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- W3103040028 abstract "Summary Inhibitory neurons, which play a critical role in decision-making models, are often simplified as a single pool of non-selective neurons lacking connection specificity. This assumption is supported by observations in primary visual cortex: inhibitory neurons are broadly tuned in vivo, and show non-specific connectivity in slice. Selectivity of excitatory and inhibitory neurons within decision circuits, and hence the validity of decision-making models, is unknown. We simultaneously measured excitatory and inhibitory neurons in posterior parietal cortex of mice judging multisensory stimuli. Surprisingly, excitatory and inhibitory neurons were equally selective for the animal’s choice, both at the single cell and population level. Further, both cell types exhibited similar changes in selectivity and temporal dynamics during learning, paralleling behavioral improvements. These observations, combined with modeling, argue against circuit architectures assuming non-selective inhibitory neurons. Instead, they argue for selective subnetworks of inhibitory and excitatory neurons that are shaped by experience to support expert decision-making." @default.
- W3103040028 created "2020-11-23" @default.
- W3103040028 creator A5008438388 @default.
- W3103040028 creator A5023834810 @default.
- W3103040028 creator A5025338734 @default.
- W3103040028 creator A5030697996 @default.
- W3103040028 creator A5043002930 @default.
- W3103040028 creator A5054955073 @default.
- W3103040028 creator A5056549033 @default.
- W3103040028 date "2018-06-22" @default.
- W3103040028 modified "2023-10-16" @default.
- W3103040028 title "Excitatory and inhibitory subnetworks are equally selective during decision-making and emerge simultaneously during learning" @default.
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