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Ali Shiravand

@alishiravand.bsky.social
430 followers 695 following 45 posts

Doctoral student & Normalien in cognitive neuroscience at the École Normale Supérieure Paris - PSL University, Human Reinforcement Learning Team | Interested in decision modeling & photography

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Reposted by Ali Shiravand
Stefano Palminteri @stepalminteri.bsky.social · 01/10/2026
1/ Very proud of this preprint — and especially because it marks a first step for our lab in a new direction: using what we know about learning not only to diagnose misconceptions, but also to correct them. zenodo.org/records/2303...
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Caroline Pioger @carolinepioger.bsky.social · 29/09/2026
🚨 New preprint! Public debate on decarbonization often rests on inaccurate beliefs about energy sources. We tested whether a reinforcement-learning-based intervention can correct them. 🧵👇 📄 Preprint: zenodo.org/records/2303...
zenodo.org
Correcting misconceptions and shaping preferences about energy with reinforcement learning
Addressing the climate crisis requires citizens to make informed choices about sustainable energy policy, yet public debates are often shaped by inaccurate beliefs about the environmental and health i...
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Dirk Wulff @dirkwulff.bsky.social · 01/10/2026
📣 Delighted to share that I have joined WU (Vienna University of Economics and Business) as Professor of Artificial Intelligence and Behavioral Science. Announcements for at least one postdoc-level position will follow soon. Please reach out if you are interested.
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Franziska Brändle @frabraendle.bsky.social · 29/09/2026
Incredibly excited to announce that I’m starting my own research group at Justus-Liebig-Universität in Gießen as part of the excellence cluster “The Adaptive Mind”! 🥳 I'm looking to fill the first PhD position. If you’re interested, apply here: tinyurl.com/38p3h22p Please spread the word! 🙏
jobs.uni-giessen.de
Doctoral student (m/f/d) Computational Motivation – Justus-Liebig-Universität Gießen
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RLDM @rldmparis2027.bsky.social · 29/09/2026
📣 Save the date! RLDM 2027, the Multi-disciplinary Conference on Reinforcement Learning and Decision Making, is coming to Paris, July 6-9, 2027 🎉 Stay tuned for submission deadlines and more updates on our website rldm.org 👀
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Ali Shiravand @alishiravand.bsky.social · 28/09/2026
Very glad to have contributed to this valuable initiative! 🌊 Together with @isabellehoxha.bsky.social and @nicolasyax.bsky.social, our team reproduced “Synchrony Influences Estimates of Cooperation in a Public-Goods Game” by McEllin and Sabenz (Psychological Science, 2024).
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Reposted by Ali Shiravand
Institute for Replication @i4replication.bsky.social · 25/09/2026
Over the past two years, I4R partnered with Psychological Science (@psychscience.bsky.social) on a large reproducibility project. 67 independent teams reproduced 64 articles published in 2024–2025, about 44% of eligible papers. Paper: www.econstor.eu/bitstream/10... Here's what we learned 🧵
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Ali Shiravand @alishiravand.bsky.social · 10/09/2026
Graduate students enter cognitive science from diverse disciplines, bringing different levels of mathematical training. 🧶 This semester, we built a #Maths_Training course website for cognitive science students, with Basic and Advanced tracks: 💡 maths-training-dec.github.io/cogmaster-ma...
Graduate students enter cognitive science from diverse disciplines, bringing different levels of mathematical training. 🧶

I’m very happy to share a new #Maths_Training website for cognitive science students that we developed this semester, designed to help bridge different mathematical starting points and covering probability, statistics, linear algebra, calculus, differential equations, and more.

The material is organized into two tracks: 1) Basic Track that builds the foundations progressively, especially for students from humanities and social sciences, and 2) Advanced Track for students who already have more mathematical training. Each session includes 📊 slides, ✏️ exercises, and ✅ solutions.

This semester, I’m teaching the Maths Training Crash Course at the Département d'Études Cognitives, Ecole normale supérieure, together with Sara Moussaoui and Prof. Amaury Lambert as the supervisor. We designed the website as a practical resource for learning, reviewing, or simply coming back to the mathematical concepts that appear again and again across cognitive science.

