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Reposted by Yuan Chang Leong

Data Science Institute @dsi-uchicago.bsky.social · 2d

Job Opportunity Alert

Eric and Wendy Schmidt AI in Science Fellowship at the University of Chicago: apply.interfolio.com/173322

EOE/Vet/Disability

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Reposted by Yuan Chang Leong

Jean Luo @jeanieluo.bsky.social · 5d

Very excited to share that my first paper, with Peter Mende-Siedlecki and @leorhackel.bsky.social, is out now in @commspsychol.nature.com! ☺️

Can getting more rewards make you feel more skilled, even if your performance doesn't change?

www.nature.com/articles/s44...

Rewards bias self-evaluations of ability - Communications Psychology

People often receive rewards for good performance, but what happens when rewards do not reflect ability? Two behavioral studies suggest that rewards can impact how we evaluate our own ability, above and beyond the impact of actual performance.

www.nature.com

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Reposted by Yuan Chang Leong

Gabriel Fajardo @gabefajardo.bsky.social · 6d

I’m excited to share my 1st first-authored paper, “Distinct portions of superior temporal sulcus combine auditory representations with different visual streams” (with @mtfang.bsky.social and @steanze.bsky.social ), now out in The Journal of Neuroscience!
www.jneurosci.org/content/earl...

Fig. 1. a. Visual and auditory regions of interest (ROIs). b. Responses in a combination of visual (e.g., early dorsal visual stream; Fig. 1a, middle panel) and auditory regions were used to predict responses in the rest of the brain using MVPN. c. In order to identify brain regions that combine responses from auditory and visual regions, we identified voxels where predictions generated using the combined patterns from auditory regions and one set of visual regions jointly (as shown in Fig. 1b) are significantly more accurate than predictions generated using only auditory regions or only that set of visual regions.

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Reposted by Yuan Chang Leong

Sam Nastase @samnastase.bsky.social · 7d

I'm recruiting PhD students to join my new lab in Fall 2026! The Shared Minds Lab at @usc.edu will combine deep learning and ecological human neuroscience to better understand how we communicate our thoughts from one brain to another.

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Reposted by Yuan Chang Leong

SANS @sansmeeting.bsky.social · 8d

We're excited to announce that the #SANS2026 Presidential Keynote Speaker will be Dr. Steve Chang of Yale! (medicine.yale.edu/profile/stev...). He will deliver an address titled "Diverse Social Strategies and Neural Mechanisms underlying Mutual Cooperation"

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Reposted by Yuan Chang Leong

Shawn Rhoads @shawnrhoadsphd.com · 16d

📢 My lab at the Mount Sinai School of Medicine is considering graduate student applications this fall

We welcome applicants interested in using computational modeling & fMRI to study social connection

🗓️ Deadline: December 1, 2025
🔗 Learn more: sinclaboratory.com/apply

#comppsychiatry #socialneuro

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Reposted by Yuan Chang Leong

Youngki Hong @youngkihong.bsky.social · 29d

I’m admitting 1–2 Ph.D. students to join my lab in the Department of Psychology and Neuroscience at CU Boulder, starting Fall 2026. We study person perception, stereotyping and prejudice, and intervention science.

Application info: www.colorado.edu/psych-neuro/...
Lab info: www.svmlab.org

Colorado Social Vision & Mind Lab

The Social Vision & Mind Lab (Director: Youngki Hong, Ph.D.) at the University of Colorado Boulder explores how people perceive and make sense of the physica...

www.svmlab.org

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Reposted by Yuan Chang Leong

Esther Mondragón @emp1.bsky.social · 12d

I came across a terrific interview with Peter Dayan, always a delight to listen to.

Peter's speed of mind and talk is possibly unsurpassable.
www.youtube.com/watch?v=Cttx...

Peter Dayan: How to study the brain from a computational view | Q-Learning, Memory, Decision Making

YouTube video by Neuroscience and Beyond

www.youtube.com

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Yuan Chang Leong @ycleong.bsky.social · 12d

amazing work led by @hongkai1.bsky.social suggesting that wanting to be unique can make social media posts more negative over time!

Joshua Conrad Jackson @joshcjackson.bsky.social · 12d

🚨New preprint🚨

osf.io/preprints/ps...

