Neural Computation Lab

Our “Neuro-AI” paper has just been published in Cell. It describes a new deep learning-based classifier for identifying different cell types in Neuropixels recordings: doi.org/10.1016/j.cell…

If you’re at Cosyne, catch @maxime_beau at the workshop on “Bridging the gap between cell types and spike trains"! Monday 16th March:   celltypestospikesworkshop.github.io/2026/

The culmination of 8 years of teamwork: the IBL brain-wide map and prior papers have been published in @Nature today! We are so happy to be part of this great collaboration 🎉🎉🎉 doi.org/10.1038/s41586… doi.org/10.1038/s41586…

Open-access link: urldefense.proofpoint.com/v2/url?u=https…

This is real team science: 5 labs expert in recordings from mouse and monkey cerebellum joined forces to make the project happen. Thanks to a great team, led by @1DanaCohen1, @Steve_Lisberger, @dkneurolab , @theHullLab, @Neuralcomplab, and Javier Medina.

Our “Neuro-AI” paper has just been published in Cell. It describes a new deep learning-based classifier for identifying different cell types in Neuropixels recordings: doi.org/10.1016/j.cell…

Congratulations to the team! @omgauld, @paqio, @llerussell, @hwpdalgleish, Maya Iuga, @Fran_Sacadura, @ArndRoth & @BeverleyAClark

This result suggests that non-coding neurons can still convey important information, which may have significance for builders of brain-machine interfaces as it widens the pool of neurons available to enhance behavioral performance.

Most neurons in the cortex remain silent, even during sensory stimulation and behavior. What are these silent neurons good for? This is known as the “dark matter problem” of the brain. We address this problem in our @NeuroCellPress study led by @omgauld doi.org/10.1016/j.neur…