17 Letzkus, Johannes J Sprekeler, Henning Binder, Harald Bödecker, Joschka Diester, Ilka Elgueta, Claudio Grosser, Sabine Haberl, Matthias Kulik, Akos Larkum, Matthew Leibold, Christian Madry, Christian Monyer, Hannah Poulet, James F A Sauer, Jonas-Frederic Schmoranzer, Jan Schreiber, Susanne Veit, Julia Viana da Silva, Silvia Vlachos, Andreas Vida, Imre Geiger, Jörg R P Bartos, Marlene AG Viana-da-Silva Neuron Neuron Cell Press [Cambridge, Mass.] 0896-6273 10.1016/j.neuron.2026.01.028 English 1176 - 1180 7 114 Inhibitory interneuron diversity is a central feature of cortical circuits. The IN-CODE consortium seeks to combine large-scale recordings of interneuron types with machine-learning tools to identify the role of their physiological features, connectivity motifs, and cooperativity in cognitive functions. PUB:(DE-HGF)16, ; 0, ; Interneurons: physiology GABAergic Neurons: physiology Animals Cerebral Cortex: physiology Cerebral Cortex: cytology Humans Machine Learning Journal Article 2026 DZNE-2026-00365 2026 pmid:41844157 https://pub.dzne.de/record/285919 https://doi.org/10.1016/j.neuron.2026.01.028