A deep learning strategy to identify cell types across species from high-density extracellular recordings

2025/02/28 by Maxime Beau, David J. Herzfeld, Francisco Naveros +22 · 1 voice · 31 citations
Biochemistry, Genetics and Molecular Biology · Neuroscience · #Biology #Cell Image Analysis Techniques #Computational biology #Evolutionary biology #Extracellular #Genetics #Neural dynamics and brain function #Single-cell and spatial transcriptomics

paper · open access · doi:10.1016/j.cell.2025.01.041

published in Cell 188(8), 2218-2234.e22 (Cell Press)

openalex publication_date 2025/02/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Citations

• A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

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Discussions

• I am very proud to announce that my PhD paper finally came out in Cell! In this *very* collaborative study, we develop and release a deep-learning approach to predict neuron type identity from their e [bsky, 150 points, 3 comments]