Sebastian Gluth

@sgluth.bsky.social

Professor for Cognitive Modelling & Decision Neuroscience (@cmdn-lab.bsky.social) at the University of Hamburg (@uni-hamburg.de). Interested in raising two kids, bouldering, football, and other things (if time permits).

SNE is pleased to announce the creation of a new Committee for Early Career Researchers. ECRs are invited to help launch the committee & share ideas for programming, mentorship, networking, and advocacy within the Society. Volunteer by July 10, 2026 #SNE2026 #Neuroeconomics #EarlyCareerResearchers

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Happy to see this paper out in #JNeurosci! We combine computational modeling of behavior and fMRI to better understand maladaptive decisions about what to eat.

SfN Journals@sfnjournals.bsky.social · last mo.

#JNeurosci: Muratore et al. compare food decision-making processes in healthy people vs. patients with anorexia nervosa. They found that the brain regions active during the process of mulling over food options were different in people with anorexia. https://doi.org/10.1523/JNEUROSCI.0441-26.2026

Illustrations of food choice task phases showing apples, bananas, and a perceptual task with colored dots.

In this work, I combined eye-tracking with fMRI to investigate how information search differs between within-domain and across-domain choices in value-based decisions. I also looked at the link between subjective value and neural activity during these decisions.

Over the past two weeks, I had the great opportunity to present my work at both #SBDM2026 in iconic Paris and #PuG2026 in picturesque Heidelberg. Thank you to the organizers for providing this environment for scientific exchange, and to everyone who stopped by to share their insightful feedback.

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📣 New preprint 📣 "Neural Dynamics of Belief and Value Computations Guiding Strategic Social Decisions" We use EEG and computational modeling (combining learning + DDM) to explain participants' choices, RT, and neural signals in a strategic game. www.biorxiv.org/content/10.6...

Neural Dynamics of Belief and Value Computations Guiding Strategic Social Decisions

Successful strategic behavior must be grounded in beliefs about the opponent and her intentions. While many potential models have been proposed to explain choices in such situations, the neural mechanisms that govern learning and choice in complex strategic contexts remain poorly understood. Here, we use a computational model that combines dynamic learning and choice mechanisms to explain both choices and response times of human participants engaged in a competitive strategic task. Using electroencephalography (EEG), we identify temporally structured stages of neural processing that support an evolving value-based decision process, corresponding to first- and second-order belief updates and evidence accumulation related to the comparison of action values. Gamma-band phase coupling between central and parietal EEG signals varied with individual winning rate, suggesting that strategic behavior involves coordinated information transfer across spatially remote areas. Together, our data characterize the temporally evolving neural dynamics of belief and valuation processes that underlie strategic choice and provide neural validation for assumptions embedded in computational models of this behavior. ### Competing Interest Statement The authors have declared no competing interest. European Research Council, 725355

biorxiv.org

🚨New preprint alert🚨 Does hunger affect your decisions beyond food? We tested whether being hungry affects attention & choice across food, intertemporal and social domains. Spoiler: the effects of hunger state on attention and choice are more limited than you might think🧵👇

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🚨Friends, we’re happy to share that our book is available for pre-order! 🎉 We aimed to cover all the foundations of the topic in an accessible manner for a large audience. It could help set up a bachelor-level curriculum on the topic. Pre-orders are very key for the fate of books: shorturl.at/Dxbif

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Our new paper is out as a reviewed preprint in @elife.bsky.social! elifesciences.org/reviewed-pre... Congrats to @hashimsat.bsky.social and our amazing collaborators on this great team effort. Special shout-out to @haukeren.bsky.social, who made this possible through his generous support 🙌

Absence of Systematic Effects of Internalizing Psychopathology on Learning Under Uncertainty

elifesciences.org

Muhammad Hashim Satti@hashimsat.bsky.social · 10mo ago

Excited to announce that this is now out in eLife as a reviewed preprint 🚀 doi.org/10.7554/eLif... Huge thanks to the eLife editors, reviewers and our fantastic collaborators: Katharina Wille, @nicoschuck.bsky.social, Matt Nassar, Radoslaw Cichy, Peter Dayan and @rasmusbruckner.bsky.social

Our modeling results suggest that a translation in form of an evaluative rating caused participants to make more ecological choices as a result of a shift in attribute weights in favor of the translated attribute, a decreased attentional bias on the attended option, and increased deliberation.

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Attribute translations promote behavior change by translating decision-relevant information into more meaningful units and have been widely adopted by policy makers (e.g., EU energy label). However, little is known about the computational mechanisms that underlie their effects on behavior.