What if we could tell you how well you’ll remember your next visit to your local coffee shop? ☕️ In our new Nature Human Behaviour paper, we show that the 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗮 𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 can be measured with neuroimaging – and 𝘁𝗵𝗮𝘁 𝘀𝗰𝗼𝗿𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝘀 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗻𝗲𝘄 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 𝘄𝗶𝗹𝗹 𝘀𝘁𝗶𝗰𝗸.

This paper had a pretty shocking headline result (40% of voxels!), so I dug into it, and I think it is wrong. Essentially: they compare two noisy measures and find that about 40% of voxels have different sign between the two. I think this is just noise!

🧵 If you're looking for a fully funded PhD or Postdoc in Computational Psychiatry, please reach out! We are expanding the lab and tackling some big questions. Here is a thread on what we are currently up to: 👇

So honored to join the other exceptional social psych scholars in this forthcoming issue of PIBBS! 🧠📊 Our paper examines how insights from social neuroscience can inform better public policy @fabbs.org @spspnews.bsky.social @sansmeeting.bsky.social journals.sagepub.com/doi/10.1177/...

New job alert 💫 We’re hiring a 3-year postdoc for the NEPTUNE project to study the causal mechanisms of paranoia and social learning. Work with us on experimental psychopharmacology (THC), social cognition, and psychosis 🧑‍🔬 Apply here: lnkd.in/gQqnNvjR](my.corehr.com/pls/kclrecru...) Please RT :)

Officially out! In this review, Aaron Chuey and I discuss how existing work on ToM mostly focused on a single individual’s mental states (e.g., what Sally thinks). Extending ToM, we argue for ToMS—an understanding of how multiple individuals communicate and influence each others’ minds. t.ly/u4rtb

Delighted to share our new Perspective article @natrevneuro.nature.com, led by the great @edoardochidichimo.bsky.social : "Towards an informational account of interpersonal coordination". With @loopyluppi.bsky.social, Pedro Mediano, @introspection.bsky.social, Victoria Leong and Richard Bethlehem.

In this systematic review, Kabotyanski and colleagues summarize how intracranial neural biomarkers relate to psychiatric symptoms and can guide the development of closed-loop neuromodulatory therapies, emphasizing the need to consider disorder-specific time constants for effective implementation.

📣🔥Thrilled to announce that 2026 Computational Psychiatry Conference will take place in New Haven, CT, btw July 14-16 - www.cpconf.org @robbrutledge.bsky.social @drrickadams.bsky.social @tobiasuhauser.bsky.social @docqhuys.bsky.social @clairegillan.bsky.social Sonia Bishop More info to come soon!

We are thrilled to announce that the preliminary program for the 2026 GRC on the Frontal Cortex is now live! www.grc.org/frontal-cort... Registration is now open for both the GRC and our GRS, chaired by @albitc.bsky.social and @jorge-miranda.bsky.social!

And the next step? Full voxel-level modeling. Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are. arxiv.org/abs/2511.12825

That’s a wrap on #NYCPW2025! Huge thank you to our instructors and incredible participants for an inspiring, engaging, and energizing three days. Your curiosity and collaboration made this workshop a success. 🙌🧠✨

Our latest hyperscanning study tracks how neural coupling unfolds during genuine conversation and how it differs from simply reading scripted dialogue: osf.io/preprints/ps...

Our next paper on comparing dynamical systems (with special interest to artificial and biological neural networks) is out!! Joint work with @annhuang42.bsky.social , as well as @satpreetsingh.bsky.social , @leokoz8.bsky.social , Ila Fiete, and @kanakarajanphd.bsky.social : arxiv.org/pdf/2510.25943

Super pleased with this one, led by the amazing PhD student and foraging expert @emmavscholey.bsky.social!

