Eyas Ayesh
@eyasayesh.bsky.social
CoCo Fellow and Cognition & Brain Science PhD • Interested in Language, Brains, and AI Safety
Our #CogSci2026 paper on **self-reported variations in inner language** got the Disciplinary Diversity & Integration Award (philosophy + cogsci!) Paper: escholarship.org/uc/item/1qr6... +a journal-length preprint coming soon By Raquel Krempel, Jin Li @ruimingao.bsky.social @ruifengyu.bsky.social
escholarship.org
Excited to be at #CCN2026 in NYC! I’ll be presenting our poster, “Divergent Scaling Patterns in the Auditory Cortex vs. Other Brain Regions Reveal Distinct Sources of LLM–Brain Alignment,” with @neuranna.bsky.social 📌 Poster B78 · Session B 🗓️ Tuesday, August 4 Come say hi and check it out!
How many subjects do you actually need for reliable task fMRI studies? Much larger samples are often recommended—but that depends on how you analyze the data. New preprint with @neuranna.bsky.social biorxiv.org/content/10.6...
Scaling laws for group-constrained, subject-specific task fMRI analyses
Functional MRI provides a powerful way to characterize the architecture of the human brain. Yet individual brains often vary in the exact anatomic locations of functionally specific regions; as a resu...
biorxiv.org
🚨New position piece! “Deception-Enabling Cognitive Capabilities in AI Systems” 🧠🤖 w/ @dobyrahnev.bsky.social @apurvaratan.bsky.social @neuranna.bsky.social To better identify and mitigate deceptive AI behaviors, we need a deeper understanding of their complex and multifaceted nature...🧵👇
