Super proud to have contributed to this amazing team effort, led by @sreejan.bsky.social and @botoscsabi.bsky.social! We asked: Which AI models learn to play video games like humans, comparing both behavior and internal representations. The answer surprised us! Check out our paper and post below

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...

New paper in Imaging Neuroscience by Olivia R. Christiano and Sebastian Michelmann: Reliability and signal comparison of OPM-MEG, fMRI & iEEG in a repeated movie viewing paradigm doi.org/10.1162/IMAG...

New Annual Review with @nathanieldaw.bsky.social: “Planning in the Brain: It's Not What You Think It Is.” We argue that the brain's 'planning' machinery is mostly used for learning from simulated experience, and that thinking prospectively at decision time is just one special case of this process.

24-Hour Final Call for BAMB! 2026 ⏳ Join us in Barcelona (July 12–23) and learn from our expert faculty: @meganakpeters.bsky.social @marcelomattar.bsky.social @khamascience.bsky.social @thecharleywu.bsky.social Apply now: www.bambschool.org

1/ New preprint out! “Control of cortical population activity with patterned microstimulation.” We show that brief training with multi-electrode stimulation pulses is enough to steer prefrontal population activity along desired trajectories in awake macaques. tinyurl.com/3d6kv26w

Come be our colleague! The Center for Neural Science at NYU is accepting applications at the Assistant Professor level in computational neuroscience and/or neural engineering apply.interfolio.com/182074

News! I've joined the Astera Institute to lead its neuroscience based AGI research. Backed by $1B+ commitment over the coming decade, my team will explore novel, brain-inspired architectures and algos toward safe, efficient human-like AGI, working alongside Doris Tsao. 1/ astera.org/dileep-georg...

I'm excited to announce that I had my first (co-authored) book published today! "The Rational Use of Cognitive Resources" with Falk Lieder and Tom Griffiths (@cocoscilab.bsky.social ). You can read it for free! (see thread)

Excited to launch Principia, a nonprofit research organisation at the intersection of deep learning theory and AI safety. Our goal is to develop theory for modern machine learning systems that can help us understand complex network behaviors, including those critical for AI safety and alignment. 1

Applications for BAMB! 2026 are officially open! Join us in Barcelona (July 12–23) to master the art of behavioral modeling with our incredible faculty: @meganakpeters.bsky.social @marcelomattar.bsky.social @khamascience.bsky.social @thecharleywu.bsky.social Apply now here: www.bambschool.org

Thrilled that my paper is out in the @nature.com. We explored how the brain builds complex tasks by compositionally combining simpler sub-task representations. The brain flexibly performs multiple tasks by dynamically reusing neural subspaces for sensory inputs and motor actions rdcu.be/eRVUk

Amazing opportunity!

Amazing postdoc opportunity!

Our experiences have countless details, and it can be hard to know which matter. How can we behave effectively in the future when, right now, we don't know what we'll need? Out today in @nathumbehav.nature.com , @marcelomattar.bsky.social and I find that people solve this by using episodic memory.

How terrific! Free in person summer school for future PhDs who want more quantitative training before grad school; happening at one of the best places in the world to pursue it (the Gatsby at UCL).

New preprint from the lab! A frontal motor circuit for economic decisions and actions: www.biorxiv.org/content/10.6... We use a novel task in mice, cortex-wide imaging and optogenetics, NPX recording and modelling to reveal a circuit mechanism that transforms abstract decisions to spatial actions.

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)

Tiny recurrent neural networks for discovering cognitive strategies — a Tools of the Trade article by Li Ji-An #neuroscience #neuroskyence www.nature.com/articles/s41...

Great opportunity for PhD applicants this year!

Do you want to fund AI alignment research? The AISI Alignment Team and I have reviewed >800 Alignment Project Applications from 42 countries, and we have ~100 that are very promising. Unfortunately, this means we have a £13-17M funding gap! Thread with details! 🧵

Task learning is compositional, so would behavior be! www.nature.com/articles/s41...

starting fall 2026 i'll be an assistant professor at @upenn.edu 🥳 my lab will develop scalable models/theories of human behavior, focused on memory and perception currently recruiting PhD students in psychology, neuroscience, & computer science! reach out if you're interested 😊

My paper is out! Computational modeling of error patterns during reward-based learning show evidence that habit learning (value free!) supplements working memory in 7 human data sets. rdcu.be/eQjLN

I'm recruiting a grad student! My lab at NYU (psych dept) studies the computational basis of moral cognition and aims to build AI systems that are aligned with human values. Now admitting a PhD student for Fall 2026. Apps due 12/1. sites.google.com/corp/site/sy...

I will be recruiting 🌟PhD students🌟 for my newish lab! If you're interested in learning & memory mechanisms applied to individual, interactive & collective behavior using computational modeling, real-world experiments and fMRI, email me! RTs much appreciated 🙏 rouhanilab.com

So happy to see this manuscript on biorxiv after so many years in the making! Thank you Matthieu for all your hard work, and @sreejan.bsky.social for all of the novel contributions and for pushing it through the finish line! And looking forward to comments from the community!

