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利用光流控制和重新校准位置细胞中的路径整合。

Control and recalibration of path integration in place cells using optic flow.

机构信息

Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA.

Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Nat Neurosci. 2024 Aug;27(8):1599-1608. doi: 10.1038/s41593-024-01681-9. Epub 2024 Jun 27.

Abstract

Hippocampal place cells are influenced by both self-motion (idiothetic) signals and external sensory landmarks as an animal navigates its environment. To continuously update a position signal on an internal 'cognitive map', the hippocampal system integrates self-motion signals over time, a process that relies on a finely calibrated path integration gain that relates movement in physical space to movement on the cognitive map. It is unclear whether idiothetic cues alone, such as optic flow, exert sufficient influence on the cognitive map to enable recalibration of path integration, or if polarizing position information provided by landmarks is essential for this recalibration. Here, we demonstrate both recalibration of path integration gain and systematic control of place fields by pure optic flow information in freely moving rats. These findings demonstrate that the brain continuously rebalances the influence of conflicting idiothetic cues to fine-tune the neural dynamics of path integration, and that this recalibration process does not require a top-down, unambiguous position signal from landmarks.

摘要

海马体位置细胞受到自身运动(自我运动)信号和外部感觉地标影响,因为动物在其环境中导航。为了在内部“认知地图”上持续更新位置信号,海马体系统随时间整合自我运动信号,这个过程依赖于精细校准的路径积分增益,它将物理空间中的运动与认知地图上的运动联系起来。目前尚不清楚仅仅是自我运动线索,如光流,是否对认知地图产生足够的影响,以实现路径积分的重新校准,或者地标提供的极化位置信息对于这种重新校准是否至关重要。在这里,我们在自由移动的大鼠中证明了路径积分增益的重新校准和对位置场的系统控制都是由纯光流信息引起的。这些发现表明,大脑不断地重新平衡相互冲突的自我运动线索的影响,以微调路径积分的神经动力学,并且这种重新校准过程不需要来自地标的确切的自上而下的位置信号。

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