Robb Rutledge

🚨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

Computational Psychiatry Conference New Haven, USA (July 14-16, 2026)

🔥🔥SAVE THE DATE!!🔥🔥

Join us at Yale for the 2026 Computational Psychiatry Conference July 14-16, 2026 www.cpconf.org

@xiaosigu.bsky.social @yiplab.bsky.social @shirleybwang.bsky.social @alpowers7.bsky.social

See you in New Haven!

Ten Simple Rules for AI-Assisted Coding in Science While AI coding tools have demonstrated potential to accelerate software development, their use in scientific computing raises critical questions about code quality and scientific validity. In this pa...

Ten Simple Rules for AI-Assisted Coding in Science arxiv.org/abs/2510.22254 - our latest, led by @ericwbridgeford.bsky.social

I think almost all scientific projects should be planned carefully. And I think an app can dramatically improve that. So I wrote an app for that (free for now, if you can fund this let me know). I tested it quite a bit (>8000 users in beta so far). try it: planyourscience.com

Estrogen modulates reward prediction errors and reinforcement learning - Nature Neuroscience Dopamine encoding of reward prediction errors naturally fluctuates over females’ reproductive cycles with estrogenic signaling due to reduced expression of dopamine reuptake proteins.

Thrilled to share our new paper, out now in @natneuro.nature.com, uncovering how estradiol, the most potent estrogen, modulates reinforcement learning and reward prediction errors across biological levels. www.nature.com/articles/s41...

#blueprint 1/7

I love this idea. This is the type of public-facing scicomm that gives a scientist a renewed and refreshed perspective on their own work. I champion scientists engaging in ways that fill their own cups here:
www.nature.com/articles/s41...

BUT!! fiction writing is a challenge (at least for me). /1

Neurocomputational mechanisms underlying the distinct motivational influences of reward and punishment on cognitive control Human motivation is fundamentally shaped by one's expectations of the reward they could earn for good performance or the punishment they would avoid for poor performance. However, the extent to which ...

Thrilled to share our new preprint highlighting distinct neurocomputational mechanisms underlying how reward and punishment determine adaptive cognitive control - a massive fMRI study and collaborative team effort with the @shenhavlab.bsky.social 🧠

Link here:
www.biorxiv.org/content/10.1...

Really interesting work by Bakhurin and colleagues challenging the reward prediction error hypothesis of dopamine:
www.nature.com/articles/s41...
I love this figure which both echoes and undermines the famous figure from Schultz et al. (1997).

Trials for computational psychiatry - Nature Computational Science Computational psychiatry is increasingly delivering causal evidence by focusing on interventions research and clinical trials. Causal evidence could improve patient outcomes through improved precision, repurposing, novel interventions, scaling of psychotherapy and better translation to the clinic.

In a Comment, @docqhuys.bsky.social and Michael Browning argue that the field of computational psychiatry will improve patient outcomes through its increasing focus on interventions and trials. #mentalhealthresearch #Psychiatry

➡️ nature.com/articles/s43...
🔓 rdcu.be/eKp1v

🧵(3/8)

🚨Out now in @cp-trendscognsci.bsky.social 🚨

We explore the use of cognitive theories/models with real-world data for understanding mental health.

We review emerging studies and discuss challenges and opportunities of this approach.

With @yaelniv.bsky.social and @eriknook.bsky.social

Thread ⬇️

New preprint from the lab! 🧠
Led by Juliana Trach, w/ Sophia Ou

Using fMRI, we discovered evidence for time-sensitive reward prediction errors (RPEs) in the human cerebellum.

Builds on, and extends, recent work in both rodents and NHPs

🧵 New paper! We studied depression symptoms and goal-directed decisions under uncertainty

@shiyiliang.bsky.social, with @evanrussek.bsky.social & @robbrutledge.bsky.social

Surprisingly, we found that apathy–anhedonia was linked to enhanced goal-directed behavior. www.biorxiv.org/content/10.1...

📣 🚨 Yale Psychology has 3 searches this year!

Links below:

Quantitative link: apply.interfolio.com/171903
Social link: apply.interfolio.com/171989
Clinical link: apply.interfolio.com/171970

Computational Psychiatry Conference Tübingen, Germany (July 14-16, 2025)

📢 Early registration prices end tomorrow 15 April! 🚨

Computational Psychiatry Conference is 14-16 July in Tübingen, Germany. www.cpconf.org

Speakers inc. Phil Corlett, Charlotte Fraza, Andreas Heinz, Georgia Koppe, Jill O'Reilly, Chandra Sripada, Sophie Valk, Tor Wager

Increasing happiness through conversations with artificial intelligence Chatbots powered by artificial intelligence (AI) have rapidly become a significant part of everyday life, with over a quarter of American adults using them multiple times per week. While these tools o...

I am SO excited to share my latest #preprint with
@robbrutledge.bsky.social, Chongyu Qin, Zeb Kurth-Nelson, Martin Chadwick, @summerfieldlab.bsky.social, and others from DeepMind:
"Increasing happiness through conversations with artificial intelligence"
arxiv.org/abs/2504.02091

A short 🧵
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