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首页> 外文期刊>Journal of Neurophysiology >Self-motion processing in visual and entorhinal cortices: inputs, integration, and implications for position coding
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Self-motion processing in visual and entorhinal cortices: inputs, integration, and implications for position coding

机译：视觉和entorlinal皮质中的自动运动处理：位置编码的输入，集成和含义

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The sensory signals generated by self-motion are complex and multimodal, but the ability to integrate these signals into a unified self-motion percept to guide navigation is essential for animal survival. Here, we summarize classic and recent work on self-motion coding in the visual and entorhinal cortices of the rodent brain. We compare motion processing in rodent and primate visual cortices, highlighting the strengths of classic primate work in establishing causal links between neural activity and perception, and discuss the integration of motor and visual signals in rodent visual cortex. We then turn to the medial entorhinal cortex (MEC), where calculations using self-motion to update position estimates are thought to occur. We focus on several key sources of self-motion information to MEC: the medial septum, which provides locomotor speed information; visual cortex, whose input has been increasingly recognized as essential to both position and speed-tuned MEC cells; and the head direction system, which is a major source of directional information for self-motion estimates. These inputs create a large and diverse group of self-motion codes in MEC, and great interest remains in how these self-motion codes might be integrated by MEC grid cells to estimate position. However, which signals are used in these calculations and the mechanisms by which they are integrated remain controversial. We end by proposing future experiments that could further our understanding of the interactions between MEC cells that code for self-motion and position and clarify the relationship between the activity of these cells and spatial perception.
机译：由自动运动产生的感觉信号是复杂的和多模式，但能够将这些信号集成为统一的自动运动感知，以引导导航对于动物生存至关重要。在这里，我们总结了在啮齿动物大脑的视觉和敌意皮质中的自动运动编码的经典和最近的工作。我们比较啮齿动物和灵长类动物视觉皮质的运动处理，突出了经典灵长类会工作的优势在建立神经活动和感知之间的因果关系，并探讨了啮齿动物视觉皮质中电动机和视觉信号的集成。然后，我们转向内侧inororhinal Cortex（MEC），其中认为发生使用自动运动来更新位置估计的计算。我们专注于MEC：内侧隔膜的几个自动运动信息来源：提供机器人速度信息; Visual Cortex，其输入越来越被识别到位置和速度调谐的MEC细胞至关重要;和头部方向系统，这是自动运动估计的定向信息的主要来源。这些输入在MEC中创建了一个大型多样化的自动运动代码，并且在MEC网格单元可以集成了这些自动码如何估计位置的自我运动代码。然而，在这些计算中使用哪种信号以及它们集成的机制保持争议。我们通过提出未来的实验，进一步了解我们对MEC细胞之间的相互作用的实验，该细胞代码为自我运动和定位和阐明这些细胞的活动与空间感知之间的关系。

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