We initially built it for our CogMaster students, but we hope it will be useful to students and researchers elsewhere too. Feel free to explore it, share it, and send us feedback!
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Ali Shiravand @alishiravand.bsky.social · 09/09/2026
Maybe the most practical democratic response to AI is to tax the economic value it creates and give that value back to people before human labor loses "too much" of its economic leverage.
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Ali Shiravand @alishiravand.bsky.social · 05/09/2026
Got my signed copy! *-*
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Reposted by Ali Shiravand
Kayson Fakhar @kayson.bsky.social · 02/09/2026
🚨 8 months after, this paper found its home at Science Advances. We came up with a generative brain network model based on game theory and found that the human brain is suboptimal both in terms of wiring cost and communication efficiency. Here's why: www.science.org/doi/10.1126/...
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Dirk Wulff @dirkwulff.bsky.social · 03/08/2026
🚨 Out now in TICS How can language models help cognitive science? @ruimata.bsky.social & I outline 5 uses: mapping research fields, formalizing theories, cleaning up constructs & measures, predicting behavior across tasks, and capturing environmental variation. 🔗 doi.org/10.1016/j.ti...
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Stefano Palminteri @stepalminteri.bsky.social · 13/07/2026
You do not know what to read? 📖🤔 Below is a quick digest of this year's papers from the HRL team. The range is a little unusual: from reinforcement learning in rats, to the philosophy of AI, by way of eye-tracking and social-media behaviour. Seven papers, each with a short teaser 👇
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Ryan Yan Yan @ryanypsych.bsky.social · 06/08/2026
Our paper, "Pupil size dynamics predict momentary changes in self-reported arousal," has been accepted by the Journal of Neuroscience! 👀 🎉 We know pupil size is related to norepinephrine activity, and thus arousal and vigilance. But does it also map onto how people subjectively feel?
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Stefano Palminteri @stepalminteri.bsky.social · 13/07/2026
Are debates about LLMs driven by evidence—or by our own biases? With @giadapistilli.com, we examine how wishful thinking, cognitive dissonance and explanatory overconfidence fuel both hype and dismissal. Part of a AI & Psychology special issue: more soon! doi.org/10.1016/j.cobeha.2026.101670
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Nadia Hosseinizaveh @nadiahosseinizaveh.bsky.social · 07/07/2026
(1/6) My first first-author paper is now out in @nconsc.bsky.social! Part of my PhD work with @mamassian.bsky.social at @lsp-ens.bsky.social. We looked at how confidence behaves during a perceptual learning task with no feedback. academic.oup.com/nc/article/2...
academic.oup.com
Perceptual learning without feedback is accompanied with systematic changes in confidence processing
Abstract. Perceptual learning can occur without external feedback, raising questions about what internal signals might guide this learning. Here, we test t
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Stefano Palminteri @stepalminteri.bsky.social · 23/06/2026
New paper in Nature Communications 🎉 Led by @romanececchi.bsky.social, with @sgluth.bsky.social, we show that attention shapes value normalization in human reinforcement learning. Eye-tracking models explain nonlinear reward scaling better than an ad hoc parameter. www.nature.com/articles/s41...
nature.com
Attention modulates value normalization in human reinforcement learning by shaping reward encoding - Nature Communications
People’s reward learning is shaped by context, but the cognitive origins of this bias remain poorly understood. Here, the authors provide evidence that attention may underlie these distortions by shap...
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Stefano Palminteri @stepalminteri.bsky.social · 12/06/2026
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...
medium.com
LLMs Are Not Doping, Because Science Is Not a Sport
On why rhe intuition that using AI in research is a form of cheating rests on a wrong picture of how Science works and of what it is for.
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Dirk Wulff @dirkwulff.bsky.social · 10/06/2026
📣 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...
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Shervin Safavi @neuroprinciplist.bsky.social · 09/06/2026
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... 🧵 : 👇
cell.com
Perceptual multistability: a multifaceted window into brain dysfunctions
Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics a...
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Stefano Palminteri @stepalminteri.bsky.social · 03/06/2026
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...
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Stefano Palminteri @stepalminteri.bsky.social · 29/05/2026
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...
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Stefano Palminteri @stepalminteri.bsky.social · 27/05/2026
@alishiravand.bsky.social : "NORMARL: A Multi-Agent Reinforcement Learning Framework for Adaptive Social Norms in Resource Sustainability" @ #SBDM2026
