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Neural reactivations during sleep determine network credit assignment.
Nature Neuroscience ( IF 25.0 ) Pub Date : 2017-Sep-01 , DOI: 10.1038/nn.4601
Tanuj Gulati , Ling Guo , Dhakshin S Ramanathan , Anitha Bodepudi , Karunesh Ganguly

A fundamental goal of motor learning is to establish the neural patterns that produce a desired behavioral outcome. It remains unclear how and when the nervous system solves this 'credit assignment' problem. Using neuroprosthetic learning, in which we could control the causal relationship between neurons and behavior, we found that sleep-dependent processing was required for credit assignment and the establishment of task-related functional connectivity reflecting the casual neuron-behavior relationship. Notably, we observed a strong link between the microstructure of sleep reactivations and credit assignment, with downscaling of non-causal activity. Decoupling of spiking to slow oscillations using optogenetic methods eliminated rescaling. Thus, our results suggest that coordinated firing during sleep is essential for establishing sparse activation patterns that reflect the causal neuron-behavior relationship.

中文翻译:

睡眠期间的神经激活决定了网络信用分配。

运动学习的基本目标是建立产生所需行为结果的神经模式。目前尚不清楚神经系统如何以及何时解决这一“学分分配”问题。通过使用神经修复学习,我们可以控制神经元与行为之间的因果关系,我们发现,依赖于睡眠的处理是进行学分分配和建立与任务相关的功能连通性所必需的,反映了偶然的神经元-行为关系。值得注意的是,我们观察到睡眠重新激活的微观结构与信用分配之间的紧密联系,以及非因果关系活动的缩减。使用光遗传学方法将尖峰解耦至慢速振荡消除了重新缩放。因此,
更新日期:2017-08-20
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