Our new paper in nature shows that entorhinal grid cells adapt their representations to a new environment in one-shot and we derive a model that fuses landmarks & motion to *predict* the detailed grid rep *before* the mouse enters the new environment! nature.com/articles/s4158…

Only a few more days to apply to our amazing PhD program! imprs.is.mpg.de/application

Evo has been published in @Science! A true privilege to work with such an amazing team! So many exciting new experimental results in this emerging field of Generative Genomics, including AI generated and *validated* CRISPR-Cas systems and transposons

People have too inflated sense of what it means to "ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as "asking the average data labeler" on the

Come find us at NeurIPS to chat about large scale multimodal models of the brain.

Enigma's hosting a post-workshop social with New Theory tonight: NEURREPS x UNIREPS X NEUROAI 7-11pm. RSVP link below

With Nvidia’s shares plummeting by ~17% and other big tech taking hits, today alone saw a market value loss exceeding $589 billion. This happened because we put all our eggs in one basket: scaling compute as the sole path to AGI. Time to rethink.

New paper on self-supervised optical flow and occlusion estimation from video foundation models. Stefan Stojanov Jiajun Wu Seungwoo (Simon) Kim Rahul Venkatesh tinyurl.com/dpa3auzd @

New paper on 3D scene understanding for static images with a novel large-scale video prediction model. neuroailab.github.io/projects/lras_… Strong results in self-supervised depth extraction, novel view synthesis (aka camera control), and complex object manipulations.

🚀 Excited to share our new paper! We introduce the first autoregressive model that natively handles: 🎥 Novel view synthesis 🎨 Interactive 3D object editing 📏 Depth extraction ➕ and more! No fine-tuning needed—just prompting. Outperforming even diffusion-based methods!

After 7 years, thrilled to finally share our #MICrONS functional connectomics results! We recorded activity from ~75K neurons in visual cortex in a single mouse, then mapped its wiring using electron microscopy. To systematically characterize neuron function, we built the first

Enigma's excited to co-sponsor Foundry's AI for Science Symposium in San Francisco on May 16th. Join us for an exciting day of presentations and panels on how AI can transform the scientific process.

(1/6) Thrilled to share our triple-N dataset (Non-human Primate Neural Responses to Natural Scenes)! It captures thousands of high-level visual neuron responses in macaques to natural scenes using #Neuropixels. Link: biorxiv.org/content/10.110…