Xiaosi Gu

Xiaosi Gu

@xiaosigu.bsky.social

Neuroscientist studying human beliefs & the social brain. she/her/hers. Professor of Psychiatry & Data Science@Yale Lab: https://www.neurocpu.org/ Conference: https://www.cpconf.org/ Journal: https://cpsyjournal.org/

1.7K followers172 following48 posts

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Xiaosi Gu reposted

Another preprint! This one from my postdoc with @ignaciosaezphd.bsky.social and @xiaosigu.bsky.social. Here we asked how the reward outcomes driving trial-by-error learning leave a lasting imprint on memory strength in the human brain. We used iEEG/computational models of cognition to find:

bioRxiv Neuroscience@biorxiv-neursci.bsky.social

Hippocampal-cingulate dynamics in the human brain link reinforcement-learning and memory https://www.biorxiv.org/content/10.64898/2026.09.10.750374v1

It took me a while to cover from this, but what a memorable week filled of exciting science, fun conversations, and soccer at #CPC2026 !! Thank you everyone for making it all the way to New Haven from all over the world. Until next time!! www.cpconf.org #ComputationalPsychiatry

Shirley Wang@shirleybwang.bsky.social

What a week! #CPC2026 was amazing, and it was such a joy to co-organize & host it here at Yale with @robbrutledge.bsky.social @xiaosigu.bsky.social @yiplab.bsky.social @francesghart.bsky.social & Al Powers & Katie Myerscough (our MVP!) Some highlights... 🧵

Xiaosi Gu reposted

📢 New preprint out now! In three samples (N=594), including a U.S.-representative cohort and a test-retest cohort, we formalize social motivation, learning, and homeostatic control within a single computational framework and identify a phenotype linked to chronic loneliness doi.org/10.31234/osf...

Xiaosi Gu reposted

This tour de france work would not have been possible if not for KK, who was an MD/PhD student in my lab and now a research track resident at @yaleschoolofmed.bsky.social medicine.yale.edu/profile/kaus.... Stay tuned for more amazing work coming from him! 💯👇

medicine.yale.eduKaustubh R. Kulkarni, MD, PhDKaustubh Kulkarni is a psychiatry resident in the Neuroscience Research Training Program (NRTP). He earned his bachelor's in Neuroscience, with minors in

Using computational modeling, we show that craving biases learning rates in opposite directions across groups, while expected outcomes and values simultaneously drive craving. Model-derived parameters also predicted alcohol addiction risk—but not cannabis—highlighting potential clinical utility.

These findings offer a new computational framework for understanding how craving and maladaptive choices interact across addictive disorders. This work is the latest extension of our previous work on computational mechanisms of craving (e.g. jamanetwork.com/journals/jam... and rdcu.be/faccV)

jamanetwork.comA Bayesian Observer Model of Drug CravingThis article presents a Bayesian observer model that distinguishes drug craving from drug seeking behaviors as 2 distinct processes.

In a group of alcohol and cannabis users (n=132), we found that momentary craving and reward learning actively shape each other during substance-related choices.

Xiaosi Gu reposted

Delighted to be collaborating with @xiaosigu.bsky.social with support from @srndna.bsky.social 🎉

Decision & Aging@srndna.bsky.social

A big congratulations to our 2026 Collaboration Award winners! Tess Wild from Cornell University (top left), Esther Friendman from University of Michigan (top right), Roufan Ma from University of North Carolina at Chapel Hill (bottom left), and Xiaosi Gu from Yale School of Medicine (bottom right)!

Xiaosi Gu reposted

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Interested candidates should submit to xiaosi.gu@yale.edu: 1. A cover letter describing research interests and relevant experience 2. A curriculum vitae 3. Contact information for 2–3 references Applications will be reviewed on a rolling basis until the position is filled.

yale.eduYale UniversitySince its founding in 1701, Yale University has been dedicated to expanding and sharing knowledge, inspiring innovation, and preserving cultural and scientific information for future generations.

