New paper in Cell: A deep learning strategy to identify cell types across species

New publication from our group out in Cell.

Our latest work presents a deep learning strategy to identify cell types across species from high-density extracellular recordings. This study advances our understanding of neural circuit organisation and offers a powerful computational tool for neuroscientists working with large-scale electrophysiology data.

You can find the full paper in our publications section. Congratulations to all involved!