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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| Autori principali: | , , , , , , , , , , , , , , , , , , , , , , |
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| Natura: | Article (Journal) |
| Lingua: | inglese |
| Pubblicazione: |
1 April 2026
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| In: |
Neuron
Year: 2026, Volume: 114, Fascicolo: 7, Pages: 1176-1180 |
| ISSN: | 1097-4199 |
| DOI: | 10.1016/j.neuron.2026.01.028 |
| Accesso online: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.neuron.2026.01.028 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S089662732600053X |
| Note sull'autore: | 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 |
| Riassunto: | 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. |
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| Descrizione del documento: | Gesehen am 26.08.2026 |
| Descrizione fisica: | Online Resource |
| ISSN: | 1097-4199 |
| DOI: | 10.1016/j.neuron.2026.01.028 |