Visually-evoked choice behavior driven by distinct population computations with non-sensory neurons in visual cortical areas
Visually-evoked choice behavior driven by distinct population computations with non-sensory neurons in visual cortical areas
复制标题
由视觉皮层区域非感觉神经元的不同群体计算驱动的视觉诱发选择行为
DOI：
10.1101/2020.06.15.151811
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Hirokawa Junya
中科院分区：
文献类型：
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作者：
Osako Yuma;Ohnuki Tomoya;Tanisumi Yuta;Shiotani Kazuki;Manabe Hiroyuki;Sakurai Yoshio;Hirokawa Junya
在视觉检测任务中，受试者有时对相同的视觉刺激没有反应，即使这些刺激记录在他们的视网膜上。人们普遍认为，检测性能的变异性归因于视觉皮层区域视觉反应的保真度，这可能会受到主观内部状态的波动的调节，如警觉、注意和奖励体验。然而，目前还不清楚是什么神经集合代表了这种不同的内部状态。在这里，我们使用了一种行为任务，将不同的感知状态与相同的刺激区分开来，并分析了在任务过程中从初级视觉皮质(V1)和后顶叶皮质(PPC)同时记录的神经元反应。我们发现，群体活动在不同的选择类型中有所不同，V1和PPC中的主要贡献是非感觉神经元，而不是视觉反应神经元。V1的明显群体水平活动，而不是PPC，被限制在刺激呈现时期，这与刺激前的背景活动不同，并得到了近零噪声相关性的支持。这些结果表明，V1中的非感觉神经元对群体水平的计算做出了主要贡献，使人能够从视觉信息中做出行为反应。
During visual detection tasks, subjects sometimes fail to respond to identical visual stimuli even when the stimuli are registered on their retinas. It is widely assumed that variability in detection performance is attributed to the fidelity of the visual responses in visual cortical areas, which could be modulated by fluctuations of subjective internal states such as vigilance, attention, and reward experiences. However, it is not clear what neural ensembles represent such different internal states. Here, we utilized a behavioral task that differentiated distinct perceptual states to identical stimuli, and analyzed neuronal responses simultaneously recorded from both primary visual cortex (V1) and posterior parietal cortex (PPC) during the task. We found that population activity differed across choice types with the major contribution of non-sensory neurons, rather than visually-responsive neurons, in V1 as well as PPC. The distinct population-level activity in V1, but not PPC, was restricted within the stimulus presentation epoch, which was distinguished from pre-stimulus background activity and was supported by near-zero noise correlation. These results indicate a major contribution of non-sensory neurons in V1 for population-level computation that_enables behavioral responses from visual information.