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• W4366279872 abstract "The brain consists of many cell classes yet in vivo electrophysiology recordings are typically unable to identify and monitor their activity in the behaving animal. Here, we employed a systematic approach to link cellular, multi-modal in vitro properties from experiments with in vivo recorded units via computational modeling and optotagging experiments. We found two one-channel and six multi-channel clusters in mouse visual cortex with distinct in vivo properties in terms of activity, cortical depth, and behavior. We used biophysical models to map the two one- and the six multi-channel clusters to specific in vitro classes with unique morphology, excitability and conductance properties that explain their distinct extracellular signatures and functional characteristics. These concepts were tested in ground-truth optotagging experiments with two inhibitory classes unveiling distinct in vivo properties. This multi-modal approach presents a powerful way to separate in vivo clusters and infer their cellular properties from first principles." @default.
• W4366279872 created "2023-04-20" @default.
• W4366279872 creator A5008335923 @default.
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• W4366279872 creator A5083458987 @default.
• W4366279872 date "2023-04-18" @default.
• W4366279872 modified "2023-10-01" @default.
• W4366279872 title "Associations between<i>in vitro</i>,<i>in vivo</i>and<i>in silico</i>cell classes in mouse primary visual cortex" @default.
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