Excited to share our manuscript about BrainEffeX, a tool for exploring fMRI effect sizes. Includes why we made it, how to use it + contribute, and how we made it. @sneuroble.bsky.social @psychonetrics.bsky.social @alexkfischbach.bsky.social @nichols.bsky.social @dscheinost.bsky.social & MINDS Lab

👉 Saren Seeley continues our Day 3 with a discussion on Study Design & Replicability #NYCPW2025

@lauraaberner.bsky.social started Day 3 of #NYCPW2025 by helping the group map out their own clinically relevant questions in computational psychiatry. 🧭 🧠

💭Closing out Day 2 of #NYCPW2025 with Ülgen Kılıç's talk on Network Theory in Psychiatry and some hands-on project work! 🙌

Next up, @bshev.bsky.social inspired some group discussion on Drift Diffusion modeling during #NYCPW2025 Day 2!🗣️📊

🌎 New paper in @commspsychol.nature.com 🌍 doi.org/10.1038/s442... There is an urgent need to choose behaviours that mitigate climate change, but these are often more effortful. Can we increase pro-environmental motivation? Joint w/ Luis Sebastian Contreras-Huerta & amazing international team 👇🧵

☀️ Good morning #NYCPW2025 Day 2! @shawnrhoadsphd.com starting strong with a tutorial on fitting computational models to behavioral data!

✨ Program Manager Job Alert ✨ Join our Mount Sinai team in NYC to steer a multi-institutional neuroscience initiative aimed at understanding Bipolar Disorder. If you’re passionate about science, data & impact we’d love to hear from you! Learn More & Apply 👇 careers.mountsinai.org/jobs/3032351...

Wrapping up Day 1 of #NYCPW2025 with @neurokim.bsky.social using LLMs for cognitive model discovery. Excited to end the day with some project brainstorming! 💡🧠

📣Up next at the 2025 New York Computational Psychiatry Workshop: @vincgfiore.bsky.social on Bayesian Inference! #NYCPW2025 📊

🙌 @angelaradulescu.bsky.social kicking off Day 1 of #NYCPW2025 with a tutorial on Reinforcement Learning!

🧠 New paper alert! Can people infer others’ values not from what they choose, but simply from what comes to mind? Across four studies, we show they can—drawing on an intuitive theory of how options are generated. doi.org/10.1016/j.cognition.2025.106238 👇

Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan 🧠💬 1/n

Understanding and explaining differences across minds in social interaction: insights from social neuroscience and clinical psychiatry link.springer.com/article/10.1...

Very excited and proud to share my postdoctoral research with @neurrriot.bsky.social looking at the context-specific encoding of social behavior 💃🕺 in hormone-sensitive, large-scale brain networks in mice! www.biorxiv.org/content/10.1... #neuroskyence #compneurosky 🧪 1/12

Many prosocial & antisocial behaviors simultaneously impact both ourselves & others. In order to guide future choices, how do people learn that their behavior has resulted in benefits/harm to themselves and/or someone else? @shawnrhoadsphd.com Nature Communications 👉 nature.com/articles/s41...

Thrilled to share a new paper in @jamapsychiatry.com on path asymmetry in complex dynamic systems of psychopathology! jamanetwork.com/journals/jam... With amazing collaborators @tfblanken.bsky.social, Han van der Maas, & Denny Borsboom 🥳

Our new paper is out! It offers a tool to assess collinearity impact on contrast estimates *and* uses simulations + MID data to show how common collinearity avoidance strategies can bias results. Huge thanks to @russpoldrack.org , M Demidenko, and the ABCD folks. 🔗 direct.mit.edu/imag/article...

New preprint by @annalinavmayer.bsky.social and team members together with @tobikube.bsky.social 💫 „Self-esteem modulates beneficial causal attributions in the formation of novel self-beliefs“ #affectedbeliefs #sociallearning #beliefformation www.biorxiv.org/content/10.1...

🚨 New preprint 🚨 Are reinforcement learning models complete accounts of decisions from experience if they ignore explicit memory? In this new preprint, we show that people indeed form robust explicit memory representations that flexibly guide later decisions. 🔗 Preprint: doi.org/10.1101/2025...

