🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Going to SfN this year? Join us for a workshop on how to use our Brainwide Map dataset to test your own hypotheses! For more information and to register, visit internationalbrainlab.org/sfn2023

Come see us at #SfN23 #SfN2023 #SFN sites.google.com/internationalb…

I found the main bug and fixed it (see new releases). This affects versions 2.5 and 3. Thanks to the International Brain Laboratory for finding this problem. Good time to upgrade to Kilosort4 :) ? The #pytorch implementation should be immune from such issues. #kilosort github.com/MouseLand/Kilo…

Come work with us!

Lightning Pose is an efficient pose estimation approach that requires few labeled training data owing to its semi-supervised learning strategy and ensembling. Dan Biderman Columbia NeuroTheory Columbia University's Zuckerman Institute International Brain Laboratory Columbia University nature.com/articles/s4159…

Scientists need engineers. How can we foster career growth and retention of these highly skilled staff? Read our opinion piece here: thetransmitter.org/craft-and-care…

Neural activity is correlated among animals performing the same task and across sequential trials. Led by Yizi Zhang and @hl3616, we develop an reduced-rank model that exploits shared structure across animals to improve neural decoding. biorxiv.org/content/10.110…

Register for this course to learn more about Neuropixels and a chance to dig into the brainwide map data set!

Now officially accepted as a poster at NeurIPS 2024!

Come work with us! IBL is looking for a research software engineer to join our team! Learn more and apply here: drive.google.com/file/d/11jgmO0…

Check out our new tutorial series to learn how to use the Lightning Pose app, on a local workstation or in the cloud. We start from the basics and work up to advanced topics like deep ensembling and active learning: shorturl.at/jbxhd

Another step toward a foundation model of the mouse brain: "Neural Encoding and Decoding at Scale (NEDS)" Trained on neural and behavioral data from 70+ mice, NEDS achieves state-of-the-art prediction of behavior (decoding) and neural responses (encoding) on held-out animals.

Thrilled to share our state-of-the-art method for in vivo cell-type classification and brain region localization, NEMO, which is now now a spotlight at #ICLR2025! We use NEMO to characterize the electrophysiological diversity of cell-types across the entire mouse brain. 🐭 🧠