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!

Huge congratulations to Q on becoming Presidential Assistant Professor at City U Hong Kong! Q is truly one of the best researchers building neural network models of human memory. So excited to see all of the amazing things his lab will do!

Reminder that deadline for applying for our Encode: AI for (neuro)Science fellowship is coming up (30th!) encode.pillar.vc/apply

🔆 Announcement time!! 🔆 In Spring 2026, I will be joining the NYU Psychology department as an Assistant Professor! My lab will study the computational cognitive science of moral judgment and how we can use that knowledge to build AI systems that are safe and aligned with human values.

A very cool project and an excellent PI/team!

Looking for an exciting fellowship in neuroAI, with competitive salary (~£100k)? Our group is hiring for a project on AI for Systems-Behavioral Neuroscience, more info here: encode.pillar.vc/projects/beh... General info: encode.pillar.vc 🧪 #compneuro #neuroai #neuroscience #sciencejobs

Recruiting phd/postdocs to mentor Undergrad Awardees!! This program brings UGs from across the 🌎 considering a career in neuro research Duties: meet students on 1st day, take them to a poster session, help them feel welcome. Apply: (very short!) form forms.gle/9hCniCA29ky5...

Excited to share a new paper with Daphna Shohamy & @nathanieldaw.bsky.social! Using fmri reactivation, we measured *when* people build preferences from memory. We found that people tend to do so before a choice, but that they also wait until choice time when options are linked to multiple memories

Excited to share our preprint "Fast-timescale hippocampal processes bridge between slowly unfurling neocortical states during memory search" 🧠✨ We leverage iEEG to elucidate the fast neural mechanisms by which long multimodal narratives are unfurled in continuous memory-search tinyurl.com/wjkr3dvf

announcing this year's neuroeconomics summer school, this time outside paris. too many great lecturers to list, even too many great organizers (plassmann,glimcher,tymula,kable,me). & you wouldnt believe all the past students and where they are now. sign up: www.insead.edu/events/neuro...

Amazing opportunity for postdoc candidates interested in memory and computational modeling!

Super excited to be making this a permanent thing. It has been an exciting ride so far!!! Thanks so much to @plantevolution.bsky.social for sharing it with me for the last year and great news that you are staying with @elife.bsky.social, going forward.

🎉 eLife is pleased to announce Timothy Behrens (@behrenstimb.bsky.social) as our new Editor-in-Chief! A distinguished neuroscientist and long-time supporter, Tim will lead our efforts in transforming research communication for all.

New modelling of how episodic memory can arise from spatial mapping, just out in Nature: www.nature.com/articles/s41...

My article "A comprehensive assessment of current methods for measuring metacognition" is finally out in Nature Communications 🎉 If you work on metacognition and think you know the psychometric properties of your favorite measure, you may be surprised. www.nature.com/articles/s41...

#Cosyne is now on Bluesky y'all! bsky.app/profile/cosy... #neuroscience #NeuroAI

Excited to release what we’ve been working on at Amaranth Foundation, our latest whitepaper, NeuroAI for AI safety! A detailed, ambitious roadmap for how neuroscience research can help build safer AI systems while accelerating both virtual neuroscience and neurotech. 1/N

@aesagtekin.bsky.social hi Erden! Would you mind adding me to the comp neuro starter pack?

How do we decide which goals to pursue? Here, we introduce the notion of *latent learning progress* to explain human goal selection and inspire advances in the development of autotelic machines. osf.io/preprints/ps... With Cédric Colas, Pierre-Yves Oudeyer, and Anne Collins

Come join us! Wei Ji Ma and I are recruiting a postdoc to study human planning in chess using a massive dataset of online chess matches. The postdoc will join both of our labs, as well as an NSF-funded collaboration with Tom Griffith's lab at Princeton. Apply at: apply.interfolio.com/139253