Jesse Geerts

@jessegeerts.bsky.social

Cognitive neuroscientist and AI researcher

Jeee 🐦‍⬛ I am very proud of our joint effort with @sreejan.bsky.social on the project "Reason to Play" LRMs show human-like rule discovery, and their hidden states predict human brain activity during gameplay 10x better than previous methods Interactive demo + paper: botcs.github.io/reason-to-pl...

Reason to Play - Behavioral and Brain Alignment

32 fMRI-scanned humans and 8 frontier open weight LLMs play ARC-AGI like games with no rules given. The reasoning models match the human learning trajectories and their hidden states predict human bra...

botcs.github.io

My travel to Cosyne was barred by the Trump admin, so I'm here on my personal dime. I care about the COSYNE community, I committed to co-chairing. And I always learn here. But the worst part about this travel ban is my lab colleagues— students and fellows—couldn't come. /1

We are excited to have Dr. Tim Kietzmann from Osnabrück University for our next seminar! This will be an in-person plus online seminar! 🗓️Wed 11 March 2026 ⏰2-3pm GMT Talk title: NeuroAI - the synergy between machine learning and neuroscience Registration: www.eventbrite.co.uk/e/ucl-neuroa...

UCL NeuroAI Talk Series

A series of NeuroAI themed talks organised by the UCL NeuroAI community. Talks will continue on a monthly basis.

eventbrite.co.uk

I’m excited to share my first PhD preprint!🎉 We studied how interactions between medial entorhinal cortex (MEC) and hippocampus shape theta sequences during navigation, and asked whether some “planning-like” patterns in hippocampus could arise from upstream MEC dynamics. (1/8)

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What aspects of human knowledge do vision models like CLIP fail to capture, and how can we improve them? We suggest models miss key global organization; aligning them makes them more robust. Check out LukasMuttenthaler's work, finally out (in Nature!?) www.nature.com/articles/s41... + our blog! 1/3

Aligning machine and human visual representations across abstraction levels - Nature

Aligning foundation models with human judgments enables them to more accurately approximate human behaviour and uncertainty across various levels of visual abstraction, while additionally improving th...

nature.com