Thrilled to be part of this fantastic new project led by @ignaciosaezphd.bsky.social and supported by @bipolardiscoveries.org. Grateful to collaborate with an outstanding team — Dr. Helen Mayberg, Dr. James Murrough and others — and looking forward to the work ahead!

New release of PowerLMM.js! Browser-based power analysis for longitudinal models with dropout. Now includes: - Power analysis summary report - Reproducible & shareable configs (URL/JSON) - Calculations validated against R - Hypothesis region visualization powerlmmjs.rpsychologist.com

PRESS RELEASE! @mountsinainyc.bsky.social receives $4.5 million @bipolardiscoveries.org grant! Led by @ignaciosaezphd.bsky.social, team will investigate neural mechanisms underlying #BipolarDisorder & pioneer novel neuromodulation-based treatment strategies 👉 www.mountsinai.org/about/newsro...

📢 Thrilled to share our paper is out now in @natcomms.nature.com Shared computations underlie how we acquire actions that are mutually beneficial, instrumentally harmful (benefits self at the expense of others), altruistic (benefit others at the expense of self), or mutually costly 🧵 rdcu.be/eL8mZ

Neurocomputational basis of learning when choices simultaneously affect both oneself and others @natcomms.nature.com

Excellent post by the creator of the hoax FormatMyPaper.com. "We’re a community of experts, terrified of a harmless prank site, yet seemingly unbothered by the multi-billion dollar publishing industry that actually takes our copyright, our labor, and our intellectual property every single day."

Great to see this out! Exciting work led by @shawnrhoadsphd.com on how we learn when actions affect ourselves and others 🧠 w/ @aa-marsh.bsky.social, @k-oconnell.com, Kathryn Berluti, & Lin Gan plus @thepsychologist.bsky.social & me @sdnl.bsky.social, @thechbh.bsky.social, @uob-sop.bsky.social

Many prosocial & antisocial behaviors simultaneously impact both ourselves & others. In order to guide future choices, how do people learn that their behavior has resulted in benefits/harm to themselves and/or someone else? @shawnrhoadsphd.com Nature Communications 👉 nature.com/articles/s41...

ICYMI: Neurocomputational basis of learning when choices simultaneously affect both oneself and others @natcomms.nature.com

How do our brains learn when choices affect both ourselves and others? New work by @shawnrhoadsphd.com, @aa-marsh.bsky.social, @thepsychologist.bsky.social, @drjocutler.bsky.social, et al. in @natcomms.nature.com reveals shared neural computations for prosocial & antisocial learning rdcu.be/eL8mZ

📢 Thrilled to share our paper is out now in @natcomms.nature.com Shared computations underlie how we acquire actions that are mutually beneficial, instrumentally harmful (benefits self at the expense of others), altruistic (benefit others at the expense of self), or mutually costly 🧵 rdcu.be/eL8mZ

Graduate School of Biomedical Sciences: By the Numbers ✨Fully integrated w/ #IcahnMountSinai ✨#11 in #NIH funding: $495.1 M ✨Embedded in #MountSinaiNYC, one of the largest academic medical systems in NY metropolitan area

 👉Learn who we are & how we excel: reports.mountsinai.org/article/grad...

What happens in the brain as people become less lonely? Intergenerational community programs can reduce loneliness, the underlying mechanisms remain unknown. We collected and analysed 732 🧠-scans to find out! www.biorxiv.org/content/10.1... @introspection.bsky.social + @escross.bsky.social

How do humans keep inventing tools and technologies that no single person could create alone? Our new preprint, led by @anilyaman.bsky.social & @ts-brain.bsky.social shows that semantic knowledge guides innovation and drives cultural evolution. 🧠📘 arxiv.org/abs/2510.12837

1st Sharp Lab preprint! 🚨 We tested how anxiety affects task generalization—not how people generalize threat stimuli, but how they reuse action-outcome structures when planning in new contexts. Worry makes people avoid reusing actions that co-occurred w/ threat! 📄: osf.io/preprints/ps... 🧵 1/12