Shawn Rhoads

Shawn Rhoads

@shawnrhoadsphd.com

Assistant Professor @ ISMMS NIH Director's Early Independence Awardee Lindau Nobel Laureate Young Scientist PI @ sinclaboratory.com Using computational models, fMRI, & intracranial EEG to study social inference, learning, empathy, loneliness, & well-being

1.4K followers537 following68 posts

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📢 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...

📢 My lab at the Mount Sinai School of Medicine is considering graduate student applications this fall! We welcome applicants interested in using computational modeling to study social interaction 🗓️ Deadline: December 1, 2026 🔗 Learn more: sinclaboratory.com/apply #comppsychiatry #socialneuro

📢 My lab at the Mount Sinai School of Medicine is considering graduate student applications this fall! We welcome applicants interested in using computational modeling to study social interaction 🗓️ Deadline: December 1, 2026 🔗 Learn more: sinclaboratory.com/apply #comppsychiatry #socialneuro

Shawn Rhoads reposted

📣 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 👀

Shawn Rhoads reposted

Grant peer review costs a lot: ~$40k per application in reviewer time, with proposals reviewed again and again. In @thetransmitter.bsky.social , I propose a partial lottery: reviewers decide pass/fail, chance picks among the passes, and "unmissable" ideas and ECRs get protected routes.

thetransmitter.orgHow about adding an element of chance to grant review?A process that uses a lottery system saves time and accepts that, above a quality threshold, luck has always played a part in science funding.

Shawn Rhoads reposted

Replying to @jpheffne.bsky.social

We are growing the team! Currently recruiting a PhD student (Fall 2027 start, portal opens mid-Sep) and hiring a lab manager. Inquiries from postdocs, prospective PhD students, and research assistants are all welcome. Apply now! www.heffner-lab.com/join

heffner-lab.comPeople | Join the ECC Lab — Emotions, Computation, and Choice LabLearn more about available positions and how to join the Emotions, Computation, and Choice Lab at Stanford University.

Shawn Rhoads 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

Shawn Rhoads reposted

First preprint from the lab from postdoc Carlo Cerquetella! Demonstrating that neuronal spiking in the human medial temporal lobe and prefrontal cortex cohere into a redundant, low-dimensional neural correlate of visual attention (captured mostly by saccades) during naturalistic movie viewing.

bioRxiv Neuroscience@biorxiv-neursci.bsky.social

Human single-neuron recordings reveal population coding of attentional dynamics during naturalistic movie viewing https://www.biorxiv.org/content/10.64898/2026.09.08.748346v1

Shawn Rhoads reposted

One week left to apply to the @sinaiccp.bsky.social New York Computational Psychiatry workshop! 💡 Learn more here: center-for-computational-psychiatry.github.io/course_nycpw/ 📝 Apply here by 8/31: airtable.com/appU8UxfDSQh...

⏰ One week left to apply for in-person attendance at the New York Computational Psychiatry Workshop! Interested in using computational methods to advance our understanding of mental health? 👉 Apply now to explore and connect with others in the field: airtable.com/appU8UxfDSQh...

Shawn Rhoads reposted

Now published in eLife: elifesciences.org/articles/103... We find strong evidence that activity in Pre-SMA and vmPFC scales with gaze-weighted accumulated evidence, suggesting attention directly modulates value signals in canonical decision-making circuits! 🧵 on the methods + findings:

elifesciences.orgOvert visual attention modulates decision-related signals in the frontal cortexBrain activity in the pre-supplementary motor area and dorsolateral prefrontal cortex represents gaze-weighted accumulated evidence signals in value-based decision-making.

Shawn Rhoads reposted

Shawn Rhoads reposted

1/ I am thrilled to begin sharing the latest release of pyEM, a Python package I built for fitting cognitive computational models to behavioral data using hierarchical expectation maximization (EM) with maximum a posteriori estimation (MAP). github.com/shawnrhoads/...

Back in New Haven for #cpconf2026! If you'll be there, come say hi! In the first session (#A54), I'll present work on how social craving dynamics shape loneliness - one example using pyEM for custom computational models 📃 Preprint: osf.io/preprints/ps... 📈 App: shawnrhoadsphd.com/social-cravi...

osf.ioOSF
Shawn Rhoads@shawnrhoadsphd.com

1/ I am thrilled to begin sharing the latest release of pyEM, a Python package I built for fitting cognitive computational models to behavioral data using hierarchical expectation maximization (EM) with maximum a posteriori estimation (MAP). github.com/shawnrhoads/...

