I’m delighted to be speaking at Semaine du Cerveau in Paris about the science of everyday decision-making — the hidden mechanisms shaping how we think, choose, and learn, from confirmation bias to confidence. 🧠 Join us Wed March 18 18:30 at École normale supérieure ! tinyurl.com/ywamh75a

Libres ou biaisé·es? La science des décisions du quotidien - Semaine du Cerveau

Entre liberté et automatismes, nos décisions du quotidien sont souvent influencées par une force discrète : le biais de confirmation. Autrement dit, nous sommes plus sensibles à ce qui nous donne rais...

semaineducerveau.fr

💡 Our new #preprint is available online! How do people adapt their decisions when priorities change? In our new study, we examine how the way people represent value shapes their ability to adjust in multi-goal environments. 🔗 OSF link: doi.org/10.31234/osf... It's a thread 🧵

I recently attended the Center for Decision Sciences Summer School at Royal Holloway 🇬🇧 a fantastic week exploring computational approaches to decision-making 🤖🧠 I wrote a recap of what we learned each day, for anyone curious about the content or experience ✨ center-decision-sciences.com/feedback/

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Program Registration Schedule Directions Survey Responses Home Blog written by Caroline Pioger PhD student at Ecole Normale Supérieure, Paris, France The first edition of the Center for Decision Sc…

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🧠Our new preprint is out on PsyArXiv! We study how getting more feedback (seeing what you could have earned) and facing gains vs losses change the way people choose between risky and safe options. 🖇️Link: doi.org/10.31234/osf... It's a thread🧶:

‼️New preprint‼️ There does not seem to be an effect of ghrelin on risky decision-making in probability discounting. Not in behaviour, underlying computational processes, or neural activity. More details ⬇️

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 11mo ago

Ghrelin and risky decision-making: No credible evidence for homeostatic state modulation of neural or behavioural effects https://www.biorxiv.org/content/10.1101/2025.10.20.683454v1

Interoception vs. Exteroception: Cardiac interoception competes with tactile perception, yet also facilitates self-relevance encoding https://www.biorxiv.org/content/10.1101/2025.06.25.660685v1

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!

🧵 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...

🚨 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...

@magdalenasabat.bsky.social used 🔌 ephys to show that ferret auditory cortex neurons integrate sounds within fixed windows (~15–150 ms) that increase in non-primary auditory cortex, independent of information rate. ▶️ www.biorxiv.org/content/10.1... #Neuroscience

Neurons in auditory cortex integrate information within constrained temporal windows that are invariant to the stimulus context and information rate

Much remains unknown about the computations that allow animals to flexibly integrate across multiple timescales in natural sounds. One key question is whether multiscale integration is accomplished by...

biorxiv.org

🎉 I'm excited to share that 2 of our papers got accepted to #RLDM2025! 📄 NORMARL: A multi-agent RL framework for adaptive social norms & sustainability. 📄 Selective Attention: When attention helps vs. hinders learning under uncertainty. Grateful to my amazing co-authors! *-*

🚨 Finally out! My new @annualreviews.bsky.social in Psychology paper: www.annualreviews.org/content/jour... We unpack why psych theories of generalization keep cycling from rigid rule-based models to flexible similarity-based ones, then culminating in Bayesian hybrids. Let's break it down 👉 🧵

Epistemic biases in human reinforcement learning: behavioral evidence, computational characterization, normative status and possible applications. A quite self-centered review, but with a broad introduction and conclusions and very cool figures. Few main takes will follow osf.io/preprints/ps...

New preprint! 🚨 Performance of standard reinforcement learning (RL) algorithms depends on the scale of the rewards they aim to maximize. Inspired by human cognitive processes, we leverage a cognitive bias to develop scale-invariant RL algorithms: reward range normalization. Curious? Have a read!👇

🚨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...