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Putting Egocentric and Allocentric into Perspective

机译:将Egocentric和Allocentric置于透视图

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In the last decade many studies examined egocentric and allocentric spatial relations. For various tasks, navigators profit from both kinds of relations. However, their interrelation seems to be underspecified. We present four elementary representations of allocentric and egocentric relations (sensorimotor contingencies, egocentric coordinate systems, allocentric coordinate systems, and perspective-free representations) and discuss them with respect to their encoding and retrieval. Elementary representations are problematic for capturing large spaces and situations which encompass both allocentric and egocentric relations at the same time. Complex spatial representations provide a solution to this problem. They combine elementary coordinate representations either by pair-wise connections or by hierarchical embedding. We discuss complex spatial representations with respect to computational requirements and their plausibility regarding behavioral and neural findings. This work is meant to clarify concepts of egocentric and allocentric, to show their limitations, benefits and empirical plausibility and to point out new directions for future research.
机译:在过去的十年中,许多研究检查了Egentric和Allocentric空间关系。对于各种任务,导航员从两种关系中获利。然而,他们的相互关系似乎是缺乏指定的。我们介绍了四个外常度和自主化关系(SensorImotor常规,Enocentric坐标系,分类坐标系和透视表示)的四个基本表示,并讨论它们的编码和检索。基本表示对于捕获同一时间的大空格和情况,捕获大型空间和情况。复杂的空间表示为此问题提供了解决方案。它们通过配对连接或通过分层嵌入来组合基本坐标表示。我们讨论了有关行为和神经调查结果的计算要求及其合理性的复杂空间陈述。这项工作旨在阐明自我社会和外常度的概念,以展示他们的局限,福利和经验合理性,并指出未来研究的新方向。

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