Kelsey Han
@chihyehan.bsky.social
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Cog Comp Neuro PhD at Johns Hopkins đź”—
http://kelseyhan-jhu.github.io
pinned post!
Human visual cortex representations may be much higher-dimensional than earlier work suggested, but are these higher dimensions of cortical activity actually relevant to behavior? Our new paper tackles this by studying how different people experience the same movies. đź§µ
www.cell.com/current-biol...
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High-dimensional structure underlying individual differences in naturalistic visual experience
Han and Bonner reveal that individual visual experience arises from high-dimensional neural geometry distributed across multiple representational scales. By characterizing the full dimensional spectru...
https://www.cell.com/current-biology/fulltext/S0960-9822(25)01692-6
5 months ago
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Kelsey Han
Erica Busch
18 days ago
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:
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Human learning of noninvasive brain–computer interfaces via manifold geometry - Nature Neuroscience
Busch 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...
https://www.nature.com/articles/s41593-026-02311-2
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Kelsey Han
Erica Busch
about 1 month ago
🎉🎉🎉🎉 I'm thrilled and humbled to share some major updates! (A 🧵 but TLDR: graduated from Yale, joining Sungkyunkwan University in South Korea as an IBS Young Scientist Fellow this summer, and starting as an assistant professor in Vanderbilt's College of Connected Computing in Fall 2027!)
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Kelsey Han
Mariam Aly
3 months ago
How do the brain’s event representations change as we gain familiarity with an experience? Brain regions’ representations can become coarser or finer as events become familiar. Slow-timescale structure predicts memory. Excited to share this work w/ Narjes Al-Zahli &
@chrisbaldassano.bsky.social
!
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Repeated Viewing of a Film Clip Changes Event Timescales in The Brain
Many everyday experiences share a recurring structure: routines, familiar routes, rewatched films, and replayed songs. How do repeated encounters with such structure alter the brain’s representations ...
https://www.jneurosci.org/content/early/2026/03/23/JNEUROSCI.1657-25.2026
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Kelsey Han
Hayoung Song
3 months ago
Attention fluctuates over time and across contexts—how is this reflected in the brain?🧠Fitting a dynamical systems model to fMRI data, we show that the geometry of neural dynamics along the attractor landscape reflects changes in attention. Out in
@natcomms.nature.com
www.nature.com/articles/s41...
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Geometry of neural dynamics along the cortical attractor landscape reflects changes in attention - Nature Communications
Attention fluctuates over time and across contexts—how is this reflected in the brain? Fitting a dynamical systems model to fMRI data, Song and colleagues show that the geometry of neural dynamics alo...
https://www.nature.com/articles/s41467-026-69041-8
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Kelsey Han
Alex Williams
3 months ago
Cosyne invited me to give a long tutorial (4 hours!) on methods to quantify differences high-d neural recordings across animals, brain regions, deep neural nets, etc. The recording is up on youtube. I hope it inspires more research on this fundamental topic!
www.youtube.com/watch?v=n44x...
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Cosyne 2026 - Cosyne Tutorial: Comparative Analysis of Neural Population Codes
YouTube video by Cosyne Talks
https://www.youtube.com/watch?v=n44xqrZ5j9U
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Kelsey Han
Andrew Lampinen
3 months ago
Pleased to share that our paper "Representation Biases: Variance is Not Always a Good Proxy for Importance" is now out as Theory/New Concepts paper in eNeuro!
www.eneuro.org/content/13/3...
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Representation Biases: Variance Is Not Always a Good Proxy for Importance
A central approach in neuroscience is to analyze neural representations as a means to understand a system's function, through the use of methods like principal component analysis, regression, and repr...
https://www.eneuro.org/content/13/3/ENEURO.0461-25.2026.abstract
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Human visual cortex representations may be much higher-dimensional than earlier work suggested, but are these higher dimensions of cortical activity actually relevant to behavior? Our new paper tackles this by studying how different people experience the same movies. đź§µ
www.cell.com/current-biol...
loading . . .
High-dimensional structure underlying individual differences in naturalistic visual experience
Han and Bonner reveal that individual visual experience arises from high-dimensional neural geometry distributed across multiple representational scales. By characterizing the full dimensional spectru...
https://www.cell.com/current-biology/fulltext/S0960-9822(25)01692-6
5 months ago
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reposted by
Kelsey Han
Mick Bonner
7 months ago
Dimensionality reduction may be the wrong approach to understanding neural representations. Our new paper shows that across human visual cortex, dimensionality is unbounded and scales with dataset size—we show this across nearly four orders of magnitude.
journals.plos.org/ploscompbiol...
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Kelsey Han
UniReps
7 months ago
📢The UniReps x
@ellis.eu
speaker series is back! Come join us in our next appointment 18th December 4 pm CET with
@meenakshikhosla.bsky.social
and Raj Magesh Gauthaman🔵🔴
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Kelsey Han
Mick Bonner
7 months ago
Hopkins Cog Sci is hiring! We have two open faculty positions: one in vision, and one language. Please repost!
add a skeleton here at some point
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