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Hung-Yun L.

@hungyun.bsky.social
23 followers 94 following 1 posts
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Jay Hennig @jhennig.bsky.social · 05/05/2026
🥳 Super excited to share our lab's first preprint, led by @hungyun.bsky.social "Distinct tasks engage shared neural subspaces in human hippocampus and anterior cingulate cortex" www.biorxiv.org/content/10.6... 🧵(1/9)
biorxiv.org
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Marlene Cohen @marlenecohen.bsky.social · 20/03/2026
New preprint: our lab’s first Alzheimer’s paper! “Loss of neuronal population organization links pathology to behavior in a model of Alzheimer's disease” www.biorxiv.org/content/10.6... 🧪🧵1/
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Andrew Lampinen @lampinen.bsky.social · 17/03/2026
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... 1/
eneuro.org
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...
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Renato Duarte @rcfduarte.bsky.social · 11/03/2026
I tracked every keyword in 22 years of Cosyne abstracts to map how computational neuroscience evolved — from Bayesian brains to neural manifolds to LLMs — and where it's heading next.
open.substack.com
22 years of Brain Science: what CoSyNe tells us about the evolution of Neuroscience
Tracking the intellectual DNA of Computational and Systems Neuroscience through its flagship meeting
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Louis Pezon @lpezon.bsky.social · 06/03/2026
Excited to share our new paper to be published in Neuron! With Valentin Schmutz @bio-emergent.bsky.social and Wulfram Gerstner @gerstnerlab.bsky.social, we explore how circuit structure in RNNs shapes network computation and single-neuron responses. www.sciencedirect.com/science/arti...
sciencedirect.com
Linking neural manifolds to circuit structure in recurrent networks
Dimensionality reduction methods are widely used in neuroscience to investigate two complementary aspects of neural activity: the distribution of sing…
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Abby @arobertswrites.com · 26/12/2025
You can tell that LotR was written by an academic because Gandalf disappears for like 20 years doing research to answer a single question.
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Ben Hayden @benhayden.bsky.social · 23/12/2025
New Perspective from myself, Sarah Heilbronner and @myoo.bsky.social . “Rethinking the centrality of brain areas in understanding functional organization” in Nature Neuroscience. 🧵 rdcu.be/eVZ1A
rdcu.be
Rethinking the centrality of brain areas in understanding functional organization
Nature Neuroscience - Parcellation of the cortex into functionally modular brain areas is foundational to neuroscience. Here, Hayden, Heilbronner and Yoo question the central status of brain areas...
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Ulises Pereira-Obilinovic @ulisespereirao.bsky.social · 02/12/2025
0/10 Thanks for the interest in our preprint. Some takes say it negates or fully supports the “manifold hypothesis”, neither quite right. Our results show that if you only focus on the manifold capturing most of task-related variance, you could miss important dynamics that actually drive behavior.
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Dan Levenstein @dlevenstein.bsky.social · 23/11/2025
“Our findings challenge the conventional focus on low-dimensional coding subspaces as a sufficient framework for understanding neural computations, demonstrating that dimensions previously considered task-irrelevant and accounting for little variance can have a critical role in driving behavior.”
biorxiv.org
Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification
Most behaviors involve neural dynamics in high-dimensional activity spaces. A common approach is to extract dimensions that capture task-related variability, such as those separating stimuli or choice...
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Reposted by Hung-Yun L.
Guido Meijer @guidomeijer.com · 16/10/2025
Want to make publication-ready figures come straight from Python without having to do any manual editing? Are you fed up with axes labels being unreadable during your presentations? Follow this short tutorial including code examples! 👇🧵
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