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果蝇的数字辨别能力。

Numerical discrimination in Drosophila melanogaster.

机构信息

Institut du Cerveau-Paris Brain Institute (ICM), Sorbonne Université, Inserm, CNRS, Hôpital Pitié-Salpêtrière, Paris, France.

Université de Paris, CNRS, Integrative Neuroscience and Cognition Center, 75006 Paris, France.

出版信息

Cell Rep. 2023 Jul 25;42(7):112772. doi: 10.1016/j.celrep.2023.112772. Epub 2023 Jul 14.

Abstract

Sensitivity to numbers is a crucial cognitive ability. The lack of experimental models amenable to systematic genetic and neural manipulation has precluded discovering neural circuits required for numerical cognition. Here, we demonstrate that Drosophila flies spontaneously prefer sets containing larger numbers of objects. This preference is determined by the ratio between the two numerical quantities tested, a characteristic signature of numerical cognition across species. Individual flies maintained their numerical choice over consecutive days. Using a numerical visual conditioning paradigm, we found that flies are capable of associating sucrose with numerical quantities and can be trained to reverse their spontaneous preference for large quantities. Finally, we show that silencing lobula columnar neurons (LC11) reduces the preference for more objects, thus identifying a neuronal substrate for numerical cognition in invertebrates. This discovery paves the way for the systematic analysis of the behavioral and neural mechanisms underlying the evolutionary conserved sensitivity to numerosity.

摘要

对数字的敏感是一种至关重要的认知能力。缺乏适合系统的遗传和神经操作的实验模型,使得发现数字认知所需的神经回路成为不可能。在这里,我们证明了果蝇会自发地偏爱包含更多物体的集合。这种偏好是由所测试的两个数值量之间的比率决定的,这是跨物种数字认知的特征标志。个体果蝇在连续几天内保持其数值选择。使用数字视觉条件反射范式,我们发现果蝇能够将蔗糖与数值量相关联,并可以训练它们改变对大量物体的自发偏好。最后,我们表明沉默 LC11 神经元会降低对更多物体的偏好,从而确定了无脊椎动物中数字认知的神经基础。这一发现为系统分析进化保守的数量敏感性的行为和神经机制铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/940a/10442639/8ad26f4fd23c/nihms-1920503-f0002.jpg

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