Cognitive scientist @UCMerced // PI of Language, Interaction, & Cognition (LInC) lab: https://xitter.cf/t.co/rFNQ8DuaXq // Now mostly on Bsky: https://xitter.cf/t.co/E1BWpcYB5S
Merced, CA
Joined August 2016
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🚨 New open-access paper out now in PB&R: link.springer.com/article/10…
We (w/ @LanguageMIT, @AphasiaLab) explore how individuals with aphasia interpret sentences & whether their comprehension difficulties stem from increased expectations of noise in language input. 🧵👇
Rachel Ryskin retweeted
📜 This study is now out in Nature Communications! Using precision fMRI, we show that the brain's language network stays remarkably stable with age while the domain-general multiple demand network showed altered activity patterns in older adults. nature.com/articles/s41467-0…
[NEW PREPRINT!] The language network ages well biorxiv.org/cgi/content/shor…
Co-led with Niharika Jhingan, in collaboration with @ev_fedorenko, @AphasiaLab, @MVarkanitsa, @raryksin, & Idan Blank.
🧵 Details 👇
Rachel Ryskin retweeted
1/7 If you're at CogSci 2025, I'd love to see you at my talk on Friday 1pm PDT in Nob Hill A! I'll be talking about our work towards an implemented computational model of noisy-channel comprehension (with @postylem, @LanguageMIT, and @roger_p_levy).
Rachel Ryskin retweeted
Looking forward to attending #cogsci2025! I’m especially excited to meet students who will be applying to PhD programs in Computational Ling/CogSci in the coming cycle.
Please reach out if you want to meet up and chat! Email is best, but DM also works if you must
quick🧵:
ALT Placeholders for 3 students (number arbitrarily chosen) and me - to signify my eventual group!
Rachel Ryskin retweeted
New brain/language study w/ @ev_fedorenko! We applied task-agnostic individualized functional connectomics (iFC) to the entire history of fMRI in the Fedorenko lab, parcellating nearly 1200 brains into networks based on activity fluctuations alone. doi.org/10.1101/2025.03.29.6… . 🧵
Rachel Ryskin retweeted
Interested in how language production is regulated and controlled? Here's an update, in light of new developments in the cognitive control literature. nature.com/articles/s44159-0…
5/ What about ppl w/ aphasia?
✅ They rely more on noisy-channel inferences than healthy adults, even when we account for differences in guessing btwn populations using a hierarchical mixture model.
🔹 Unlike healthy adults, their ability to adapt to noise remains unclear.
Rachel Ryskin retweeted
Glad to share that our paper (with @rljfutrell) is now on JML. In this paper, we proposed strategic memory allocation as a mechanism to handle less predictable but more informative linguistic units.
Check out this link for more details:
sciencedirect.com/science/ar…
Rachel Ryskin retweeted
The reply to our NRN piece (nature.com/articles/s41583-0…) by Drijvers et al. presented a chance to clarify common confusions about our work on the language network (LN) and the functional localization approach more generally: rdcu.be/d5rkJ. 🧵1/n w/@neuranna @tamaregev
Rachel Ryskin retweeted
New paper with @alexanderdfung, @PramodRT9 , @jessica__chomik , @Nancy_Kanwisher, @ev_fedorenko on the representations that underlie our intuitive physical reasoning about the world. Thread 🧵about our new preprint 📄✨linked here: tinyurl.com/intphyslang 1/10
Rachel Ryskin retweeted
I'm recruiting PhD students this cycle! My lab works at the intersection of information theory, cognition, language, and AI. Wanna hear more? I asked notebookLM to generate a podcast just for you (but pls take it with a big grain of salt...)
youtu.be/9L04S4jvspI
Rachel Ryskin retweeted
the main theme of this paper as an image:
(more relevant than the auto-image of participant ages)
The Effort of Repairing a Misperceived Word Can Impair Perception of Following Words, Especially for Listeners With Cochlear Implants dlvr.it/TG6J8y
Rachel Ryskin retweeted
🚨PREPRINT ALERT🚨 New paper lead by @17copeal We use co-registration of EEG and eye movements to examine how context processing unfolds across multiple fixations in natural reading. Our first full co-registration reading study. Check it out!!
doi.org/10.22541/au.17308124…
Rachel Ryskin retweeted
Very excited about new paper with the amazing Susan Goldin-Meadow: Children creating language engage in whole-to-part learning. This suggests such learning is not driven by hard-to-segment input, but is a bias children bring to language: authors.elsevier.com/c/1j--r….
Rachel Ryskin retweeted
I'm recruiting PhD students + postdocs for my lab, coming to @JohnsHopkins in Fall 2025!
Our brand new lab is at the intersection of cognitive science and AI, using computational + behavioral methods to understand how language works in minds and machines.
Details below! (1/4)
