Abstract：
: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 the primary visual cortex: inhibitory neurons are broadly tuned in vivo and show non-specific connectivity in slice. The selectivity of excitatory and inhibitory neurons within decision circuits and, hence, the validity of decision-making models are unknown. We simultaneously measured excitatory and inhibitory neurons in the 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.
journal_name
Neuronjournal_title
Neuronauthors
Najafi F,Elsayed GF,Cao R,Pnevmatikakis E,Latham PE,Cunningham JP,Churchland AKdoi
10.1016/j.neuron.2019.09.045subject
Has Abstractpub_date
2020-01-08 00:00:00pages
165-179.e8issue
1eissn
0896-6273issn
1097-4199pii
S0896-6273(19)30848-7journal_volume
105pub_type
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