engLetzkus, Johannes JSprekeler, HenningLeibold, ChristianMadry, ChristianMonyer, HannahPoulet, James F ASauer, Jonas-FredericSchmoranzer, JanSchreiber, SusanneVeit, JuliaViana da Silva, SilviaVlachos, AndreasBinder, HaraldVida, ImreGeiger, Jörg R PBartos, MarleneBödecker, JoschkaDiester, IlkaElgueta, ClaudioGrosser, SabineHaberl, MatthiasKulik, AkosLarkum, MatthewA population approach to cortical GABAergic interneuron function.info:eu-repo/classification/ddc/610Interneurons: physiologyGABAergic Neurons: physiologyAnimalsCerebral Cortex: physiologyCerebral Cortex: cytologyHumansMachine LearningInhibitory 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.Neuron 114(7), 1176 - 1180 (2026). doi:10.1016/j.neuron.2026.01.028info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionCell Press2026info:eu-repo/semantics/closedAccessDEhttps://pub.dzne.de/record/285919https://pub.dzne.de/search?p=id:%22DZNE-2026-00365%22Researchersinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuron.2026.01.028info:eu-repo/semantics/altIdentifier/issn/1097-4199info:eu-repo/semantics/altIdentifier/issn/0896-6273info:eu-repo/semantics/altIdentifier/pmid/pmid:41844157