In a sample of ~2 billion comments, social media discourse becomes more negative over time

Archival and experimental findings suggest this is a byproduct of people trying to differentiate themselves

Led by @hongkai1.bsky.social in his 1st year (!) of his PhD

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Reposted by Yuan Chang Leong

Brynn Sherman @brynnsherman.bsky.social · 19d

Last month, I launched my lab at Ohio State. Our lab website is now live, and we're recruiting graduate students this cycle! If you're interested in the cognitive (neuro)science of learning & memory, please reach out!

www.momentslab.org

Moments Lab

www.momentslab.org

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SANS @sansmeeting.bsky.social · 27d

🚨Introducing the SANS Fellows Program 🚨

We’re excited to honor members whose scholarship, mentorship, & service have shaped social & affective neuroscience!

Nominate someone—or yourself—to be a SANS Fellow!

Details: socialaffectiveneuro.org/sans-fellows...

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Reposted by Yuan Chang Leong

de Gee lab @degeelab.bsky.social · Sep 5

🧠✨ Exciting new research alert! ✨🧠

Did you know that catecholamines can reduce choice history biases in perceptual decision-making? 🧐🔍

Paper: journals.plos.org/plosbiology/...

With @donnerlab.bsky.social and @swammerdamuva.bsky.social

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Yuan Chang Leong @ycleong.bsky.social · Sep 5

check out @hayoungsong.bsky.social's new work combining RNNs, fMRI and verbal reports to study how the brain represents and retrieves causally related memories while watching a TV episode! has been super fun to be part of this!

Hayoung Song @hayoungsong.bsky.social · Sep 5

How does the brain🧠 make causal inferences and use memories to understand narratives🎬?

We built an RNN🤖 with key-value episodic memory that learns causal relationships between events and retrieves memories like humans do!

Preprint www.biorxiv.org/content/10.1...

w/ @qlu.bsky.social, Tan Nguyen &👇

A neural network with episodic memory learns causal relationships between narrative events

Humans reflect on past memories to make sense of an ongoing event. Past work has shown that people retrieve causally related past events during comprehension, but the exact process by which this causa...

www.biorxiv.org

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Reposted by Yuan Chang Leong

Mark Thornton @markthornton.bsky.social · Aug 29

After 5 years, I finally carved out time to turn this blog post on FDR (markallenthornton.com/blog/fdr-pro...) into a manuscript. The preprint features a much broader range of simulations showing how FDR promotes confounds, and how this effect compounds with publication bias: osf.io/preprints/ps...

Effect of confound mass on true positive rates under FDR correction. Confound mass represents how large a confound is in terms of the product of its voxel extent and effect size. Results are shown at differing combinations of true effect size, true effect voxel extent, and sample size.

Inflated surface maps of meta-analytic z-statistics from Neurosynth for low-level confounds (top) and high-level cognitive tasks (bottom). Red reflects positive activations, blue reflects negative (de)activations, and darker colors indicate larger z-statistics. Maps are thresholded at |z| = 1 for visualization purposes.

Effect of confound effect size on true positive rates for task effects under FDR correction. Colors indicate sample sizes: N = 25 in blue, N = 50 in green, and N = 100 in orange. Effect sizes are reflected by the darkness of each color, with light shades representing d = .2, medium d = .5, and dark d = .8. The task brain maps and confound brain maps referenced in each panel are shown in Figure 3.

Effect of FDR-based publication bias on observed confound effects sizes. Simulated meta-analytic confound effect sizes are visualized through violin plots for each combination of task effect and confound effect examined in the neural data simulations. Meta-analyses featuring publication bias (orange) substantially inflate these effect size estimates in all cases, relative to meta-analyses featuring no publication bias (blue).

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Yuan Chang Leong @ycleong.bsky.social · Aug 20

what happens during "resting state"? @jinke.bsky.social asked this question by (literally) asking what participants what they were thinking during rest, finding that ongoing thoughts are reflected in FC patterns and predict behavior/traits!

excited to be part of this project!

Jin Ke @jinke.bsky.social · Aug 20

New preprint! 🧠

Our mind wanders at rest. By periodically probing ongoing thoughts during resting-state fMRI, we show these thoughts are reflected in brain network dynamics and contribute to pervasive links between functional brain architecture and everyday behavior (1/10).
doi.org/10.1101/2025...

Ongoing thoughts at rest reflect functional brain organization and behavior

Resting-state functional connectivity (rsFC)-brain connectivity observed when people rest with no external tasks-predicts individual differences in behavior. Yet, rest is not idle; it involves streams...

www.biorxiv.org

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Reposted by Yuan Chang Leong

serences.bsky.social @serences.bsky.social · Aug 13

I gave a talk in 2009 about feature-based attention and a famous vision scientist asked how top down signals from PFC could possibly target the right sensory neurons. The best I could do was "uh, dunno". sunyoungp.bsky.social has a much more thoughtful answer journals.plos.org/ploscompbiol...

