TY  - JOUR
AU  - Letzkus, Johannes J
AU  - Sprekeler, Henning
AU  - Binder, Harald
AU  - Bödecker, Joschka
AU  - Diester, Ilka
AU  - Elgueta, Claudio
AU  - Grosser, Sabine
AU  - Haberl, Matthias
AU  - Kulik, Akos
AU  - Larkum, Matthew
AU  - Leibold, Christian
AU  - Madry, Christian
AU  - Monyer, Hannah
AU  - Poulet, James F A
AU  - Sauer, Jonas-Frederic
AU  - Schmoranzer, Jan
AU  - Schreiber, Susanne
AU  - Veit, Julia
AU  - Viana da Silva, Silvia
AU  - Vlachos, Andreas
AU  - Vida, Imre
AU  - Geiger, Jörg R P
AU  - Bartos, Marlene
TI  - A population approach to cortical GABAergic interneuron function.
JO  - Neuron
VL  - 114
IS  - 7
SN  - 0896-6273
CY  - [Cambridge, Mass.]
PB  - Cell Press
M1  - DZNE-2026-00365
SP  - 1176 - 1180
PY  - 2026
AB  - 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.
KW  - Interneurons: physiology
KW  - GABAergic Neurons: physiology
KW  - Animals
KW  - Cerebral Cortex: physiology
KW  - Cerebral Cortex: cytology
KW  - Humans
KW  - Machine Learning
LB  - PUB:(DE-HGF)16
C6  - pmid:41844157
DO  - DOI:10.1016/j.neuron.2026.01.028
UR  - https://pub.dzne.de/record/285919
ER  -