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Nakwon Rim

@nwrim.bsky.social
91 followers 139 following 4 posts

Ph.D. student at the University of Chicago Psychology Department interested in what information we retain and discard, usually in the context of social information.

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Reposted by Nakwon Rim
Russ Poldrack @russpoldrack.org · 22/09/2026
The published version of my paper "Understanding, Prediction, and Compression" is now online at Synthese: rdcu.be/svRh41KcQyta
rdcu.be
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Hayoung Song @hayoungsong.bsky.social · 08/06/2026
The Naturalistic Cognitive Computational Neuroscience Lab is launching at UT Austin and is looking for founding members at all levels, including lab manager, PhD students, and postdocs! #NeuroJobs We will study human brain🧠 and memory & attention, using fMRI and modeling. thesonglab.github.io
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Yuan Chang Leong @ycleong.bsky.social · 30/07/2026
Thank you for this feature! I'm admittedly awkward on video, but I really enjoyed working on the spotlight piece and taking a bigger picture view of my research trajectory!
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Matthieu Chidharom @matthieu-mx.bsky.social · 15/05/2026
@vssmtg.bsky.social l | Distracted during talks? Maybe your brain has better things to do. 🌊☀️🍹🏖️ Sunday, May 17, 9:30am, Talk Room 1 — I’ll present our new goal-competition theory with @monicarosenb.bsky.social and @edvogel.bsky.social.
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Igor Utochkin @utochkin.bsky.social · 16/05/2026
If you are at #VSS2026 check out our poster 36.320 in the Sunday afternoon session. I'll tell what we learned about the neural signatures of stimulus memorability from EEG decoding in a large visual memory dataset In collaboration w/Leo Chang, Ed Vogel (@edvogel.bsky.social), and Ed Awh
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Nakwon Rim @nwrim.bsky.social · 14/05/2026
Looking forward to reading this preprint! I saw this project as a poster at VSS last year, and it was one of the most thought-provoking posters I’ve seen. It even prompted me to update my face memorability experiments, so I’m excited to think through how it connects with my results, too!
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Nakwon Rim @nwrim.bsky.social · 10/04/2026
New paper in @commspsychol.nature.com, with @ycleong.bsky.social, Marc Berman, and @joshcjackson.bsky.social! Two-sentence summary: Political pundits often talk as if partisans are divided in how they feel about political issues, as in “Democrats love abortion” or “Republicans hate immigrants.” 1/2
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Hayoung Song @hayoungsong.bsky.social · 12/08/2025
Preprint⭐ Our attention changes over time and differs across contexts—which is reflected in the brain🧠 Fitting a dynamical systems model to fMRI data, we find that the geometry of neural dynamics along the attractor landscape reflects such changes in attention! www.biorxiv.org/content/10.1...
biorxiv.org
Geometry of neural dynamics along the cortical attractor landscape reflects changes in attention
The brain is a complex dynamical system whose activity reflects changes in internal states, such as attention. While prior work has shown that large-scale brain activity reflects attention, the mechan...
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Noga Zaslavsky @nogazs.bsky.social · 09/08/2025
If you missed us at #cogsci2025, my lab presented 3 new studies showing how efficient (lossy) compression shapes individual learners, bilinguals, and action abstractions in language, further demonstrating the extraordinary applicability of this principle to human cognition! 🧵 1/n
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Ren Calabro @rencalabro.bsky.social · 02/08/2025
Excited to present my poster today at 1:00! #cogsci2025
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Max Taylor-Davies @maxtaylordavies.bsky.social · 01/08/2025
At #CogSci2025 and curious about resource-rational models of social cognition? Come to Nob Hill A at 11:14 tomorrow to hear me talk about work with @tadegquillien.bsky.social where we use the information bottleneck to study stereotype use and the outgroup homogeneity bias!
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Ted Underwood @tedunderwood.com · 16/06/2025
Hey, the dataset is out now. A million books: huggingface.co/datasets/ins... H/t @naitian.org for the link
huggingface.co
institutional/institutional-books-1.0 · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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Nicole Rust @nicolecrust.bsky.social · 17/06/2025
⚡ New preprint ⚡ Long ago, I heard a talk about our remarkable ability to remember 1000s of images, after seeing each only once. How do brains manage it? 🤔 After years, this reflects the answer I was looking for. Congrats to Simon Bohn et al. www.biorxiv.org/content/10.1... More: /1
Resolving a paradox about how vision is transformed into familiarity
Simon Bohn, View ORCID ProfileCatrina M. Hacker, View ORCID ProfileBarnes G. L. Jannuzi, View ORCID ProfileTravis Meyer, Madison L. Hay, View ORCID ProfileNicole C. Rust
