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Excited and proud to see all the MICrONS papers out in Nature Portfolio today, including NEURD - a tool developed in our lab to help with automated proofreading and analysis of large EM connectomes. Check out the beautiful landing page nature: nature.com/immersive/d428…

MICrONS represents a huge step forward for the field. Big-data and AI will drive the next wave of discoveries in neuroscience.

At enigmaproject.ai, we’re building on these foundations in a new initiative to massively scale functional neural recordings, fusing them with multimodal models, mech interp, automated scientific discovery, & closed loop experiments to decode the neural basis of perception

Join me, Andreas Tolias Lab @ Stanford University, and many of the incredible MICrONS team members in an AI-driven approach to neuroscience discovery. Apply here: lnkd.in/gR8hCYMZ Or email us at [email protected]

MIT Press Natural Neuroscience: Toward a Systems Neuroscience of Natural weizmann.ac.il/brain-sciences…

One of the most impressive things about this dataset is that the neurons are functionally-matched; They optically recorded from neurons before the brain was reconstructed with #EM. This let them build a ‘digital twin’ of the neuron responses to visual stimuli.

This year my lab is hosting undergraduates for the SURFiN program. If you want to come over to York University Centre for Integrative and Applied Neuroscience Centre for Vision Research in Toronto and work on a Simons Foundation Autism Research Initiative funded project on using brain-inspired AI for autism research please apply! simonsfoundation.org/grant/shenoy-u…

Check out this cool short film by Tyler Sloan on the foundation model and digital twin of the MICrONS mouse! 🐭🧠🎬

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.

Deeply grateful to the Simons Foundation for launching SCENE and thrilled to join this 10-year journey into ecological neuroscience—unraveling how sensory and motor systems interact. Excited to collaborate with an incredible team of theorists and experimentalists working across

Curious how foundation models and brain “digital twins” could change the game in diagnosis and treating neurological disease? Check out this discussion between Daniel Yamins and Nicholas Weiler (Wu Tsai Neurosciences Institute).

Check out our new paper! Vision models often struggle with learning both transformation-invariant and -equivariant representations at the same time. Hafez Ghaemi @ ICML 2025 shows that self-supervised prediction with proper inductive biases achieves both simultaneously.

🎉Thrilled that the lab’s first paper is out today in nature! Credit to the amazing Francesca Greenstreet, Hernando Martinez and Yvonne Johansson. Thank you to everyone involved in this massive effort! nature.com/articles/s4158…

Very excited to see this out 🎉 We identified a value-free dopaminergic action prediction error that reinforces stable sound-action associations in the tail of the striatum.

65 years after Lettvin’s bug detector neurons in the frog retina, we revisit how the retina drives behavior—from reflexes to prey capture to brain-state modulation New review with Anna Vlasits & Serena Riccitelli in Annual Review of Vision Science 👇 tinyurl.com/ymp3vs4d

We will likely be looking for someone with expertise with optical methods in vivo, cranial window surgeries in mice, analysis of 2P imaging data (especially ML-based), viral approaches. Nothing posted yet, but I know there are good people looking, so please reach out.

New NanoGPT training speed world record from the Enigma Project 🎉 (Andreas Tolias Lab @ Stanford University, Sophia Sanborn, enigmaproject.ai) We improve the efficiency of gradient all_reduce. Short explainer of our method 👇 [1/6]

🚀 Congrats to Konstantin Willeke and the Enigma Project team enigmaproject.ai for being NanoGPT speed‑run world record-champions for a glorious day 🏆🔥

Now out in NatComms: Mice and monkeys spontaneously shift through comparable cognitive states - and it's written all over their faces! (1/7) nature.com/articles/s4146…

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