A population approach to cortical GABAergic interneuron function

Tools

Item Type:	Article
Title:	A population approach to cortical GABAergic interneuron function
Creators:	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. ORCID: https://orcid.org/0000-0003-0296-5415, Sauer, Jonas-Frederic, Schmoranzer, Jan, Schreiber, Susanne, Veit, Julia, Viana da Silva, Silvia, Vlachos, Andreas, Vida, Imre, Geiger, Jörg R.P. and Bartos, Marlene
Abstract:	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.
Keywords:	Cerebral Cortex, GABAergic Neurons, Interneurons, Machine Learning, Animals
Source:	Neuron
ISSN:	0896-6273
Publisher:	Cell Press
Volume:	114
Number:	7
Page Range:	1176-1180
Date:	1 April 2026
Official Publication:	https://doi.org/10.1016/j.neuron.2026.01.028
PubMed:	View item in PubMed

Repository Staff Only: item control page