Shawn Rhoads reposted

Very grateful to be able to travel to an academic conference in the US by train! A smooth 5-hr "high-speed" ride from DC to New Haven non-stop, lots of work done, and very excited to catch up with friends and colleagues at #cpconf #cpconf2026 🚨 My lab will be presenting 4 posters, details below 🔽

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7/ pyEM includes templates for other models including: * MF/MB reinforcement learning * Bayesian inference * Discounting (social/temporal/probability/effort) * Prospect theory * Signal detection theory I included a workflow to create custom models (or variants of these related to your study design)

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3/ Hierarchical EM with MAP gave me a great alternative! It estimates each participant’s parameters while also learning the population-level parameter distribution. That distribution acts as a prior, partially pools information across participants, and helps regularize noisy individual estimates.

4/ A few implementations and related variants exist in MATLAB. Python has machine-learning implementations. However, I built pyEM around the workflow I most often need for trial-level computational models of behavior in Python: simulations, model fitting, parameter recovery, model identifiability

2/ pyEM grew out of a frustration I kept encountering in graduate school. Some workflows took a long time, and repeated fits of the same model to the same data could return noticeably different point estimates. Standard MLE worked well for simpler models, but not for more complex models.

Shawn Rhoads reposted

What predicts mental health disorders' onset and treatment success? Join our free #CCN2026 satellite meeting on the latest computational cognitive neuroscience parsing the multi-scale, dynamical systems of disorders that emerge across development, symptom expression, presentation & treatment.

Shawn Rhoads reposted

🌟 Research Assistant opportunity 🌟 I'm looking for an RA to support research at The Centre for Human Brain Health (CHBH) on social information seeking and decision making, including fMRI and MEG 🧠 tinyurl.com/uob-chbh-ra Deadline: 19th July, 23:59 UK time ⏳ Start: 7th September 🗓️ Please share 🔁

tinyurl.comResearch Associate - School of Psychology - 104433 - Grade 6We welcome applications for a Research Associate / Lab Manager in the Centre for Human Brain Health (CHBH). The CHBH is a friendly, productive, and supportive environment where all colleagues can thri...

Shawn Rhoads reposted

🚨This preprint is now out in PNAS: www.pnas.org/doi/full/10.... We combine a dyadic foraging paradigm w/ computational modeling + ABM to study how people navigate differing preferences, share responsibility for shared outcomes & what that means for the group! more in 🧵⬇️ @fearbrain.bsky.social

Ketika Garg@ketikagarg.bsky.social

🚨 Excited to end the year with a new preprint w/ Wenning Deng (not on bsky) and Dean Mobbs @fearbrain.bsky.social 🎉 🎉 "Blame and Compromise During Risky Dyadic Foraging" osf.io/preprints/ps... Feedback is very welcome! Thread: 🧵 1/n

Shawn Rhoads reposted

How do human minds make sense of big, messy problems? 😵‍💫🌀 How do we distill complexity into something simple enough to solve? 🤔💡 We’ll be tackling these questions (and more!) at two workshops on task representations, abstractions, and construals #CogSci2026 #CCN2026 🧵 framing-the-problem.github.io

framing-the-problem.github.ioFraming the Problem — Workshop SeriesA workshop series on representation construction in cognitive science and AI. CogSci 2026 (Rio) and CCN 2026 (NYU).

Shawn Rhoads reposted

Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:

nature.comHuman learning of noninvasive brain–computer interfaces via manifold geometry - Nature NeuroscienceBusch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...

Shawn Rhoads reposted

🌵🏜️🌵 Out now in @cognitionjournal.bsky.social with @rbhui.bsky.social! If your advisor sends you an unclear email, do you interpret it as good or bad? 😏😱 In a new paper, we show how people make inferences about this type of ambiguous feedback during learning. www.sciencedirect.com/science/arti...

sciencedirect.comAmbiguity and confirmatory reward learningWe tend to interpret feedback in ways that confirm our pre-existing beliefs. Such confirmatory tendencies are often viewed as cognitive flaws, but mig…

Shawn Rhoads reposted

Pointing out that “everyone else is already doing it!” is a classic way to motivate prosocial behavior. But how can we encourage actions which aren't popular yet? In a new paper in @jexpsocpsych.bsky.social, Mike Norton and I had a lot of fun testing a method using "collective streaks." (1/5)

Shawn Rhoads reposted

📣 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...

biorxiv.orgNeural Dynamics of Belief and Value Computations Guiding Strategic Social DecisionsSuccessful 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

Shawn Rhoads reposted

How do exclusion and adversity drive social learning in adolescence? Here, @drjk.bsky.social, Lyn Ellett and I show that social exclusion reduces adolescent belief flexibility about others at a later point in time, and reduces the ability to generalise from social cues - 🧵 1/5

Shawn Rhoads reposted

Social media is no longer social. Most of it is passive viewing of videos and pictures from people we've never met. But we're still studying social media like it's 2010. We've entered the post-social media era — and research needs to catch up. osf.io/preprints/so... preprint w/ Richard Rogers