%0 Journal Article
%A Letzkus, Johannes J
%A Sprekeler, Henning
%A Binder, Harald
%A Bödecker, Joschka
%A Diester, Ilka
%A Elgueta, Claudio
%A Grosser, Sabine
%A Haberl, Matthias
%A Kulik, Akos
%A Larkum, Matthew
%A Leibold, Christian
%A Madry, Christian
%A Monyer, Hannah
%A Poulet, James F A
%A Sauer, Jonas-Frederic
%A Schmoranzer, Jan
%A Schreiber, Susanne
%A Veit, Julia
%A Viana da Silva, Silvia
%A Vlachos, Andreas
%A Vida, Imre
%A Geiger, Jörg R P
%A Bartos, Marlene
%T A population approach to cortical GABAergic interneuron function.
%J Neuron
%V 114
%N 7
%@ 0896-6273
%C [Cambridge, Mass.]
%I Cell Press
%M DZNE-2026-00365
%P 1176 - 1180
%D 2026
%X 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.
%K Interneurons: physiology
%K GABAergic Neurons: physiology
%K Animals
%K Cerebral Cortex: physiology
%K Cerebral Cortex: cytology
%K Humans
%K Machine Learning
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:41844157
%R 10.1016/j.neuron.2026.01.028
%U https://pub.dzne.de/record/285919