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Dirk Wulff @dirkwulff.bsky.social · 18/05/2026
🚨 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...
eventbrite.ch
Behavioral Clones online participation
A one-day workshop on behavioral clones — AI systems that model human decision-making and social behavior.
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Stefano Palminteri @stepalminteri.bsky.social · 18/05/2026
🚨 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...
Visual summary of the study
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Ali Shiravand @alishiravand.bsky.social · 24/04/2026
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...
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Dirk Wulff @dirkwulff.bsky.social · 05/05/2026
📣 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...
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Luigi Acerbi @lacerbi.bsky.social · 30/04/2026
1/ Wouldn't it be nice if you could perform Bayesian inference *efficiently* but also *reliably*? Amortized inference offers the former, while MCMC is often presented as the "gold standard" for accuracy and reliability. Enter the Amortized Bayesian Workflow...
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Cognition ENS @cognitionens.bsky.social · 24/04/2026
[🌏 Cognitive Science for Climate Change] on May 26 at @normalesup.bsky.social Paris. Exploring how cognitive science and computational modelling can help us better understand climate action. Program and registration here 👉 www.eventbrite.com/e/billets-co...
Symposium
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Ali Shiravand @alishiravand.bsky.social · 24/04/2026
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...
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Stefano Palminteri @stepalminteri.bsky.social · 22/04/2026
Cognitive Modelling Research in the Era of Agentic Large Language Models From equations to fitted models in minutes: how LLMs are changing computational cognitive science and how we should adapt My latest post on Medium medium.com/@stefano.pal...
medium.com
Cognitive Modelling Research in the Era of Agentic Large Language Models
From equations to fitted models in minutes: what LLMs are changing in computational cognitive science and how we should adapt.
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Stefano Palminteri @stepalminteri.bsky.social · 14/04/2026
New preprint (by Vandendriessche et al.) In everyday life, choices often lead to multiple simultaneous outcomes — some positive, some negative. Yet most reinforcement learning research has focused on situations where each choice produces only a single outcome 1/5 osf.io/preprints/ps...
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Andreas Strube @astrube.bsky.social · 14/04/2026
1/6 Our paper is out today in Nature Communications! From the SFB/TRR 289 Treatment Expectation @sfb-trr-289.bsky.social we show that temporal expectations shape somatosensory perception - for both painful heat AND non-painful cold stimuli.
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Viktor Timokhov @vutyan.bsky.social · 13/04/2026
My recent comment extends Shiffrin et al.'s (2026) essay on "Illusions of understanding". While they focused on multiple ways of understanding linear regression, I extend these ideas to a complex model class in cognitive science: Evidence Accumulation Models (EAMs). (1/6)👇
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Ali Shiravand @alishiravand.bsky.social · 12/04/2026
I’m very glad to be speaking next week at the AI-Phi session at Sony CSL Paris (@sonycsl-paris.bsky.social). In this Causerie session, I’ll talk about how what we see as valuable can change depending on our goals, and why this matters for learning and decision-making in both humans and AI.
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Robb Rutledge @robbrutledge.bsky.social · 09/04/2026
📣🔥 Early bird registration now open for 2026 Computational Psychiatry Conference cpconf.org at Yale July 14-16. Late-breaking abstracts now open (deadline: May 8) Trainee pre-conference (July 13) registration open (free!) See you in New Haven! #CPConf2026
cpconf.org
Computational Psychiatry Conference
New Haven, USA (July 14-16, 2026)
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Stefano Palminteri @stepalminteri.bsky.social · 07/04/2026
📘 Excited to share that Decision Making: A Very Short Introduction (OUP) is now available online (PDF for subscribers): doi.org/10.1093/9780... What is it about? Understanding how humans (and other agents) make choices. Below a bit more information👇
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Charley Wu @thecharleywu.bsky.social · 17/02/2026
Publicly wondering if your product might be conscious is good hype @anthropic.com, but poor science. Consciousness attribution should integrate prior expectations with public/shareable facts, not by computational equivalence alone or anecdotes. If that makes us "vulgar behaviorists", we are proud.
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Ali Shiravand @alishiravand.bsky.social · 09/02/2026
💡 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 🧵
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Stefano Palminteri @stepalminteri.bsky.social · 16/02/2026
