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Digital Arithmetic in Nature: Continuous-Digit RNS

机译:本质上的数字算术:连续数字RNS

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摘要

It has been reported in the literature on computational neuroscience that a rat's uncanny ability to dash back to a home position in the absence of any visual clues (or in total darkness, for that matter) may stem from its distinctive method of position representation. More specifically, it is hypothesized that the rat uses a multimodular method akin to residue number system (RNS), but with continuous residues or digits, to encode position information. After a brief review of the evidence in support of this hypothesis, and how it relates to RNS, we discuss the properties of continuous-digit RNS, and derive results on the dynamic range, representational accuracy and factors affecting the choice of the moduli, which are themselves real numbers. We conclude with suggestions for further research on important open problems concerning the process of selection, or evolutionary refinement, of the set of moduli in such a representation.
机译:关于计算神经科学的文献报道,在没有任何视觉线索(或完全黑暗的情况下)的情况下,大鼠突然跳回原位的不可思议的能力可能源于其独特的位置表示方法。更具体地说,假设大鼠使用类似于残基编号系统(RNS)的多模方法,但具有连续的残基或数字,以编码位置信息。在简要回顾了支持该假设的证据及其与RNS的关系之后,我们讨论了连续数字RNS的性质,并得出了动态范围,表示精度和影响模数选择的因素的结果,本身就是实数。最后,我们提出了一些建议,以进一步研究与此类表示形式中的模数集的选择或演化改进有关的重要开放问题。

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