Journal Article

DZNE-2026-00365

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A population approach to cortical GABAergic interneuron function.

Letzkus, J. J. ; Sprekeler, H. ; Binder, H. ; Bödecker, J. ; Diester, I. ; Elgueta, C. ; Grosser, S. ; Haberl, M. ; Kulik, A. ; Larkum, M. ; Leibold, C. ; Madry, C. ; Monyer, H. ; Poulet, J. F. A. ; Sauer, J.-F. ; Schmoranzer, J. ; Schreiber, S. ; Veit, J. ; Viana da Silva, S.DZNE* ; Vlachos, A. ; Vida, I. ; Geiger, J. R. P. ; Bartos, M.

2026
Cell Press [Cambridge, Mass.]

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Please use a persistent id in citations: doi:10.1016/j.neuron.2026.01.028

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.

Keyword(s): Interneurons: physiology (MeSH) ; GABAergic Neurons: physiology (MeSH) ; Animals (MeSH) ; Cerebral Cortex: physiology (MeSH) ; Cerebral Cortex: cytology (MeSH) ; Humans (MeSH) ; Machine Learning (MeSH)

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Contributing Institute(s):

1. Cellular Circuits of Memory (AG Viana-da-Silva)

Research Program(s):

1. 351 - Brain Function (POF4-351) (POF4-351)

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 15 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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