Evidence map›Paper›PMID 38381814›Full record

ArticleScience advances2024

Disparate processing of numerosity and associated continuous magnitudes in rats.

Tuo Liang, Rong-Chao Peng, Kang-Lin Rong, Jia-Xin Li, Ya Ke, Wing-Ho Yung

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tuo LiangSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0001-7540-0170
Rong-Chao PengSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-9812-5690
Kang-Lin RongSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Jia-Xin LiSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Ya KeSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0001-8166-6653
Wing-Ho YungSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-5542-8173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The studies of number sense in different species are severely hampered by the inevitable entanglement of non-numerical attributes inherent in nonsymbolic stimuli representing numerosity, resulting in contrasting theories of numerosity processing. Here, we developed an algorithm and associated analytical methods to generate stimuli that not only minimized the impact of non-numerical magnitudes in numerosity perception but also allowed their quantification. We trained number-naïve rats with these stimuli as sound pulses representing two or three numbers and demonstrated that their numerical discrimination ability mainly relied on numerosity. Also, studying the learning process revealed that rats used numerosity before using magnitudes for choices. This numerical processing could be impaired specifically by silencing the posterior parietal cortex. Furthermore, modeling this capacity by neural networks shed light on the separation of numerosity and magnitudes extraction. Our study helps dissect the relationship between magnitude and numerosity processing, and the above different findings together affirm the independent existence of innate number and magnitudes sense in rats.

Indexed as

CognitionMathematical ConceptsAlgorithmsAnimalsLearningNeural Networks, ComputerRats

Identifiers

PMID38381814
PMCPMC10881051

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.