
Will Decker
@jwilldecker
PhD student @GeorgiaTech 🐝 and LIT Lab. Interested in how brains and machines learn + know about the world and use langauage.
ID: 739132883764404225
http://w-decker.github.io 04-06-2016 16:33:06
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176 Followers
231 Following




1/ New work! Localizing the human language network in ~3.5 minutes using speeded reading. Co-led with Elizabeth L, and with Aalok Sathe आलोक साठे Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦 Paper: biorxiv.org/content/10.110… Code: rb.gy/x2rjzj

There’s a lot of exiting new developments happening in language sciences. Roger Levy, Kara Federmeier @CABlabUIUC, & Christopher Manning recently organized a wonderful U.S. National Science Foundation workshop on New Horizons in Language Science: Large Language Models, Language Structure, and the Cognitive and



Have you ever wondered what’s going on in a baby’s brain when she looks at you? I have! So, Rebecca Saxe and I set out to investigate.



Thanks Nature Rev Neurosci for the chance to clarify that1️⃣the language network is not monolithic (we never said it was, but happy to emphasize); and2️⃣language network boundaries don't depend on a specific 'localizer' and can be recovered from task-free data: tinyurl.com/5y3rhfrh

🚨New paper!🚨My first (co)first-authored paper is now out in Nature Human Behaviour! We show that neural populations in the language network differ in the size of their temporal receptive windows rdcu.be/dR0sz co-led w/ Tamar Regev 1/ 🧵

Excited to have been named one of MIT Technology Review's 35 under 35! I am happy that, these days, language & human cognition are topics that the world cares deeply about (thanks to recent developments in AI). Not only are these topics impactful, they are also fun to study!


*TWO* job searches Emory Psychology ‼️ Open rank Neural Mechanisms of Behavior in Small Animal Systems apply.interfolio.com/153594 Assoc/Asst Professor, Clinical Science apply.interfolio.com/152692 And I’m recruiting a PhD student! Several opportunities to join our amazing dept ✨


1/6 I usually don’t comment on these things, but Rylan Schaeffer et al.'s paper contains enough misconceptions that I thought it might be useful to address them. In short, effective dimensionality is not the whole story for model-brain linear regression, for several reasons:




🚀At NeurIPS Conference tomorrow? Don't miss Nikolas McNeal and Mainak Deb 's poster at the UniReps workshop on the adversarial sensitivity of vision encoding models of fMRI responses! A brief teaser about what they find.

