Preprint alert! Navigating Inflationary and Deflationary Claims Concerning Large Language Models Avoiding Cognitive Biases. Very fun and efficient collaboration with @giadapistilli.com To help cognitively bounded humans balancing hype and dismall of LLMs capabilities osf.io/preprints/ps...

Check out @bcdavidson.bsky.social's preprint (w/ @georgiaturner.bsky.social @orbenamy.bsky.social @livia-tomova.bsky.social and co.) about the (computational) consequences of social isolation in social media use during covid!

Braitenberg's Vehicles arrived yesterday and I'm already halfway through it. An amazingly funny, clear, and lucid treatment of the question of attributing higher cognitive functions to artificial systems. Obviously very timely for current debates in AI

This is the link to the previous study that served to the bases for our recent @pnas.org study on the optimality of choice-confirmation bias and perseveration. "Choice-Confirmation Bias and Gradual Perseveration in Human Reinforcement Learning" Open here: www.researchgate.net/publication/...

Following social isolation, adolescents show increased sensitivity to rewards during effort-based decision making and reward learning. @livia-tomova.bsky.social @sjblakemore.bsky.social @emilyanntowner.bsky.social @stepalminteri.bsky.social @lei-zhang.bsky.social www.nature.com/articles/s44...

New paper! By @livia-tomova.bsky.social, @emilyanntowner.bsky.social, Kirsten Thomas, @stepalminteri.bsky.social, @l32zhang.bsky.social Acute isolation is associated with increased reward seeking and reward learning in human adolescents. www.nature.com/articles/s44...

New paper our in @pnas.org, lead by @isabellehoxha.bsky.social with Léo Sperber. We use evolutionary simulation to assess and compare the adaptive value of positivity bias and gradual perseveration in reinforcement learning. Follow the thread below (and Isabelle!) for more details!

New paper our in @pnas.org, lead by @isabellehoxha.bsky.social with Léo Sperber. We use evolutionary simulation to assess and compare the adaptive value of positivity bias and gradual perseveration in reinforcement learning. Follow the thread below (and Isabelle!) for more details!

Ever wondered why you keep going to that restaurant with stale fries? Is it because you went often in the past (perseveration) or because you remember past good experiences better (positivity bias)? Our study out in PNAS investigates the normative basis for these biases www.pnas.org/doi/10.1073/...

After 6 wonderful years together, it’s time to say goodbye. Farewell to Magdalena Soukupova – brilliant scientist, pillar of the HRL team, and amazing human being (sic.). Whatever lab you join next will be very lucky to have you

🚨 New paper out in Mind & Society! Human reinforcement learning processes and biases: computational characterization and possible applications to behavioral public policy 🔗 link.springer.com/article/10.1...

🚨 New paper out in Mind & Society! Human reinforcement learning processes and biases: computational characterization and possible applications to behavioral public policy 🔗 link.springer.com/article/10.1...

if you are already at #CCN2025 go check @nicolasyax.bsky.social work where we try to teach meta-cognition to LLMs in a very cool satellite symposium.

Tomorrow @isabellehoxha.bsky.social will present for the first time a multi-lab effort to build the CORTEX database, a highly curated human RL database to investigate the computational bases of relative value encoding: go check the principles and the preliminary results! (N=3800 and growing!)

Tomorrow at #CCN2025 @carolinepioger.bsky.social is going to present un update on a quite controversial line of experimental findings that challenge the common currency hypotheses of decision-making values These findings bridges reinforcement learning and description-based choices

🎉 Excited to present a poster at #CCN2025 in Amsterdam! 📍 Aug 12, 1:30–4:30pm We show that experiential value neglect (Garcia et al., 2023) is robust to changes in how options and outcomes are represented. Also, people show reduced sensitivity to losses, especially in comparative decision-making.

Last few days of #vacation in #sicily

Thrilled that our paper on the mechanisms underlying social learning strategies is out! First big paper from my @erc.europa.eu & @kawresearch.bsky.social funded group. More to come! I'm currently looking to recruit two post docs, get in touch if you find this line of research interesting.

EP #4 | @stepalminteri.bsky.social mentions that students shouldn't hesitate reading the old classics/papers in psychology/neuroscience. He also recommends

🚀Join our team @tuda.bsky.social ! 🚀 I'm looking for 3 PhDs & 1 Postdoc for my @erc.europa.eu project “C4: Compositional Compression in Cognition and Culture” to study learning across individuals, teams, and cultural timescales 👉 PhD: hmc-lab.com/ERC_PhDs.html 👉 Postdoc: hmc-lab.com/ERC_Postdoc....

And the ubiquitous @alishiravand.bsky.social will be presenting no less than two posters, I guess, apparently during the same session! #RLDM2025

Lucky for you, lazy people at #RLDM2025, two of the best posters have apparently been put side-by-side: go check @maevalhotellier.bsky.social and @constancedestais.bsky.social posters!

I am old enough to be quite confident that finishing the 3.5KM open water Montecristo's challenge in Marseille will be my greatest personal achievement of 2025 🏊🐟 race.ip-links.net/DEFI25/Resul...

Go check Ali's work at #RLDM2025!

