Inlay

Assistant Professor @ ISMMS NIH Director's Early Independence Awardee Lindau Nobel Laureate Young Scientist PI @ sinclaboratory.com Using computational models, fMRI, & intracranial EEG to study social inference, learning, empathy, loneliness, & well-being

Huge congratulations to the CCP’s newest PhDs! 🎓🎉 We are so proud of all your hard work, dedication, and accomplishments. Thrilled to see the incredible things you’ll do next! 🧠✨

🌵🏜️🌵 Out now in @cognitionjournal.bsky.social with @rbhui.bsky.social! If your advisor sends you an unclear email, do you interpret it as good or bad? 😏😱 In a new paper, we show how people make inferences about this type of ambiguous feedback during learning. www.sciencedirect.com/science/arti...

www.sciencedirect.com

We tend to interpret feedback in ways that confirm our pre-existing beliefs. Such confirmatory tendencies are often viewed as cognitive flaws, but mig…

Center for Computational Psychiatry

📣 New preprint 📣 "Neural Dynamics of Belief and Value Computations Guiding Strategic Social Decisions" We use EEG and computational modeling (combining learning + DDM) to explain participants' choices, RT, and neural signals in a strategic game. www.biorxiv.org/content/10.6...

Pointing out that “everyone else is already doing it!” is a classic way to motivate prosocial behavior. But how can we encourage actions which aren't popular yet? In a new paper in @jexpsocpsych.bsky.social, Mike Norton and I had a lot of fun testing a method using "collective streaks." (1/5)

🚨🚨 The Social Learning and Decisions Lab is hiring! 🚨🚨 We're looking for a postbacc project coordinator/research assistant to join our team this summer. More details about the position and how to apply here: drive.google.com/file/d/1ySeA... Please share widely and reach out with any questions!

Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:

A recent paper by Epp et al. in NN claimed that ~40% of reported BOLD findings could be misinterpreted. In our reanalysis, we identified several statistical issues that, in our view, undermine these conclusions. www.biorxiv.org/content/10.6... 👇 1/11

Computational models are a key part of science but discovering new ones is hard! DataDIVER discovers concise models from data, which surface new mechanistic ideas and clear predictions for future experiments From Google Deepmind Neuroscience Lab + collaborators www.biorxiv.org/content/10.6...

Caroline Charpentier, PhD

Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...

Two poster presentations from my group at #sbdm2026 in Paris. Magdalena Soukupová on the social learning mechanisms of human goal selection and @pierreledenmat.bsky.social on (lack of) mentalizing in social learning.

Successful strategic behavior must be grounded in beliefs about the opponent and her intentions. While many potential models have been proposed to explain choices in such situations, the neural mechanisms that govern learning and choice in complex strategic contexts remain poorly understood. Here, we use a computational model that combines dynamic learning and choice mechanisms to explain both choices and response times of human participants engaged in a competitive strategic task. Using electroencephalography (EEG), we identify temporally structured stages of neural processing that support an evolving value-based decision process, corresponding to first- and second-order belief updates and evidence accumulation related to the comparison of action values. Gamma-band phase coupling between central and parietal EEG signals varied with individual winning rate, suggesting that strategic behavior involves coordinated information transfer across spatially remote areas. Together, our data characterize the temporally evolving neural dynamics of belief and valuation processes that underlie strategic choice and provide neural validation for assumptions embedded in computational models of this behavior. ### Competing Interest Statement The authors have declared no competing interest. European Research Council, 725355

How does your brain filter out the noise and focus enough to learn efficiently? In our newest preprint, we use intracranial recordings + computational modeling to explore how selective attention shapes learning and state representations in the human brain 🧠 www.biorxiv.org/content/10.6... 1/🧵