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视觉皮层中非感觉神经元在大鼠视觉引导决策中的作用。

Contribution of non-sensory neurons in visual cortical areas to visually guided decisions in the rat.

机构信息

Laboratory of Neural Information, Graduate School of Brain Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan.

Laboratory of Neural Information, Graduate School of Brain Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan.

出版信息

Curr Biol. 2021 Jul 12;31(13):2757-2769.e6. doi: 10.1016/j.cub.2021.03.099. Epub 2021 Apr 22.

DOI:10.1016/j.cub.2021.03.099
PMID:33891892
Abstract

It is widely assumed that trial-by-trial variability in visual detection performance is explained by the fidelity of visual responses in visual cortical areas influenced by fluctuations of internal states, such as vigilance and behavioral history. However, it is not clear which neuronal ensembles represent such different internal states. Here, we utilized a visual detection task, which distinguishes internal states in response to identical stimuli, while recording neurons simultaneously from the primary visual cortex (V1) and the posterior parietal cortex (PPC). We found that rats sometimes withheld their responses to visual stimuli despite the robust presence of visual responses in V1. Our unsupervised analysis revealed distinct population dynamics segregating hit responses from misses, orthogonally embedded to visual response dynamics in both V1 and PPC. Heterogeneous non-sensory neurons in V1 and PPC significantly contributed to population-level encoding accompanied with the modulation of noise correlation only in V1. These results highlight the non-trivial contributions of non-sensory neurons in V1 and PPC for population-level computations that reflect the animals' internal states to drive behavioral responses to visual stimuli.

摘要

人们普遍认为,视觉检测性能的逐次变异性是由内部状态波动(如警觉性和行为历史)影响的视觉皮层区域中视觉反应的保真度来解释的。然而,目前尚不清楚哪些神经元集合代表了这些不同的内部状态。在这里,我们利用视觉检测任务,该任务区分了对相同刺激的内部状态,同时从初级视觉皮层(V1)和顶后皮质(PPC)中同时记录神经元。我们发现,尽管 V1 中存在强烈的视觉反应,但老鼠有时会抑制对视觉刺激的反应。我们的无监督分析揭示了不同的群体动态,将命中反应与错过反应区分开来,与 V1 和 PPC 中的视觉反应动力学正交嵌入。V1 和 PPC 中的异构非感觉神经元显著有助于群体水平的编码,同时仅在 V1 中调节噪声相关性。这些结果突出了 V1 和 PPC 中非感觉神经元对反映动物内部状态以驱动对视觉刺激的行为反应的群体水平计算的重要贡献。

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