啮齿动物的自动实验数值生成和数值训练。

Tuo Liang, Kang-Lin Rong, Jing-Da Qiao, Ya Ke, Wing-Ho Yung
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引用次数: 0

摘要

代表数字的非符号刺激总是与连续幅度相关联,这使得数字感知实验研究的解释变得更加复杂。虽然已经提出了各种实验数字生成算法,但这些算法并没有考虑连续幅度值的量化分布以及数字与幅度的关联程度。因此,它们无法彻底排除数字刺激感知中的幅度整合或不同幅度间策略转换的可能性。在此,我们介绍一种考虑到上述问题的数值生成、动物训练和行为结果分析方案。该方案已应用于啮齿动物,也适用于其他动物的数值研究。© 2024 Wiley Periodicals LLC。基本方案 1:生成非符号数字刺激的算法 备用方案:基本方案 2:啮齿动物的数值训练和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Experimental Numerosity Generation and Numerical Training for Rodents

Non-symbolic stimuli representing numerosities are invariably associated with continuous magnitudes, complicating the interpretation of experimental studies on numerosity perception. Although various algorithms for experimental numerosity generation have been proposed, they do not consider the quantifiable distribution of values of continuous magnitudes and the degree of numerosity-magnitudes association. Consequently, they cannot thoroughly exclude the possibility of magnitudes integration or strategy switch between different magnitudes in numerical stimulus perception. Here, we introduce a protocol for numerosity generation, animal training, and behavior outcomes analysis that takes the aforementioned issues into consideration. This protocol has been applied to rodents and is applicable to other animals in numerosity studies. © 2024 Wiley Periodicals LLC.

Basic Protocol 1: Algorithm for generating non-symbolic numerical stimuli

Alternate Protocol: General algorithm for generating non-symbolic numerical stimuli

Basic Protocol 2: Numerical training and testing for rodents

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