A population approach to cortical GABAergic interneuron function

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 functi...

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Autores principales: Letzkus, Johannes (Autor) , Sprekeler, Henning (Autor) , Binder, Harald (Autor) , Bödecker, Joschka (Autor) , Diester, Ilka (Autor) , Elgueta, Claudio (Autor) , Grosser, Sabine (Autor) , Haberl, Matthias (Autor) , Kulik, Akos (Autor) , Larkum, Matthew (Autor) , Leibold, Christian (Autor) , Madry, Christian (Autor) , Monyer, Hannah (Autor) , Poulet, James F. A. (Autor) , Sauer, Jonas-Frederic (Autor) , Schmoranzer, Jan (Autor) , Schreiber, Susanne (Autor) , Veit, Julia (Autor) , Viana da Silva, Silvia (Autor) , Vlachos, Andreas (Autor) , Vida, Imre (Autor) , Geiger, Jörg R. P. (Autor) , Bartos, Marlene (Autor)
Formato: Article (Journal)
Lenguaje:inglés
Publicado: 1 April 2026
In: Neuron
Year: 2026, Volumen: 114, Número: 7, Pages: 1176-1180
ISSN:1097-4199
DOI:10.1016/j.neuron.2026.01.028
Acceso en línea:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.neuron.2026.01.028
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S089662732600053X
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Notas de Autor:Johannes J. Letzkus, Henning Sprekeler, Harald Binder, Joschka Bödecker, Ilka Diester, Claudio Elgueta, Sabine Grosser, Matthias Haberl, Akos Kulik, Matthew Larkum, Christian Leibold, Christian Madry, Hannah Monyer, James F. A. Poulet, Jonas-Frederic Sauer, Jan Schmoranzer, Susanne Schreiber, Julia Veit, Silvia Viana da Silva, Andreas Vlachos, Imre Vida, Jörg R. P. Geiger, and Marlene Bartos
Descripción
Sumario: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.
Notas:Gesehen am 26.08.2026
Descripción Física:Online Resource
ISSN:1097-4199
DOI:10.1016/j.neuron.2026.01.028