🚀Excited to share our project: Canonical Representational Mapping for Cognitive Neuroscience. @schottdorflab.bsky.social and I propose a novel multivariate method to isolate neural representations aligned with specific cognitive hypotheses 🧵https://www.biorxiv.org/content/10.1101/2025.09.01.673485v1

What are your pros/cons of using AI in science? Feel free to respond wrt use or harm in the design of experiments, coding experiments, coding analysis, brain storming analysis, summarizing literature, synthesis of ideas, modeling, novel model development, mathematical proofs, writing, editing.

🚨We believe this is a major step forward in how we study hippocampus function in healthy humans. Using novel behavioral tasks, fMRI, RL & RNN modeling, and transcranial ultrasound stimulation (TUS), we demonstrate the causal role of hippocampus in relational structure learning.

I'm honored to serve as Expert Advisor for "The Alignment Project", an international initiative dedicated to ensuring AI systems are safe and beneficial. They are providing significant funding, compute, and collaboration opportunities for researchers---including those in cogsci/neuro. Please apply!

I am very excited that AISI is announcing over £15M in funding for AI alignment and control, in partnership with other governments, industry, VCs, and philanthropists! Here is a 🧵 about why it is important to bring more independent ideas and expertise into this space. alignmentproject.aisi.gov.uk

Are similar representations in neural nets evidence of shared computation? In new theory work w/ Lukas Braun (lukasbraun.com) & @saxelab.bsky.social, we prove that representational comparisons are ill-posed in general, unless networks are efficient. @icmlconf.bsky.social @cogcompneuro.bsky.social

Our new paper is out! When navigating through an environment, how do we combine our general sense of direction with known landmark states? To explore this, @denislan.bsky.social used a task that allowed subjects (or neural networks) to choose either their next action or next state at each step.

Thinking of applying to US-based Ph.D. programs in neuroscience, psychology, or cognitive science? We’ve got your back! NYU’s Application Support Group is a student-led, free mentorship program offering 1-on-1 support and guidance. Apply now! docs.google.com/forms/d/e/1F...

🚨 Fully Funded PhD positions Gonda Brain Institute, Sharp Lab We will explore how people build and deploy world models efficiently for planning and decision making. We will also seek to characterize how world models construal and use is biased in anxiety. Deadline: 1 Sept 2025. Please share!

📣 I'm looking for a postdoc to join my lab at NYU! Come work with me on a principled, theory-driven approach to studying language, learning, and reasoning, in humans and AI agents. Apply here: apply.interfolio.com/170656 And come chat with me at #CogSci2025 if interested!

Fantastic work by our (now former) lab manager Liv Christiano. We assess the test-retest reliability of OPM and compare it to fMRI and iEEG. 🧠📄🧵

How reliable is OPM-MEG, and how does it compare to other neuroimaging modalities? 🤔 In a new preprint with ‪@s-michelmann.bsky.social‬, we evaluate the reliability of OPM-MEG within & between individuals, and compare it to fMRI & iEEG during repeated movie viewing. 🧠 📄 doi.org/10.1101/2025...

Beautiful work by @neurozz.bsky.social and @annaschapiro.bsky.social !

Excited to share a new preprint w/ @annaschapiro.bsky.social! Why are there gradients of plasticity and sparsity along the neocortex–hippocampus hierarchy? We show that brain-like organization of these properties emerges in ANNs that meta-learn layer-wise plasticity and sparsity. bit.ly/4kB1yg5

Our newest paper, led by Romy Froemer and @fredcallaway.bsky.social‬, is now out in Open Mind: “Considering What We Know and What We Don’t Know: Expectations and Confidence Guide Value Integration in Value-Based Decision-Making” direct.mit.edu/opmi/article...

Want to know what kinds of studies webcam-based eye tracking can be used for? Here's our take on the current tech. This certainly isn't the first paper on this topic, but it provides some converging evidence about the viability of eye tracking with online methods. online.ucpress.edu/collabra/art...

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

Excited to share our upcoming workshop on neuroscience, reinforcement learning, and decision making at RLDM 2025 in Dublin, Ireland — June 11–14! Check out the terrific speaker lineup: 🔗 sites.google.com/view/neurorl... Co-organized with @angelaradulescu.bsky.social @rldmdublin2025.bsky.social

Now out 🚨 🧪 : our preprint describing dynamics of an extended frontal lobe network (4 cortical regions) in monkeys solving complex multi-step spatial problems! We observe distributed codes for goals, states, and planned moves across PFC! www.biorxiv.org/content/10.1... #neuroscience #compneuro 🧵👇

📢 I'm happy to share the preprint: _Reward-Aware Proto-Representations in Reinforcement Learning_ ‼️ My PhD student, Hon Tik Tse, led this work, and my MSc student, Siddarth Chandrasekar, assisted us. arxiv.org/abs/2505.16217 Basically, it's the SR with rewards. See below 👇

🤖🧠 Paper out in Nature Communications! 🧠🤖 Bayesian models can learn rapidly. Neural networks can handle messy, naturalistic data. How can we combine these strengths? Our answer: Use meta-learning to distill Bayesian priors into a neural network! www.nature.com/articles/s41... 1/n

Congratulations, Fred! Fred has been an outstanding postdoc in my lab. He combines exceptional experimental and modeling skills and is a caring and attentive mentor. This is an excellent opportunity for prospective students and postdocs looking for a lab to join!