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在虚拟导航决策任务期间,在状皮层中选择特定的序列.

Christopher D Harvey1, Philip Coen, David W Tank

  • 1Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08544, USA. christopher_harvey@hms.harvard.edu

Nature
|March 16, 2012
PubMed
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此摘要是机器生成的。

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后壁状皮质 (PPC) 使用顺序的神经激活模式来执行认知任务. 这些动态序列,而不是稳定的状态,使大脑中的选择特定计算成为可能.

科学领域:

  • 神经科学是一个神经科学.
  • 认知神经科学 认知神经科学
  • 系统神经科学 系统神经科学

背景情况:

  • 后壁皮质 (PPC) 对于各种认知行为至关重要.
  • 了解控制PPC功能的神经电路动态仍然是一个挑战.

研究的目的:

  • 在复杂的认知任务期间调查PPC中神经元群体的空间和时间活动模式.
  • 阐明PPC中的决策和导航背后的电路动态.

主要方法:

  • 在小鼠执行涉及感知决策和记忆引导导航的任务时,对神经元群体的光学成像.
  • 对个体神经元和神经元群体的空间和时间激活模式的分析.

主要成果:

  • 神经元表现出短暂的,时间分阶段的激活,形成跨任务试验的顺序模式.
  • 观察到不同的神经元序列对抗行为选择,创造选择特定的人口活动轨迹.
  • 这些功能上不同的神经元序列是由解剖学上交织在一起的微电路实现的.

结论:

  • PPC可以利用基于序列的电路动力学来进行认知计算,特别是在工作记忆和决策任务中.
  • 这些发现表明,动态的,连续的活动,而不是稳定的状态,是PPC功能的基础.

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  • 解剖学上混合的微电路支持这些复杂的,时间变化的计算.