Hongyu_Chang @hongyu_chang
Grad student in @azayhara and @antferrui lab @Cornell NBB, alumnus from Haruo Kasai lab @IRCN_UTokyo, She/her [email protected] https://t.co/0qCAzGuGU7 Ithaca, NY Joined September 2019-
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Curious about how mice follow odor trails? Excited to share our latest (long-time brewing)! We watched mice on an "endless" treadmill. Combining experiments with Bayesian modeling we show that mice use predictive (not reactive) strategies!
Time-compressed theta sequences, representational drift, and flickering between alternate representations are fascinating network phenomena. Now we reveal what they have in common and how and when they emerge and express via generative processes: rdcu.be/eCGWt 1/5
🚨 BREAKING: NVIDIA just exposed the dirty secret about LLMs. Their new paper proves SLMs outperform massive models in real-world applications. AI researchers are quietly pivoting overnight. 10 wild findings that change everything:
Introduction to Machine Learning by J. Deng and R. Fong and V. Ramaswamy Lecture notes: princeton-introml.github.io
New preprint from collaboration with @SN_Lab - 2p imaging of psilocybin's effects on neurovascular coupling 🔬 We found that psilocybin prolongs the neurovascular response, independent of neural activity. This affects how we should interpret fMRI BOLD studies of #psychedelics‼️
New preprint from collaboration with @SN_Lab - 2p imaging of psilocybin's effects on neurovascular coupling 🔬 We found that psilocybin prolongs the neurovascular response, independent of neural activity. This affects how we should interpret fMRI BOLD studies of #psychedelics‼️
Excited to share our latest work is up on bioRxiv! Looking at capillary flow speed changes we show that psilocybin prolongs the neurovascular coupling response to a visual stimulus. 🍄🔬🧠🩸 Preprint: biorxiv.org/content/10.110…
Redundancy and high dimensionality are overlooked in robotics. They are crucial aspects to building a "complex" system, instead of just a "complicated" system. What you get is speed, smoothness, robustness, and performance.
Can an AI model predict perfectly and still have a terrible world model? What would that even mean? Our new ICML paper formalizes these questions One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵
Our new paper is out in Science. We identified a subgroup of cholinergic neurons that mediate sensory modality-specific attention. They change their funcitonal properties within secs of behavioral context change. Congrats to Bin and the team! science.org/doi/10.1126/sc…
#PR Our study on sleep & learning is out in PLOS Biology! We show how synaptic connections may strengthen during sleep, called WISE: Wake Inhibition Sleep Excitation. Congrats Fukuaki! Experimental proof will follow in the future. Recruiting grads! Ms→journals.plos.org/plosbiology/ar…
Happy to share my first post-doc paper with Peter Dayan just published at @NeuroCellPress "Multistability, Perceptual Value, and Internal Foraging" Paper (free access before Oct 18th): authors.elsevier.com/a/1ffq33BtfH1Y… No access? Email me at [email protected] 🧵👇
Thank you Antonio Fernandez Ruiz, PhD (@antferrui) and Robert Hill, PhD (@bobalhill) for presenting their research at the recent Klingenstein Fellowship Awards in Neuroscience Conference. 📷 : @SimonProPhoto1
Our latest study identifies a specific cell type and receptor essential for psilocybin’s long-lasting neural and behavioral effects 🍄🔬🧠🐁 Led by Ling-Xiao Shao and @ItsClaraLiao Funded by @NIH @NIMHgov 📄Read in @Nature - nature.com/articles/s4158… 1/12
New video featuring the new bioRxiv paper by Wenbo Tang, @hongyu_chang from @antferrui lab. Very interesting results and I learned a lot! b23.tv/53ELeNF (video in Mandarin).

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