in Fall 2026! The Shared Minds Lab at @usc.edu will combine deep learning and ecological human neuroscience to better understand how we communicate our thoughts from one brain to another.

Do you want to use AI models to understand human language? Are you fascinated by whether linguistic representations are lurking in LLMs? Are you in need of a richer model of spatial words across languages? Consider UT Austin for all your Computational Linguistics Ph.D. needs! mahowak.github.io

Elizabeth Lee, a first-year Ph.D. student in Neural Computation, has been awarded CMU’s 2025 Sutherland-Merlino Fellowship. Her work bridges neuroscience and machine learning, and she’s passionate about advancing STEM access for underrepresented groups. www.cmu.edu/mcs/news-eve...

🚨 Paper alert: To appear in the DBM Neurips Workshop LITcoder: A General-Purpose Library for Building and Comparing Encoding Models 📄 arxiv: arxiv.org/abs/2509.091... 🔗 project: litcoder-brain.github.io

Come be our colleague at EPFL! Several open calls for positions 🧪🧠🤖 * Neuroscience www.epfl.ch/about/workin... (deadline Oct 1) * Life Science Engineering www.epfl.ch/about/workin... * CS general call www.epfl.ch/about/workin... * Learning Sciences www.epfl.ch/about/workin...

Now that the ICLR deadline is behind us, happy to share that From Language to Cognition has been accepted as an Oral at #EMNLP2025! 🎉 Looking forward to seeing many of you in Suzhou 🇨🇳

Excited to share new work with @hleemasson.bsky.social , Ericka Wodka, Stewart Mostofsky and @lisik.bsky.social! We investigated how simultaneous vision and language signals are combined in the brain using naturalistic+controlled fMRI. Read the paper here: osf.io/b5p4n 1/n

Are there conceptual directions in VLMs that transcend modality? Check out our COLM oral spotlight 🔦 paper! We use SAEs to analyze the multimodality of linear concepts in VLMs with @chloesu07.bsky.social, @thomasfel.bsky.social, @shamkakade.bsky.social and Stephanie Gil arxiv.org/abs/2504.11695

Here is our best thinking about how to make world models. I would apologize for it being a massive 40-page behemoth, but it's worth reading. arxiv.org/pdf/2509.09737

I thought I wouldn‘t be one of those academics super into outreach talks, but I just put together something about understanding LLMs for laypeople and I get to talk about results that I don’t really focus on in any of my technical talks! It’s actually really cool. I made this lil takeaway slide

✨ Do self-supervised speech models learn to encode language-specific linguistic features from their training data, or only more language-general acoustic correlates? At #Interspeech2025 we presented our new Wav2Vec2-NL model and SSL-NL evaluation dataset to test this! 📄 arxiv.org/abs/2506.00981 ⬇️

So, what is #EurIPS anyway? 🤔 EurIPS is a community-driven conference taking place in Copenhagen Denmark endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and co-developed with @ellis.eu, where you can additionally present your NeurIPS papers.

Had such a great time presenting our tutorial on Interpretability Techniques for Speech Models at #Interspeech2025! 🔍 For anyone looking for an introduction to the topic, we've now uploaded all materials to the website: interpretingdl.github.io/speech-inter...

Wanted to share a new version (much cleaner!) of a preprint on how connectivity structure shapes collective dynamics in nonlinear RNNs. Neural circuits have highly non-iid connectivity (e.g., rapidly decaying singular values, structured singular-vector overlaps), unlike classical random RNN models.

I’m recruiting committee members for the Technical Program Committee at #CCN2026. Please apply if you want to help make submission, review & selection of contributed work (Extended Abstracts & Proceedings) more useful for everyone! 🌐 Helps to have: programming/communications/editorial experience.

Humans largely learn language through speech. In contrast, most LLMs learn from pre-tokenized text. In our #Interspeech2025 paper, we introduce AuriStream: a simple, causal model that learns phoneme, word & semantic information from speech. Poster P6, tomorrow (Aug 19) at 1:30 pm, Foyer 2.2!

If you work on artificial or natural intelligence and are finishing your PhD, consider applying for a Kempner research fellowship at Harvard: kempnerinstitute.harvard.edu/kempner-inst...

In our new paper, we explore how we can build encoding models that are both powerful and understandable. Our model uses an LLM to answer 35 questions about a sentence's content. The answers linearly contribute to our prediction of how the brain will respond to that sentence. 1/6

Action potential 👉 3 faculty opportunities to join EPFL neuroscience 1. Tenure Track Assistant Professor in Neuroscience go.epfl.ch/neurofaculty, 2. Tenure Track Assistant Professor in Life Sciences Engineering, or 3. Associate Professor (tenured) in Life Sciences Engineering go.epfl.ch/LSEfaculty

🤖 🧠 NEW PAPER ON COGSCI & AI 🧠 🤖 Recent neural networks capture properties long thought to require symbols: compositionality, productivity, rapid learning So what role should symbols play in theories of the mind? For our answer...read on! Paper: arxiv.org/abs/2508.05776 1/n

Somewhat exhausted but very happily and proudly looking back at #CCN2025 & ready to pass the torch to NEW Amsterdam for #CCN2026 🥳Please fill out the survey 👇 to give input to the organizing team led by @neurograce.bsky.social and @toddgureckis.bsky.social @NYU!

whelp, they changed the link: news.harvard.edu/gazette/stor...

Are similar representations in neural nets evidence of shared computation? In new theory work w/ Lukas Braun (lukasbraun.com) & @saxelab.bsky.social, we prove that representational comparisons are ill-posed in general, unless networks are efficient. @icmlconf.bsky.social @cogcompneuro.bsky.social

Our #CCN2025 GAC debate w/ @gretatuckute.bsky.social, Gemma Roig (www.cvai.cs.uni-frankfurt.de), Jacqueline Gottlieb (gottlieblab.com), Klaus Oberauer, @mschrimpf.bsky.social &‬ @brittawestner.bsky.social asks: 📊 What benchmarks are useful for cognitive science? 💭 2025.ccneuro.org/gac

Can't wait for #CCN2025! Drop by to say hi to me / collaborators!