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Automatic Experimental Numerosity Generation and Numerical Training for Rodents

Tuo Liang, Kang-Lin Rong, Jing-Da Qiao, Ya Ke*, Wing-Ho Yung*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

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. © 2024 Wiley Periodicals LLC.
Original languageEnglish
Article numbere70044
JournalCurrent Protocols
Volume4
Issue number11
Online published12 Nov 2024
DOIs
Publication statusPublished - Nov 2024

Funding

This work was supported by HKRGC-CRF grant C4012-22G and CityUHK grant 9380157.

Research Keywords

  • magnitudes
  • numerosity
  • rodent

RGC Funding Information

  • RGC-funded

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