Fan L. Cheng

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Fan L. Cheng

Fan L. Cheng

@LibraCheng

Currently postdoc @KriegeskorteLab | PhD @ykamit Lab | Math, Fudan U 🧐 🧠 💻 #Computational_neuroscience #AI #BMI

New York, NY Katılım Ekim 2017
187 Takip Edilen124 Takipçiler
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Fan L. Cheng
Fan L. Cheng@LibraCheng·
Can we reconstruct our subjective experiences from brain signals? Check our latest paper in @ScienceAdvances w/ my PhD advisor @ykamit and colleagues. We explore how reconstruction methods can advance understanding of neural representations behind illusion.science.org/doi/full/10.11…
Fan L. Cheng@LibraCheng

Visual illusions suggest that what we see is not always a direct reflection of the world, but rather a constructed representation. Is it possible to generate images mirroring illusory experiences directly from brain activity? Check our preprint! biorxiv.org/content/10.110…

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Paul Linton
Paul Linton@LintonVision·
Absolutely wonderful talk by Roland Fleming on “Grasping: measuring and modeling how we use our hands to pick things up” at @ZuckermanBrain
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Surya Ganguli
Surya Ganguli@SuryaGanguli·
I am searching for postdocs interested in developing a deeper scientific understanding of any aspect of AI and using this understanding to improve AI systems. If interested please email me materials by Jan 10th 2026: a CV, 3 letters of reference, and a statement of research interests (can be short, just indicating what you would like to work on). The positions are generously funded by grants from @schmidtsciences and @SimonsFdn. You will have the opportunity to collaborate with many labs across @StanfordHAI and also the Simons Collaboration on the Physics of Learning and Neural Computation (physicsoflearning.org).
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Tomoyasu Horikawa
Tomoyasu Horikawa@HKT52·
Our "mind captioning" paper is now published in @ScienceAdvances. The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding. doi.org/10.1126/sciadv…
Tomoyasu Horikawa@HKT52

Our new paper is on bioRxiv. We present a novel generative decoding method, called Mind Captioning, and demonstrate the generation of descriptive text of viewed and imagined content from human brain activity. The video shows text generated for viewed content during optimization.

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Jon Hernandez
Jon Hernandez@JonhernandezIA·
This is gona be the best Ai detector.. It's an image not a video, try it on whatever Ai you want, they won't see the floating heart. It's the human brain.
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Jack Parker-Holder
Jack Parker-Holder@jparkerholder·
Genie 3 feels like a watershed moment for world models 🌐: we can now generate multi-minute, real-time interactive simulations of any imaginable world. This could be the key missing piece for embodied AGI… and it can also create beautiful beaches with my dog, playable real time
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Thomas Fel
Thomas Fel@thomas_fel_·
Train your vision SAE on Monday, then again on Tuesday, and you'll find only about 30% of the learned concepts match. ⚓ We propose Archetypal SAE which anchors concepts in the real data’s convex hull, delivering stable and consistent dictionaries. arxiv.org/pdf/2502.12892…
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Yuzhe Qin
Yuzhe Qin@QinYuzhe·
🤖Tall Vega, short Vega - same robot, different altitude 🎡Those fancy vega wheels don't just zoom around - they'll make your table sparkle too! dexmate.ai Besides, we are hiring! AI wizards and hardware hackers - internships and full-time gigs await. Join us and get your personal Vega!
Dexmate@DexmateAI

Vega & the future 🤖🏠✨

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John Hewitt
John Hewitt@johnhewtt·
I’m hiring PhD students in computer science at Columbia! Our lab will tackle core challenges in understanding and controlling neural models that interact with language. for example, - methods for LLM control - discoveries of LLM properties - pretraining for understanding
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Eero Simoncelli
Eero Simoncelli@EeroSimoncelli·
The Center for Neural Science at NYU is aiming to add another computational neuroscientist to our community: apply.interfolio.com/157767 Come join us!
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