🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

AI models are fascinating, impressive, and sometimes problematic. But what can they tell us about the human mind? In a new review paper, noahdgoodman and I discuss how modern AI can be used for cognitive modeling: osf.io/preprints/psya…

JOB OPENING: I'm looking to hire a full-time RA! If you know someone who interested in language and the brain and would be a great fit, please send them my way! Full details below:

Have you ever wished there was an easy way to run functional ROI analyses in Python? Look no more! Presenting 🧠funROI🧠 A massive effort from Ruimin Gao, with a demo and documentation included for easy usage. BIDS and nilearn-based! We welcome your feedback #fMRI #openscience

This course covers a lot of critical NeuroAI ground, check out the materials! A pleasure to guest lecture--always great discussions!

New brain/language study w/ Ev (like in 'evidence', not Eve) 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/10.1101/2025.0… . 🧵

Excited to share new work on the language system! Using a large fMRI dataset (n=772) we comprehensively search for language-selective regions across the brain. w/Aaron Wright, Ben Lipkin, and Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦 Link to the preprint: biorxiv.org/content/10.110… Thread below!👇🧵

Enjoyed giving a talk this morning at the "Intelligence: from AI to the brain and back" conference, taking place today at Georgia Tech!

"Why are US taxpayers funding Harvard?" These grants aren't charity. They're highly competitive contracts where the US government determines Harvard is the best institution for conducting specific research, and then pays Harvard for services rendered to US taxpayers.

Come check out our Spotlight paper - TopoNets at #ICLR2025! DM me if you're interested in discussing structured LLMs, vision models and brain-inspired algorithms in Singapore! 24 Apr 3:00pm-5:30pm - Hall 3 + Hall 2B #58 Website: toponets.github.io

New paper!🧠**The cerebellar components of the human language network** with: Hannah Small Moshe Poliak Greta Tuckute Ben Lipkin agata wolna Anila D'Mello and Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦 biorxiv.org/content/10.110… 1/n 🧵

**ecstatic** to share our ICLR 2025 paper: sparse components distinguish visual pathways & their alignment to neural networks, with Nancy Kanwisher @[email protected] and Meenakshi Khosla (openreview.net/forum?id=IqHeD…) 1/n

As a psych undergrad in St. Petersburg 6 years ago, I never imagined I’d be starting my own cognitive science lab at one of the world’s best research environments, to pursue the questions I find most important and meaningful. I’m beyond excited to share that I’ll be starting a

Accepting the first of two 2025 Troland Research Awards is Evelina Fedorenko of MIT Brain and Cognitive Sciences, for groundbreaking contributions and insights into the language network in the human brain. 🧠 #NASaward #NAS162 Watch now: ow.ly/R6gP50VIsih

Are you considering attending CogSci Society this year? Come to our workshop, 'Reasoning Across Minds and Machines', which features an exciting lineup of interdisciplinary research in AI and CogSci about reasoning. The workshop is W2 and visible along with the main conference.

MIT Mentor: Nancy Kanwisher @[email protected] (center) has guided more than 70 PhD students + postdocs during her career, including Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦 (left), Josh McDermott (center) + @Rebecca_Saxe (right), who are now her colleagues at the McGovern Institute. Learn more: indd.adobe.com/view/dce9d2fc-…

What are the organizing dimensions of language processing? We show that voxel responses are organized along 2 main axes: processing difficulty & meaning abstractness—revealing an interpretable, topographic representational basis for language processing shared across individuals.