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/10.1126…

Excited to announce CCN @CogCompNeuro Satellite Event: Modeling and Understanding Human Brain Computation at Scale We explore how we can best leverage the many recent advances with neural network modeling and brain foundation models toward theoretical insight and benefit for humanity. Sunday, August 2, 2026 @ZuckermanBrain Organized with @Pinyuan3, @LibraCheng, Andrew Luo, and @KriegeskorteLab

@CogCompNeuro Satellite Event: COMPUTATIONAL CONSCIOUSNESS SCIENCE Saturday, 1 August 2026 New York University Bringing computational modelling, neuroscience, and philosophy together to understand consciousness NYU Center for Mind, Brain and Consciousness #CCN2026

You see rotation when you move your eyes, even though the image is 100% static. Our #CVPR Findings paper uses motion illusions to (1) reveal gaps between human and AI motion processing and (2) identify architectures key for aligning vision models with human perception. openaccess.thecvf.com/conten…

Check out our paper on AI-human comparisons in subjective motion perception! openaccess.thecvf.com/conten…

1/ When diffusion generates images from text, before an image has objects, how does each noisy token know what it should become? In our new work, we found that Diffusion Transformers solve spatial-relation prompts using a circuit motif reminiscent of developmental biology: morphogen-like spatial gradients. At the start of sampling, image tokens are mostly uninformed noise — like an undifferentiated sheet in an embryo. Relation heads then write smooth spatial gradients onto the image canvas, guiding where objects should emerge. Accepted as a @CVPR 2026 Highlight🌟: animadversio.github.io/DiT-R… Beautiful collaboration with my friends and colleagues @fjxdaisy & Xu Pan! A 🧵

1/ New preprint VSS poster! Attention has long been thought to enable efficient vision. But does it? First demonstration that attention—consuming just 4-5% of the energy budget—can cut the energetic costs of vision in half. #VSS2026

🧵Excited to announce— "Reimagining the binding problem(s) for the 21st century": A VSS Symposium St. Pete Beach @VSSMtg May 15th, 10:30am Presenters: Peter Tse, JohnMark Taylor, Seda Karakose-Akbiyik, Ana Chica, Anne Sereno, & Jake Quilty-Dunn visionsciences.org/symposia/…

Our paper "Readout Representation: Redefining Neural Codes by Input Recovery" has been accepted at ICLR 2026🎉🥳

🧠What do neurons “want”?✨ Kempner researchers @WangBinxu and @HombreCerebro have developed a way for neurons to train AI image models to match their “preferences.” Read more about the research, out now in @NatureNeuro, here: bit.ly/4bz47hw #neuroscience #NeuroAI

Absolutely wonderful talk by Roland Fleming on “Grasping: measuring and modeling how we use our hands to pick things up” at @ZuckermanBrain

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/).

Bringing our Tactile UMI and additional two tactile fingers to NeurIPS! All three authors @YunzhuLiYZ @XinyueYolandaZ and I will be at our poster for demo on Thu 12:00–15:00 in Exhibit Hall C/D/E, #2400. Otherwise feel free to catch me around the venue Wed–Fri 🙂

I’ll be at #NeurIPS2025 in San Diego (Dec 2–6)! Presenting our "Interpretable Brain Decoding" paper (@KriegeskorteLab,@adeli_hossein,@wenxuan_guo_,@ethanhwang_,@LibraCheng) at the Foundation Models for the Brain and Body Workshop on Dec 6, 3:45–5:00 pm. Happy to chat!

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.adw14…

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.

The MIT Consciousness Club will have a Zoom option for those who would like to join online. First session Friday, Sept 19, 12pm-1:30pm. For more, see: sites.google.com/view/mit-co…. You can also register to the email list here: docs.google.com/forms/d/e/1F….

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

And here’s an experimental podcast-style of paper summary, generated via Notebook LM directed by me! Link: notebooklm.google.com/notebo…