Ever wondered how the hippocampal cognitive map is read-out? @changmin-yu.bsky.social @zilong-ji.bsky.social with Jake & John, show that, during navigation, theta sweeps indicate remembered goal-directions (cf. current/next movements or perceptual targets) 1/2 www.nature.com/articles/s41...
Jesse Geerts
@jessegeerts.bsky.social
Cognitive neuroscientist and AI researcher
I am honoured to share that I have been selected as a Thinking About Thinking Fellow for 2026.
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
On the latest episode, @braininspired.bsky.social with @juangallego.bsky.social about the wealth of evidence that supports the view that neural manifolds are real and useful, even if they may not completely solve the age-old mind-body problem. #neuroskyence www.thetransmitter.org/brain-inspir...
Juan Gallego on manifolds and populations of neurons
A wealth of evidence supports the view that neural manifolds are real and useful, even if they may not solve the age-old mind-body problem.
thetransmitter.org
How do we know that things we do will have the outcomes we expect? We chat to @tobywise.bsky.social about his research into the relationship between compulsivity and uncertainty. Go give it a listen! #BrainAwarenessWeek open.spotify.com/episode/2hyj...
How is compulsivity related to uncertainty?
Inside Neuroscience · Episode
open.spotify.com
Wonderful work by @weijiazh.bsky.social at #Cosyne2026, who beautifully navigated a busy poster session yesterday!
In the same session, also make sure to visit poster [3-135] by @weijiazh.bsky.social , who’s presenting joint work with @neurokim.bsky.social and Josh Jacobs showing that Human Single Neurons and Predictive Models Remap Differently in Reward and Transition Relearning
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
Excited to be at #COSYNE2026 ! I’m presenting our recent preprint with Francesca Greenstreet, @juangallego.bsky.social an and @clopathlab.bsky.social in today’s poster session [3-026] www.biorxiv.org/content/10.6...
I have just arrived at @cosynemeeting.bsky.social ! During my flight, as I thought about opening remarks (and had a glass of wine), I got to reflect on why I love neuroscience. Maybe other folks are doing the same and would like to read or add, so I thought I'd do something unusual and share!
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
🚨🚨New Preprint Alert!🚨🚨 www.biorxiv.org/content/10.6... Animal learning is painfully slow (at least initially). Yet, well trained animals can learn very fast, sometimes displaying few-shot inference. How does this transition occur?
biorxiv.org
Thrilled to finally share this work! 🧠🔊 Using a new reinforcement-free task we show mice (like humans) extract abstract structure from sound (unsupervised) & dCA1 is causally required by building factorised, orthogonal subspaces of abstract rules. Led by Dammy Onih! www.biorxiv.org/content/10.6...
biorxiv.org
Code for our multi-region motor learning model is now available on GitHub! github.com/jessegeerts/...
GitHub - jessegeerts/action-embedding: Action embeddings for RL - model of motor adaptation and generalization
Action embeddings for RL - model of motor adaptation and generalization - jessegeerts/action-embedding
github.com
🧠 New year, new preprint! Why does motor learning involve multiple brain regions? We propose that the cortico-cerebellar system learns a "map" of actions where similar movements are nearby, while basal ganglia do RL in this simplified space. www.biorxiv.org/content/10.6...
Updated work from @jessegeerts.bsky.social extending his results on transitive inference in transformers (including LLMs!) updated paper: arxiv.org/abs/2506.04289 bleeprint (what are we calling these?) below ⬇️
Relational reasoning and inductive bias in transformers and large language models
Transformer-based models have demonstrated remarkable reasoning abilities, but the mechanisms underlying relational reasoning remain poorly understood. We investigate how transformers perform \textit{...
arxiv.org
Update on this work! We've extended our transitive inference study to large language models 🧵
Update on this work! We've extended our transitive inference study to large language models 🧵
🧠 How do transformers learn relational reasoning? We trained small transformers on transitive inference (if A>B and B>C, then A>C) and discovered striking differences between learning paradigms. Our latest work reveals when and why AI systems generalize beyond training data 🤖
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)
With some trepidation, I'm putting this out into the world: gershmanlab.com/textbook.html It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.
New paper led by wonder postdocs Francesca Greenstreet and @jessegeerts.bsky.social and @clopathlab.bsky.social trying to understand why –in the "what for" sense– there are multiple motor learning systems –supervised and RL-based– in the brain. Check out Jesse's 🧵 www.biorxiv.org/content/10.6...
🧠 New year, new preprint! Why does motor learning involve multiple brain regions? We propose that the cortico-cerebellar system learns a "map" of actions where similar movements are nearby, while basal ganglia do RL in this simplified space. www.biorxiv.org/content/10.6...
Check out our new work on motor learning across multiple brain regions!
🧠 New year, new preprint! Why does motor learning involve multiple brain regions? We propose that the cortico-cerebellar system learns a "map" of actions where similar movements are nearby, while basal ganglia do RL in this simplified space. www.biorxiv.org/content/10.6...
🧠 New year, new preprint! Why does motor learning involve multiple brain regions? We propose that the cortico-cerebellar system learns a "map" of actions where similar movements are nearby, while basal ganglia do RL in this simplified space. www.biorxiv.org/content/10.6...
Thrilled to start 2026 as faculty in Psych & CS @ualberta.bsky.social + Amii.ca Fellow! 🥳 Recruiting students to develop theories of cognition in natural & artificial systems 🤖💭🧠. Find me at #NeurIPS2025 workshops (speaking coginterp.github.io/neurips2025 & organising @dataonbrainmind.bsky.social)
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
Excited to share that the full programme for the 2025 UCL NeuroAI Annual Conference is now live! 🧠🤖 @ucl-neuroai.bsky.social Spaces are limited, so register soon: lnkd.in/ehiKrSaf Full programme here: lnkd.in/e8cV3mAZ
We are delighted to support the 2025 @ucl-neurodomain.bsky.social NeuroAI Annual Conference. Join experts in neuroscience, AI, machine learning, and related fields on Wednesday 5 November 2025 at @uclchildhealth.bsky.social Details and registration: www.ucl.ac.uk/event-ticket...
Looks like a great conference---
Remember to submit an abstract to UCL NeuroAI 2025 by Wednesday! 🧠🤖 This will be a great opportunity to present your work to the local community, and we have a fantastic line-up of keynote speakers: @ucl-neuroai.bsky.social @sainsburywellcome.bsky.social
Really interesting work by Bakhurin and colleagues challenging the reward prediction error hypothesis of dopamine: www.nature.com/articles/s41... I love this figure which both echoes and undermines the famous figure from Schultz et al. (1997).
Remember to submit an abstract to UCL NeuroAI 2025 by Wednesday! 🧠🤖 This will be a great opportunity to present your work to the local community, and we have a fantastic line-up of keynote speakers: @ucl-neuroai.bsky.social @sainsburywellcome.bsky.social
Submission deadline extended! Submit your poster or lightning talk abstract by Wednesday 15th October 2025, 12:00pm
Remember to submit an abstract to UCL NeuroAI 2025 by Wednesday! 🧠🤖 This will be a great opportunity to present your work to the local community, and we have a fantastic line-up of keynote speakers: @ucl-neuroai.bsky.social @sainsburywellcome.bsky.social
Submission deadline extended! Submit your poster or lightning talk abstract by Wednesday 15th October 2025, 12:00pm