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Volume 640 Issue 8058, 10 April 2025
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Volume 640 Issue 8058, 10 April 2025

Cortex in context

Understanding how the brain works means understanding the function of neurons and the synaptic architecture in which they sit. That goal edges closer with seven papers in this week’s issue from the MICrONS (Machine Intelligence from Cortical Networks) consortium. Together these papers present not only a map of 523 million synapses between 200,000 cells in the visual cortex of a mouse, but also functional imaging of around 75,000 of those neurons captured while the mouse viewed a range of visual stimuli. In the flagship paper, the teams of Sebastian Seung, Clay Reid, Andreas Tolias, Xaq Pitkow, Jacob Reimer, Forrest Collman and Nuno Maçarico da Costa introduce the data set (pictured on the cover). Nuno Maçarico da Costa and colleagues then probe the connectivity of neurons to produce a wiring diagram in a cortical column in the visual cortex. Two papers from Andreas Tolias and co-workers produce general wiring rules based on neuronal function and develop a digital model to test theories and generate an algorithm that can predict the brain’s responses to new stimuli. Forrest Collman and colleagues look at how to classify different neuronal types based on structure, and Staci Sorensen and co-workers examine connectivity patterns of neurons matched to their gene-expression data. Finally, a paper from Jacob Reimer and colleagues describes a new tool for analysis and automated proofreading of large electron microscopy reconstructions.

Cover image: Forrest Collman

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