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Jiajie Zou

@jiajiezou.bsky.social
51 followers 51 following 19 posts

Neuroscience Researcher | Language, Prediction, & Audition | Postdoc Tuebingen, Germany

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Laura Gwilliams @lauragwilliams.bsky.social · 06/10/2026
delighted to share my review article, out now in Trends in Cognitive Sciences! i have been thinking a lot about dynamics lately. this article outlines three key principles - persistence, parallelism, and time-stamped encoding - that support human speech comprehension 🧠✨🌀
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Jiajie Zou @jiajiezou.bsky.social · 28/09/2026
Going to SNL? If you’re interested in natural speech processing or prediction, come check out our poster C91! We’d love to chat. See you there!😍
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Ev Fedorenko @evfedorenko.bsky.social · 01/09/2026
Go, @andreadevarda.bsky.social! A beautiful and comprehensive study! 🔑 findng: behav. measures are ~fully reducible to simple predictors of processing effort (surprisal, word length+frequency), but for 🧠 measures, LLM embeddings carry additional predictive power, likely capturing aspects of meaning.
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David Poeppel @davidpoeppel.bsky.social · 01/09/2026
Speech production is fast, complicated, cool (when the right thing is said...) Covert speech is a nice trick to study this. If you like speech planning, forward models, efference copies, brains this work is (we hope) helpful to clarify the brain mechs. #neuroskyence www.pnas.org/doi/10.1073/...
pnas.org
Temporally structured motor and auditory representations in covert syllable production | PNAS
Inner speaking—the deliberate generation of speech through covert production mechanisms—is a common human experience. Current accounts propose that...
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Liina Pylkkänen @liinapy.bsky.social · 16/08/2026
✨Excited to announce a new post-doctoral position in my lab, focussed on the neural capacity limits of language processing using magnetoencephalography! Apply here: wp.nyu.edu/neurolinglab...
wp.nyu.edu
Postdoctoral position – NYU Neurolinguistics Lab
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Jiajie Zou @jiajiezou.bsky.social · 21/07/2026
intrinsic alpha rhythm is related to the maximum rate of speech processing? That is very surprising to me.
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languagemit.bsky.social @languagemit.bsky.social · 20/06/2026
—— Open Mind is MIT Press’s Diamond Open Access Cognitive Science journal. We now have our first Impact Factor: 2.9 as of June 2026 Submit your papers to Open Mind direct.mit.edu/opmi
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David Poeppel @davidpoeppel.bsky.social · 11/06/2026
www.youtube.com/watch?v=kcm4...
youtube.com
How Does The Brain Process Language? | Prof. David Poeppel
YouTube video by Wandering Thoughts
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Federico Adolfi @fedeadolfi.bsky.social · 27/05/2026
Next week I'll be at University of Göttingen, Campus Institute Data Science. Come say hi ! On Thursday I'll give a talk in the CIDAS lecture series: on the integration of interpretability theory and experiment across AI and the cognitive sciences. www.uni-goettingen.de/en/690135.html
04.06.2026, 14:15 Uhr

Dr. Federico Adolfi

On the Integration of Interpretability Theory and Experiment across Al and the Cognitive Sciences.

Vortrag: Goldschmidtstraße 1, Raum 1.130,
Get-Together: 2. Stock
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Philip Sulewski @psulewski.bsky.social · 26/05/2026
Now out in Nature Neuroscience: "Fixation duration on natural scenes is explained by memory encoding not processing demand". www.nature.com/articles/s41... Our eyes don't linger because recognition is hard; they linger to remember. Let me take you on a quick tour. 🧵
nature.com
Fixation duration on natural scenes is explained by memory encoding not processing demand - Nature Neuroscience
By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...
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Sathvik @sathvik.bsky.social · 22/05/2026
What (if anything) can LLMs tell us about human language processing? I discuss this question and how psycholinguistics is moving forward with @colinphillips.bsky.social , to appear in BBS as a commentary on Futrell & Mahowald's article about LLMs & linguistics. arxiv.org/abs/2604.09466
Title & Abstract:
Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities
Sathvik Nair & Colin Phillips
Commentary on Futrell, R. & Mahowald, K. (in press). How Linguistics Learned to Stop Worrying and Love the Language Models. Behavioral and Brain Sciences. http://doi.org/10.1017/S0140525X2510112X
Abstract
Under the lens of Marr’s levels of analysis, we critique and extend the authors’ two points about language models (LMs) and language processing: first, predicting upcoming linguistic information based on context is key to language processing, and second, that many advances in psycholinguistics would be impossible without LLMs. We also outline directions combining LLMs’ strengths with psycholinguistic models.
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Roxana Zeraati @roxana-zeraati.bsky.social · 21/05/2026
Some incredibly exciting news that still feels a bit surreal: I am starting my research group @mpicybernetics.bsky.social! The best part? We are hiring at all levels! Curious about the science we plan to tackle, read along :) #NeuroSky
An illustration of different species, from worms to humans, foraging, indicating the main topic of our research group.
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Laura Gwilliams @lauragwilliams.bsky.social · 16/05/2026
check out our latest preprint led by the one and only @mdhk.net !! using intracranial EEG, we find that distinct neural populations within the temporal lobe encode preceding context, and future context, during naturalistic speech comprehension! www.biorxiv.org/content/10.6...
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Junyuan Zhao @jyzz22.bsky.social · 18/05/2026
Excited to share our work on linguistic composition x LLM-brain alignment! Syntax, compositional semantics, and associative semantics differentially modulate alignment on surprisal-matched materials, revealing shared and distinct mechanisms in LLMs and the brain www.biorxiv.org/content/10.6...
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Max Planck Institute for Psycholinguistics @mpi-nl.bsky.social · 18/05/2026
Prosody versus syntax, or prosody and syntax? Evaluating accounts of delta-band tracking. New publication by Cas Coopmans & @andreaeyleen.bsky.social doi.org/10.1017/9781009295888.021
doi.org
Prosody versus Syntax, or Prosody and Syntax? Evaluating Accounts of Delta-Band Tracking (Chapter 17) - Rhythms of Speech and Language
Rhythms of Speech and Language - May 2026
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Elliot Murphy @elliot-murphy.bsky.social · 30/04/2026
Very important work 🧠 👀 Spurious alignment between large language models and brains can emerge from non-robust methods and overlooked confounds www.nature.com/articles/s41...
nature.com
Spurious alignment between large language models and brains can emerge from non-robust methods and overlooked confounds - Nature Communications
Whether large language models (LLMs) process language in a human-like manner remains unclear. Here, the authors re-examine prior LLM-to-brain mapping results, demonstrating that LLM-brain alignment ca...
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Jiajie Zou @jiajiezou.bsky.social · 22/04/2026
New paper 🌟out now in Nat. Neurosci.: www.nature.com/articles/s41.... With advisors @davidpoeppel.bsky.social and @Nai! We show that, while LLMs are optimized to predict the next word, the human brain modulates prediction efficiency by strategically grouping words into constituents. 1/n More 👇
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David Poeppel @davidpoeppel.bsky.social · 21/04/2026
New paper that merits a read (Im totally unbiased...not). Simple, straightforward, impactful message. Prediction a la LLM is nice. Constituent-constrained prediction is nicer. @jiajiezou.bsky.social and Nai Ding show brain, behavioral, MEG, ECoG data. www.nature.com/articles/s41... #neuroskyence
nature.com
Constituent-constrained word prediction during language comprehension - Nature Neuroscience
Zou et al. reveal a key difference between human brains and large language models (LLMs). While LLMs are optimized to predict the next word, the human brain modulates prediction efficiency by strategi...
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