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Mael Lebreton

@mael-lebreton.bsky.social
536 followers 55 following 0 posts

Cognitive Scientist interested in Human Decision-Making. Researcher at CNRS; Professor at Paris School of Economics; Assistant Professor at University of Geneva sites.google.com/site/maellebreton/…

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Reposted by Mael Lebreton
Stefano Palminteri @stepalminteri.bsky.social · 07/12/2025
In a recent thought-provoking study, @benjwagner.bsky.social & co claim that behavioural signatures attributed to context-dependent RL “are very well explained by habit-like action repetition”. I obviously disagree and this thread explains what evidence backs my belief (thread 👇) 1/n
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Reposted by Mael Lebreton
Stefano Palminteri @stepalminteri.bsky.social · 07/12/2025
Prakhar, in a recent thought-provoking paper and thread, boldly claimed that the learning-rate biases may be mere “statistical ghosts” of decaying learning rates We took up the challenge and put this claim to the test. Here are our findings (w/ @romanececchi.bsky.social). 1/n osf.io/preprints/ps...
Genuine Learning Biases Persist After Accounting for Temporally Decreasing Learning Rates: insight from fitting six datasets. 

Recent claims suggest that learning-rate asymmetries observed in human reinforcement learning may be artefactual, arising from a failure to account for temporally decreasing learning rates in Bayes-optimal agents. Here, we re-analyzed six datasets and found that models incorporating learning biases systematically outperformed both Bayes-derived and decay-based models, and that learning biases persisted even when temporal decay was explicitly included. These results demonstrate that temporally decreasing learning rates cannot account for learning asymmetries, which instead emerge as robust and reproducible features of human reinforcement learning.
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Stefano Palminteri @stepalminteri.bsky.social · 13/10/2025
Very cool study showing that "apparent" asymmetric update in reinforcement learning can emerge from Bayes optimal principles by Prakhar Godara in @pnas.org www.pnas.org/doi/abs/10.1...
pnas.org
Apparent learning biases emerge from optimal inference: Insights from master equation analysis | PNAS
Recent studies [S. Palminteri, G. Lefebvre, E. J. Kilford, S. J. Blakemore, PLoS Comput. Biol. 13, e1005684 (2017); G. Lefebvre, M. Lebreton, F. Me...
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Stefano Palminteri @stepalminteri.bsky.social · 11/06/2025
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!
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Reposted by Mael Lebreton
Matthias Guggenmos @mguggenmos.bsky.social · 04/06/2025
We have a PhD position for an upcoming project in metacognition research in Potsdam / Berlin. A great opportunity for those interested in cognitive modeling of confidence and EEG. More information at coconeuro.github.io/phd2025 Kindly share this opportunity with potential candidates - Thanks!
coconeuro.github.io
Computation and Cognition @ HMU Potsdam
Computation and Cognition @ HMU Potsdam
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Reposted by Mael Lebreton
Stefano Palminteri @stepalminteri.bsky.social · 26/05/2025
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...
doi.org
Behavioral, computational and self-reported measures of reward and punishment sensitivity as predictors of mental health characteristics - Nature Mental Health
Reinforcement learning task-based behavioral and computational measures displayed low test–retest reliability at the individual level. Also in contrast to self-assessed personality measures, behaviora...
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Reposted by Mael Lebreton
fabiencerrotti.bsky.social @fabiencerrotti.bsky.social · 16/04/2025
🚨 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...
submit.biorxiv.org
bioRxiv Manuscript Processing System
Manuscript Processing System for bioRxiv.
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Reposted by Mael Lebreton
Stefano Palminteri @stepalminteri.bsky.social · 22/04/2025
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...
biorxiv.org
Dissociating the functional role of the para-hippocampal and the parietal cortex in human multi-step reinforcement learning
Many real-life decisions involve a tension between short-term and long-term outcomes, which requires forward-looking abilities. In reinforcement learning, this tension arises at the initial stage of m...
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Björn Lindström @bjornlindstrom.bsky.social · 05/04/2025
post doc position on "affective social learning" in Andreas Olsson's group at Karolinska Institute. Recommended! ki.varbi.com/en/what:job/...
ki.varbi.com
Postdoctoral Researcher in affective learning and decision-making
Do you want to contribute to better health for everyone? Our research group, led by Andreas Olsson at Karolinska Institutet in Stockholm, is seeking a qualified and motivated postdoctoral researcher.
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Reposted by Mael Lebreton
Steve Fleming @smfleming.bsky.social · 05/03/2025
We're recruiting for new postdoc and RA positions on our @erc.europa.eu project "ConsciousComputation" To apply and for more details, please see: RA: www.ucl.ac.uk/work-at-ucl/... Postdoc: www.ucl.ac.uk/work-at-ucl/... Very happy to chat to anyone interested! 🧠🧪
ucl.ac.uk
UCL – University College London
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
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Franck Ramus @franckramus.bsky.social · 04/12/2024
Résultats de l'enquête TIMSS 2023 sur le niveau des élèves de CM1 en maths et en sciences. Messages-clés : 1) le niveau des élèves français est toujours très inquiétant. 🧵
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