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📣 Reporting checklist for LLMs in behavioral and social science New article presenting a consensus-based reporting checklist (GUIDE-LLM) for the use of LLMs in the behavioral and social sciences to foster transparency, reproducibility, and ethical use. 🔗 www.nature.com/articles/s41...

🚨 Last chance to register - please share 🚨 📣 Behavioral Clones Workshop - Join us online! One-day workshop on behavioral clones — 🤖 AI systems that model human behavior — following the Machine+Behavior conference. 📅 May 20, 9 am - 6:15 pm (CET) 🔗 Register: www.eventbrite.ch/e/behavioral...

📣 Behavioral Clones Workshop - Join us online! A one-day workshop on behavioral clones — 🤖 AI systems that model human decision-making and social behavior — following the Machine Behavior conference. Join online via Zoom (no remote Q&A). Register at: www.eventbrite.ch/e/behavioral...

🚨 New preprint! 🚨 Building on our Nature Comms framework, we show that feedback shapes risk preferences across the lifespan—not always improving decisions, but sometimes inducing age-specific biases, including gambler’s fallacy in adults. osf.io/preprints/ps...

New article out in @natcomms.nature.com : Context induces distortions in value representations across multiple elicitation methods and learning modalities, with Magda Soukupova (first author) and @bsgarcia.bsky.social www.nature.com/articles/s41...

Have you ever felt a little guilty about using an LLM to power up your research? If so, I'd argue that it comes from having internalized a wrong model of what science is and what it is for. I develop the argument in my latest Medium piece: medium.com/@stefano.pal...

Our book is officially out and there is even an audiobook version! Unfortunately, it’s not narrated by us, so you’ll miss out on our lovely Italian/French accents (a tragic loss for audiobook history). Apparently, Amazon.fr has only three copies left: THANK YOU! www.amazon.fr/Decision-Mak...

Join us for Cognitive Science for Climate Change on May 26 at ENS Paris 🌍 Exploring how cognitive science and computational modelling can help us better understand climate action. Conveniently scheduled for those coming to Paris for #SBDM. 🎟️ More details: www.eventbrite.com/e/billets-co...

1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry 🎉) 📄: www.cell.com/trends/cogni... 🧵 : 👇

My lab will be present en masse at #sbdm2026 Paris. Here is a first sample of the posters, presented by @romanececchi.bsky.social "Dynamic range adaptation in vast decision spaces" and @fabiencerrotti.bsky.social "Correcting mis-conceptions and shaping preferences about energy sources with RL"

Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics and information integration during percept formation often distinguish clinical from nonclinical populations. Computational psychiatry can elucidate these variations through two primary approaches: (i) Bayesian modeling, which treats perception as an unconscious inference, and (ii) an active, information-seeking perspective (e.g., reinforcement learning), which frames perceptual switches as internal actions. Our synthesis aims to leverage multistability to bridge these computational psychiatry subfields, linking human and animal studies as well as connecting behavior to underlying neural mechanisms. Perceptual multistability emerges as a promising noninvasive tool for clinical applications, facilitating translational research and enhancing our mechanistic understanding of cognitive processes and their impairments.