While humans and other primates are generally quite good at remembering the images they have seen, they systematically remember some images better than others. Here, we leverage the behavioral signature of "image memorability" to resolve a puzzle around how the brain transforms seeing into familiarity. Namely, the neural signal driving familiarity reports is thought to be repetition suppression, a reduction in the vigor of the population response in brain regions including inferotemporal cortex (ITC). However, within ITC, more memorable images evoke higher firing rate responses than less memorable ones, even when they are repeated. These two observations appear to conflict: if reduced firing leads to stronger memory signaling, then why are the images that induce greater firing more memorable? To resolve this paradox, we compared neural activity in ITC and the hippocampus (HC) as two rhesus monkeys performed a single-exposure image familiarity task. We found evidence that the paradox is resolved in HC where neural representations reflected an isolated memory signal that was larger for more memorable images, but HC responses were otherwise uncorrupted by memorability. Memorability behavior could not be accounted for by trivial computations applied to ITC (like thresholding). However, it could be decoded from ITC with a linear decoder that corrects for memorability modulation, consistent with the hypothesis that ITC reflects familiarity signals that are selectively extracted through medial temporal lobe (MTL) computation. These results suggest a novel role for the MTL in familiarity behavior and shed new light on how the brain supports familiarity more generally.
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Shan Gao | 高珊 @shangao.bsky.social · 07/05/2025
Now out in Social Cognitive and Affective Neuroscience (SCAN)! academic.oup.com/scan/advance...
academic.oup.com
Predicting whole-brain neural dynamics from prefrontal cortex fNIRS signal during movie-watching
Abstract. Functional near-infrared spectroscopy (fNIRS) offers a portable, cost-effective alternative to functional magnetic resonance imaging (fMRI) for n
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Yuan Chang Leong @ycleong.bsky.social · 25/04/2025
CASNL member Jadyn Park @jadynpark.bsky.social presenting her work on arousal, functional network and memory during narrative perception at #SANS2025 Preprint here: www.biorxiv.org/content/10.1...
biorxiv.org
Emotional arousal enhances narrative memories through functional integration of large-scale brain networks
Emotional events tend to be vividly remembered. While growing evidence suggests that emotions have their basis in brain-wide network interactions, it is unclear if and how these whole-brain dynamics c...
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Jin Ke @jinke.bsky.social · 17/04/2025
Now out in Plos Computational Biology! We identified a generalizable neural signature of emotional arousal across contexts and individuals during movie watching. work with the best team: @hayoungsong.bsky.social @Zihan Bai @monicarosenb.bsky.social @ycleong.bsky.social dx.plos.org/10.1371/jour...
dx.plos.org
Dynamic brain connectivity predicts emotional arousal during naturalistic movie-watching
Author summary This study explores how the brain represents two key dimensions of emotional experience: valence (how positive or negative an experience feels) and arousal (the level of emotional activ...
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Jadyn Park @jadynpark.bsky.social · 31/03/2025
Calling all couples in the Chicago area! 💕 I'm launching a new study with @ycleong.bsky.social and @lydiaemery.bsky.social to explore brain responses during conversations between couples. If you're interested, please fill out our brief screener! ssd.az1.qualtrics.com/jfe/form/SV_...
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Hayoung Song @hayoungsong.bsky.social · 13/03/2025
If you are curious about the brain🧠 on causal inference, insight💡, memory retrieval, and narrative comprehension🎬, this will be the one. work by dream team @jinke.bsky.social Rhea Madhogarhia @ycleong.bsky.social @monicarosenb.bsky.social ⭐
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Chong Zhao @zhaochong.bsky.social · 14/03/2025
Attention here! We found ind. diff. & fMRI evidence that sustained attention is more closely related to long term memory than to attentional control. With the best team @monicarosenb.bsky.social @edvogel.bsky.social @annacorriveau.bsky.social @jinke.bsky.social
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Jadyn Park @jadynpark.bsky.social · 14/03/2025
Remember what your partner said during a heated argument? Or the rush of getting your first job offer? Why do these emotionally arousing moments stick? Across 3 studies, and 3 arousal measures, we found that emotional arousal enhances memory encoding by promoting functional integration in the 🧠 1/🧵
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Ziwei Zhang @zz112.bsky.social · 23/12/2024
Out now in @naturehumbehav.bsky.social: We developed a generalizable brain network model predicting moment-to-moment surprise. This edge-fluctuation-based predictive model (EFPM) of surprise works across tasks, from adaptive learning to watching basketball games or cartoons! rdcu.be/d4y3g
rdcu.be
Brain network dynamics predict moments of surprise across contexts
Nature Human Behaviour - Zhang and Rosenberg built a model that predicts surprise from brain network dynamics measured with fMRI revealing similarities across distinct contexts (task learning,...
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henryjones.bsky.social @henryjones.bsky.social · 19/11/2024
The Awh Vogel lab is heading to Psychonomics! We made a page on our lab website to cover everything, including Ed Awh's OPAM keynote address! awhvogellab.com/conferences#... Find the great work on display from Chong, Igor, Matthieu, me(?), and Park!
awhvogellab.com
Conferences
The Awh Vogel Lab at the University of Chicago uses behavioral and neural methods to study attention and visual working memory
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