Check out new work led by @alexthewitty.bsky.social and in collaboration with @stepalminteri.bsky.social! We show that studying human learning under a more ecological social context, reveals more adaptive and flexible biases

nature.com/articles/s44220-025-00427-1 a challenging paper for computational psychiatry by @stepalminteri.bsky.social @mael-lebreton.bsky.social, but it's luckily not just a black/white picture with possibly state being better captured by behavioral tasks vs trait by self-reported questionnaires

New in Nature MentalHealth! with Vrizzi, Najar, Lemogne, and @mael-lebreton.bsky.social We tested whether behavioural and RL-based model parameters are test-retest reliable and predict mental health traits. The result? Not really. A cautionary tale for comp. psychiatry doi.org/10.1038/s442...

🧠 New paper in Open Mind! We show that LLM-based reinforcement learning agents encode relative reward values like humans, even when suboptimal and display a positivity bias. Work led by William Hayes w/ @nicolasyax.bsky.social doi.org/10.1162/opmi... #AI #LLM #RL

Positivity bias in social learning? Check our latest preprint! Great work by @alexthewitty.bsky.social and @thecharleywu.bsky.social, amazing collaborators!

🚨 New in Nature Human Behavior! 🚨 Binary climate data visuals amplify perceived impact of climate change. Both graphs in this image reflect equivalent climate change trends over time, yet people consistently perceive climate change as having a greater impact in the right plot than the left. 👇1/n

Tomorrow!

🔷New in Biological Psychiatry🔷 **Old Strategies, New Environments: Reinforcement Learning on Social Media** In this Review, we argue that the computational framework of Reinforcement Learning can help us understand social media behaviour: www.sciencedirect.com/science/arti...

For those around, see you in London next week! 🎡 www.fil.ion.ucl.ac.uk/events/

This is going to start in a couple of hours!

For those interested further in philosophical underpinnings of computational approaches, do check out our EP with @stepalminteri.bsky.social tinyurl.com/bdf973zy

This episode builds further upon our previous interview with @orbenamy.bsky.social tinyurl.com/3zcpemeb

Very excited to present there! It will be question of the influence of feedback in risk decision-making with some very new stuff in development and ageing

Check out @nicolasyax.bsky.social thread about our paper (co-supervised by @pyoudeyer.bsky.social) where we show that evolutionary tree reconstruction can be successfully applied to map LLMs to map relations and predict their performance! Currently at @iclr-conf.bsky.social

🔥Our paper PhyloLM got accepted at ICLR 2025 !🔥 In this work we show how easy it can be to infer relationship between LLMs by constructing trees and to predict their performances and behavior at a very low cost with @stepalminteri.bsky.social and @pyoudeyer.bsky.social ! Here is a brief recap ⬇️

Congratulations @nicolasyax.bsky.social for the amazing work, and @stepalminteri.bsky.social for the co-supervision !

🚨New preprint alert!🚨 Achieving Scale-Invariant Reinforcement Learning Performance with Reward Range Normalization. Where we show that things we discover in psychology can be useful for machine learning. By the amazing @maevalhotellier.bsky.social and Jeremy Perez. doi.org/10.31234/osf...

How does thinking something is AI-generated influence agreement—and vice versa?🧠 In our latest preprint (@stepalminteri.bsky.social, Crystal Qian), ~230 people judged justifications from GPT-3.5 and humans across moral dilemmas. osf.io/preprints/ps... 👇

Below the thread about a thoroughly updated version of our human-machine / moral psychology paper where we show the complex nature of anti-/ pro-AI biases in evaluating and detecting machine vs. artificial judgements. Study lead by @bsgarcia.bsky.social in collaboration with Crystal Qian

Very proud of our first eye-tracking study where we show how attention shape value encoding and normalisation in human reinforcement learning. Strikingly we show that injecting eye tracking data to the model improve choice fitting. Work by @romanececchi.bsky.social w/ @sgluth.bsky.social

🧵 New preprint out! 📄 "Elucidating attentional mechanisms underlying value normalization in human reinforcement learning" 👁️ We show that visual attention during learning causally shapes how values are encoded w/ @sgluth.bsky.social & @stepalminteri.bsky.social 🔗 doi.org/10.31234/osf...

A working to our fMRI study dissociating the functional role of peri-hippocampal and parietal cortex in model-based reinforcement learning (with @fabiencerrotti.bsky.social @mael-lebreton.bsky.social et al). www.biorxiv.org/content/10.1...

Oops — here’s the right link to the article: www.biorxiv.org/content/10.1...

Our first fMRI in a while where we investigate the neural bases or multi-step Reinforcement Learning and found a clear functional dissociation between the parietal and the peri-hippocampal cortex. More info by Fabien, below

🚨 New preprint on bioRxiv! We investigated how the brain supports forward planning & structure learning during multi-step decision-making using fMRI 🧠 With A. Salvador, S. Hamroun, @mael-lebreton.bsky.social & @stepalminteri.bsky.social 📄 Preprint: submit.biorxiv.org/submission/p...

Our first fMRI in a while where we investigate the neural bases or multi-step Reinforcement Learning and found a clear functional dissociation between the parietal and the peri-hippocampal cortex. More info by Fabien, below