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Regarding Compass Response Functions For Modeling Path Integration: Comment on 'Evolving a Neural Model of Insect Path Integration'

机译:关于用于路径整合建模的指南针响应函数:评述“进化昆虫路径整合神经模型”

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摘要

Recently, Haferlach, Wessnitzer, Mangan, and Webb (2007) reported on the production of a novel neural model of the animal behavior known as path integration, a navigation process requiring a compass and an odometer. Here, we comment on comparisons that their paper makes with our earlier work (Vickerstaff & Di Paolo, 2005) where we also evolved a neural model of path integration. The authors make prominent mention of the similarity of their compass sensors to the known properties of the polarization-sensitive (POL) neurons found in insects. They give the impression that their compass response function, expressed as a dot-product equation (Haferlach et al., 2007, p. 274, equation 1; see below), has a closer similarity to POL neurons than does the cosine function we employed for our earlier model. In fact, this is not the case.
机译:最近,Haferlach,Wessnitzer,Mangan和Webb(2007)报道了一种关于动物行为的新型神经模型的生产,即路径整合,需要指南针和里程表的导航过程。在这里,我们评论了他们的论文与我们之前的工作(Vickerstaff&Di Paolo,2005)所做的比较,在这些工作中我们还发展了路径整合的神经模型。作者特别提到了它们的罗盘传感器与昆虫中发现的极化敏感(POL)神经元的已知特性的相似性。他们给人的印象是,罗盘响应函数以点积方程式表示(Haferlach等人,2007年,第274页,方程式1;请参见下文),与我们使用的余弦函数相比,与POL神经元的相似度更高。对于我们的早期模型。实际上,事实并非如此。

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