Evidence map›Paper›PMID 35674910›Full record

ArticleAnimal cognition2022

Multisensory mental representation of objects in typical and Gifted Word Learner dogs.

Shany Dror, Andrea Sommese, Ádám Miklósi, Andrea Temesi, Claudia Fugazza

Abstract read
In one paragraph

Article in Animal cognition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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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

5 authors.

Shany Dror *Department of Ethology, Eötvös Loránd University, Pázmány P. s 1c, 6th Floor, 1117, Budapest, Hungary. shanymd@gmail.com.ORCID http://orcid.org/0000-0003-4039-6217
Andrea Sommese *Department of Ethology, Eötvös Loránd University, Pázmány P. s 1c, 6th Floor, 1117, Budapest, Hungary. sommese.andrea@gmail.com.ORCID http://orcid.org/0000-0001-8859-5018
Ádám MiklósiDepartment of Ethology, Eötvös Loránd University, Pázmány P. s 1c, 6th Floor, 1117, Budapest, Hungary.
Andrea TemesiDepartment of Ethology, Eötvös Loránd University, Pázmány P. s 1c, 6th Floor, 1117, Budapest, Hungary.
Claudia FugazzaDepartment of Ethology, Eötvös Loránd University, Pázmány P. s 1c, 6th Floor, 1117, Budapest, Hungary.

Funding

National Brain Research Program 2017-1.2.1-NKP-2017-00002
6 · The paper itself

Abstract

Little research has been conducted on dogs' (Canis familiaris) ability to integrate information obtained through different sensory modalities during object discrimination and recognition tasks. Such a process would indicate the formation of multisensory mental representations. In Experiment 1, we tested the ability of 3 Gifted Word Learner (GWL) dogs that can rapidly learn the verbal labels of toys, and 10 Typical (T) dogs to discriminate an object recently associated with a reward, from distractor objects, under light and dark conditions. While the success rate did not differ between the two groups and conditions, a detailed behavioral analysis showed that all dogs searched for longer and sniffed more in the dark. This suggests that, when possible, dogs relied mostly on vision, and switched to using only other sensory modalities, including olfaction, when searching in the dark. In Experiment 2, we investigated whether, for the GWL dogs (N = 4), hearing the object verbal labels activates a memory of a multisensory mental representation. We did so by testing their ability to recognize objects based on their names under dark and light conditions. Their success rate did not differ between the two conditions, whereas the dogs' search behavior did, indicating a flexible use of different sensory modalities. Little is known about the cognitive mechanisms involved in the ability of GWL dogs to recognize labeled objects. These findings supply the first evidence that for GWL dogs, verbal labels evoke a multisensory mental representation of the objects.

Indexed as

CognitionRecognition, PsychologyAnimalsDogsLearningSmellObject discriminationObject mental representationObject recognitionOlfactionSensory modalitiesVision

Identifiers

PMID35674910
PMCPMC9652232

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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.