Thank you all for helping repost this ad.🙏 We've received many excellent applications! 🙌 Just wanted to clarify that *prior experience working with human participants* is required (data analysis per se is not counted as experience with human participants). Please consider your fit accordingly~

Xiaosi Gu@xiaosigu.bsky.social

I'm looking to hire a postgraduate research associate in Computational Psychiatry for my new lab at Yale. Please see link below for details & help RT 🙏 postdocs.yale.edu/posts/2026-0...

Xiaosi Gu reposted

🧠💸 Launching the RewardSignals feed RewardSignals is a custom feed collecting posts about reward processing and decision making. To appear in the feed, tag your post with #RewardSignals. You can find and pin the feed from the Feeds tab as “RewardSignals”. #RewardSignals

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Xiaosi Gu reposted

1/6 Excited to see our NMH paper featured here for #WorldMentalHealthDay! rdcu.be/dYl7T Many psychiatric symptoms are inherently social. @xiaosigu.bsky.social, @joebarnby.com, & I call for cognitive models that reflect processes most relevant to our questions, esp. for those about social symptoms🧵

Nature Computational Science@natcomputsci.nature.com

🚨To celebrate #WorldMentalHealthDay, our October issue includes a Focus that examines the advances in computational psychiatry and the challenges of developing computational models to address mental health disorders. #mentalhealthresearch #Psychiatry ➡️ nature.com/collections/... 🧵(1/8)

Xiaosi Gu reposted

@cpsyjournal.bsky.social is switching to a paid peer reviewer system!! Game changer for academic publishing 👏👏 cpsyjournal.org/articles/10....

cpsyjournal.orgOne Small Step Towards Fixing a Broken System | Computational Psychiatry
Xiaosi Gu@xiaosigu.bsky.social

🔥💥📣 Excited to announce a new policy at the Computational Psychiatry (CPSY) journal @cpsyjournal.bsky.social. Starting from April 2025, CPSY will compensate reviewers for their time and effort invested in reviewing manuscripts. w/ @drrickadams.bsky.social cpsyjournal.org/articles/10....

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As such, introducing payments will not bias the outcome of the review – a concern raised by some in the past. We believe this change will enhance the fairness, efficiency, and equity of our peer review system.

A sustainable, fair, and efficient peer review system benefits affects us all and also depends on us all. We hope that this small step will help improve our current peer review system. Stay tuned with us and importantly, we hope you will contribute to the CPSY peer review process!

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However, this can no longer be justified when publishing companies are amassing huge profits and expanding their businesses by creating new journals. Meanwhile, the same scientists who review for journals for free get charged for reading papers and for publishing their papers.

Under CPSY's new model, reviewers’ compensation does not depend on the specific recommendation (accept/reject/revise) for the paper; instead, reviewers will be compensated per article as long as the peer review process for that article is complete.

Peer review is a cornerstone of the scientific publishing ecosystem. However, with the exponential growth of research, our current peer review model is clearly unsustainable. Reviewers are often overloaded with requests and editors often struggle to secure high quality reviews in a timely manner.

Why aren't reviewers compensated, as is the case for any other type of labor? Traditionally, volunteering one's time to review manuscripts for the field is seen as part of scholarly citizenship – something you just do to support the field, not for personal gain.

Xiaosi Gu reposted

Xiaosi Gu reposted

*We are hiring* Closing soon but still time! Associate/Full Prof position in Cognitive Neuroscience. Amazing department, rated top in UK for research power in Psychology, Psychiatry & Neuroscience. Can hire internationally, flagging for USA colleagues (all countries welcome). Come join us in London

Sarah Garfinkel@sarahgarf.bsky.social

The Institute of Cognitive Neuroscience is the most wonderful place to work. Supportive, bright colleagues doing incredible research in beautiful Queen Square. Do get in touch if you have any questions. Come join us! www.ucl.ac.uk/work-at-ucl/...