Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning
Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning
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DOI：
10.1101/354340
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发表时间：
2018-06
期刊：
影响因子：
16.2
通讯作者：
Farzaneh Najafi;Gamaleldin F. Elsayed;Robin Cao;E. Pnevmatikakis;P. Latham;J. Cunningham;A. Churchland
中科院分区：
文献类型：
--
作者：
Farzaneh Najafi;Gamaleldin F. Elsayed;Robin Cao;E. Pnevmatikakis;P. Latham;J. Cunningham;A. Churchland
抑制性神经元在决策模型中起着关键作用，通常被简化为缺乏连接特异性的非选择性神经元的单个池。这一假设与初级视皮层中的观察结果一致：抑制性神经元在体内被广泛调谐，并且在切片中显示非特异性连接。决策回路中兴奋性和抑制性神经元的选择性尚不清楚。我们同时测量了它们在做出多感官决定的小鼠后顶叶皮层的活动。令人惊讶的是，兴奋性和抑制性神经元对动物的选择具有同等的选择性，无论是在单细胞水平还是群体水平。此外，兴奋性和抑制性人群表现出类似的变化，在从新手到专家决策的过渡过程中的选择性和时间动态，并行的行为改善。这些观察，结合模拟，反对假设非选择性抑制神经元的模型。相反，他们主张由经验塑造的抑制性和兴奋性神经元的选择性子网络来支持专家决策。
Inhibitory neurons play a critical role in decision-making models and are often simplified as a single pool of non-selective neurons lacking connection specificity. This assumption is in keeping with 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 is not known. We simultaneously measured their activity in the posterior parietal cortex of mice making multisensory decisions. Surprisingly, excitatory and inhibitory neurons were equally selective for the animal’s choice, both at the single cell and population level. Further, excitatory and inhibitory populations exhibited similar changes in selectivity and temporal dynamics during the transition from novice to expert decision-making, paralleling behavioral improvements. These observations, combined with simulations, argue against models assuming non-selective inhibitory neurons. Instead, they argue for selective subnetworks of inhibitory and excitatory neurons that are shaped by experience to support expert decisionmaking.