🧠🤖 New paper on AI & consciousness We challenge the idea that computational equivalence is the right test for machine consciousness. In cognitive science, consciousness is never “read off” from code, it’s inferred inductively from behavior with @thecharleywu.bsky.social doi.org/10.1093/nc/n... 👇
academic.oup.com
Beyond computational equivalence: the behavioral inference principle for machine consciousness
Abstract. Large Language Models (LLMs) have rapidly become a central topic in AI and cognitive science, due to their unprecedented performance in a vast ar
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BAMB! @bamb-school.bsky.social · 12/02/2026
Applications for BAMB! 2026 are officially open! Join us in Barcelona (July 12–23) to master the art of behavioral modeling with our incredible faculty: @meganakpeters.bsky.social @marcelomattar.bsky.social @khamascience.bsky.social @thecharleywu.bsky.social Apply now here: www.bambschool.org
bambschool.org
BAMB! 2026 | Barcelona Summer School for Advanced Modeling of Behavior
Intensive training for experienced researchers in cognitive science, computational neuroscience and neuro-AI. Five interconnected modules, expert faculty, hands-on projects. July 12-23, 2026.
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Ali Shiravand @alishiravand.bsky.social · 09/02/2026
💡 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 🧵
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Iyad Rahwan | إياد رهوان @iyadrahwan.bsky.social · 09/02/2026
Moltbook, the AI social network, is a fascinating phenomenon. Those interested in studying these kinds of systems may find our 2019 (!) Nature paper on 'Machine Behavior' useful. www.nature.com/articles/s41...
nature.com
Machine behaviour - Nature
Understanding the behaviour of the machines powered by artificial intelligence that increasingly mediate our social, cultural, economic and political interactions is essential to our ability to contro...
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Dirk Wulff @dirkwulff.bsky.social · 06/02/2026
🚨 New publication 🚨 Excited to share this new forum piece led by @kevinetiede.bsky.social We propose broadening risk communication to cover neglected dimensions outlined in our risk-information taxonomy, requiring greater reliance on simulated experiences. Open access: doi.org/10.1016/j.ti...
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Stefano Palminteri @stepalminteri.bsky.social · 05/02/2026
Across seven incentivized experiments and a large reanalysis, we systematically manipulated the presence and type of post-choice feedback in repeated risky decisions to test whether feedback shapes behavior through learning mechanisms or through anticipatory changes in preferences.
Across seven incentivized experiments and a large reanalysis, we systematically manipulated the presence and type of post-choice feedback in repeated risky decisions to test whether feedback shapes behavior through learning mechanisms or through anticipatory changes in preferences.
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Dirk Wulff @dirkwulff.bsky.social · 05/02/2026
🚨 Deadline extension 🚨 BEHAVIORAL CLONES WORKSHOP Imitating humans is a powerful route to machine behavior and an emerging lens on human cognition and social simulation. 🗓 Fri, 20 May 2026 📍 Following Machine+Behavior @ Max Planck Berlin 🗣️ Invited talks: Danica Dillion, Raja Marjieh, Marcel Binz
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Stefano Palminteri @stepalminteri.bsky.social · 27/01/2026
🧵 New paper in @NatureComms Feedback-induced attitudinal changes in risk preferences Nasioulas, Potier, Cerrotti, Lebreton & me (2026) Does feedback really improve risky decision-making? Short answer: no! it changes attitudes, not learning. 👇 rdcu.be/e0VcO
rdcu.be
Feedback-induced attitudinal changes in risk preferences
Nature Communications - Normative theory predicts that feedback should not affect decisions under risk, but past findings disagree. Here, the authors show that feedback shifts risk-taking by...
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Mohammad Hosseini @mhmdhsini.bsky.social · 03/02/2026
Iranians are experiencing a collective trauma. Thousands have been killed/injured in recent events, the economy is crippled & the threat of a wider conflict is real. This is especially difficult for those living in Iran, as many have lost (or fear losing) loved ones. www.nature.com/articles/d41...
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Ali Shiravand @alishiravand.bsky.social · 03/02/2026
Calling all scientists: Support your Iranian colleagues www.nature.com/articles/d41...
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Stefano Palminteri @stepalminteri.bsky.social · 03/02/2026
Very happy that @PNASNews agreed to publish our (w/ @romanececchi.bsky.social) response to Prakhar's thought-provoking study! You can find the final version at the link below. See the following tweet for Prakhar's response to our response. Happy to hear your thoughts! www.pnas.org/doi/10.1073/...
pnas.org
Genuine learning biases persist after accounting for temporally decreasing learning rates: Insight from fitting six datasets | PNAS
Genuine learning biases persist after accounting for temporally decreasing learning rates: Insight from fitting six datasets
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