Can generative AI accelerate neuroscience? Excited to share MoGen at ICLR 2026!🧠 We use point cloud flow matching to generate high-fidelity 3D neuron fragments, capturing intricate details like dendritic spines.

👀 For more than 15 years, Janelia researchers have been on a mission to catalogue the neurons of the fly optic lobes & develop genetic tools to study them. This effort has culminated in a complete inventory of all the visual neurons in the fruit fly ➡️ www.nature.com/articles/d41...

Wouldn't it be great if we could not only image large connectomic volumes but also completely reconstruct them? And if a whole mouse brain project didn't cost billions? With the PATHFINDER preprint (www.biorxiv.org/content/10.1...), we preview a future where it doesn't have to.

We'll present our #ICLR2025 spotlight on ZAPBench this afternoon: 📍 Hall 3 #61!

Jan-Matthis Lueckmann@janmatthis.bsky.social · last yr.

⚡️ Excited to introduce ZAPBench, our #ICLR2025 spotlight: The Zebrafish Activity Prediction Benchmark measures progress in predicting neural activity within an entire vertebrate brain (70k+ neurons!) Explore interactive visualizations, datasets, code + paper: google-research.github.io/zapbench 🧠🧪

⚡️ Excited to introduce ZAPBench, our #ICLR2025 spotlight: The Zebrafish Activity Prediction Benchmark measures progress in predicting neural activity within an entire vertebrate brain (70k+ neurons!) Explore interactive visualizations, datasets, code + paper: google-research.github.io/zapbench 🧠🧪

ZAPBench

ZAPBench evaluates how well different models can predict the activity of over 70,000 neurons in a novel larval zebrafish dataset.

google-research.github.io