Near-random connections support top-down feature-based attentional modulations in early sensory cortex

Author summary In everyday life, we focus on what matters—like finding our car keys on a messy desk—by sending signals from higher control brain areas to earlier sensory brain areas. These “top-down” ...

journals.plos.org

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Reposted by Yuan Chang Leong

Norman Lab @ptoncompmemlab.bsky.social · Aug 13

Come work with us! @princetonneuro.bsky.social and the Department of Psychology at Princeton University are searching for a tenure-track Assistant Professor in the area of human cognitive neuroscience, to be hired jointly in Psychology and Neuroscience: puwebp.princeton.edu/AcadHire/app...

puwebp.princeton.edu

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Yuan Chang Leong @ycleong.bsky.social · Aug 3

Excited for Ren to showcase this work on using CNNs and eye tracking to study intuitive physical reasoning 🗼

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Reposted by Yuan Chang Leong

Akram Bakkour @akrambakkour.bsky.social · Jul 31

Very happy to see this work with Euan Prentis posted! If you’re going to CCN next week, go check out Euan’s poster on this work!

bioRxivpreprint @biorxivpreprint.bsky.social · Jul 31

Overcoming distortion in multidimensional predictive representation https://www.biorxiv.org/content/10.1101/2025.07.29.667463v1

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Reposted by Yuan Chang Leong

Alison Preston @prestonlab.bsky.social · Aug 1

It was great fun working with @alexanderhuth.bsky.social and @mujianing.bsky.social on these theoretical ideas. We are excited for everyone to check out the preprint! www.biorxiv.org/content/10.1...

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Reposted by Yuan Chang Leong

Leor Hackel @leorhackel.bsky.social · Jul 30

Our latest paper, led by @yizhang96.bsky.social, finds Pavlovian learning shapes empathy:

People can link another person's abstract mental states—like feeling good or bad—with reward. This shapes empathy in new situations where those feelings are perceived.

Yi Zhang @yizhang96.bsky.social · Jul 30

🥳Excited to share that our new paper is live at Psychological Science @psychscience.bsky.social! We show that Pavlovian learning can grow empathy for another person. 🧵👇

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Yuan Chang Leong @ycleong.bsky.social · Jul 22

Excited to have contributed to this work led by @curtispuryear.bsky.social!

Using large-scale text analyses, we show that moralization has increased on social media over the past decade and a half, less so on traditional media

Curtis Puryear @curtispuryear.bsky.social · Jul 22

New preprint! We developed new measurement tools to examine moralization in ~2B Twitter/X & Reddit posts and ~5M traditional media texts.

Key finding: moralization increased markedly on social media from 2013-2021; more than traditional media; associated with multiple user dynamics
🧵👇

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Reposted by Yuan Chang Leong

Megan deBettencourt @mdebettencourt.bsky.social · Jul 21

I'm excited to share a new preprint! We built a digital, scalable intervention to reduce intrusive memories, combining an AI chatbot with LLM scoring of human-AI conversations and pupillometry predictors of effort and intervention success. I hope you enjoy! arxiv.org/abs/2507.01081

AI-guided digital intervention with physiological monitoring reduces intrusive memories after experimental trauma

Trauma prevalence is vast globally. Evidence-based digital treatments can help, but most require human guidance. Human guides provide tailored instructions and responsiveness to internal cognitive sta...

arxiv.org

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Reposted by Yuan Chang Leong

Steve Rathje @steverathje.bsky.social · Jul 17

🚨New paper in @cp-trendscognsci.bsky.social 🚨

Why do some ideas spread widely, while others fail to catch on?

We review the “psychology of virality,” or the psychological & structural factors that shape information spread online and offline: authors.elsevier.com/c/1lRke4sIRv...

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Allie Sinclair @asinclair.bsky.social · Jul 14

Excited to share my new lab website!

The Learning & Behavior Change Lab will launch at Rice in July 2026. I’ll be recruiting over the next year! @ricesocsci.bsky.social

www.sinclairlab-rice.com

Sinclair Lab

The Learning & Behavior Change Lab at Rice University, directed by Dr. Sinclair

www.sinclairlab-rice.com

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