Literature DB >> 24793399

Spontaneous versus trained numerical abilities. A comparison between the two main tools to study numerical competence in non-human animals.

Christian Agrillo1, Angelo Bisazza2.   

Abstract

A large body of experimental evidence shows that animals as diverse as mammals, birds, and fish are capable of processing numerical information. Considerable differences have been reported in some cases among species and a wide debate currently surrounds the issue of whether all vertebrates share the same numerical systems or not. Part of the problem is due to the fact that these studies often use different methods, a circumstance that potentially introduces confounding factors in a comparative analysis. In most studies, two main methodological approaches have been used: spontaneous choice tests and training procedures. The former approach consists of presenting to the subjects two groups of biologically-relevant stimuli (e.g., food items or social companions) differing in numerosity with the assumption that if they are able to discriminate between the two quantities, they are expected to spontaneously select the larger/smaller quantity. In the latter approach, subjects undergo extensive training in which some neutral stimuli (e.g., a quantity of dots) are associated with a reward and the capacity to learn a numerical rule is taken as evidence of numerical abilities. We review the literature on this topic, highlighting the relevance, and potential weaknesses in controlling confounding factors obtained with either approach.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal cognition; Birds; Continuous variables; Fish; Mammals; Numerical competence

Mesh:

Year:  2014        PMID: 24793399     DOI: 10.1016/j.jneumeth.2014.04.027

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  26 in total

1.  Rainbow trout discriminate 2-D photographs of conspecifics from distracting stimuli using an innovative operant conditioning device.

Authors:  Aude Kleiber; Claudiane Valotaire; Amélie Patinote; Pierre-Lô Sudan; Guillaume Gourmelen; Cécile Duret; Frédéric Borel; Leny Legoff; Manon Peyrafort; Vanessa Guesdon; Léa Lansade; Ludovic Calandreau; Violaine Colson
Journal:  Learn Behav       Date:  2021-01-06       Impact factor: 1.986

2.  Number sense and state-dependent valuation in cuttlefish.

Authors:  Tsang-I Yang; Chuan-Chin Chiao
Journal:  Proc Biol Sci       Date:  2016-08-31       Impact factor: 5.349

3.  Impact of stimulus format and reward value on quantity discrimination in capuchin and squirrel monkeys.

Authors:  Regina Paxton Gazes; Alison R Billas; Vanessa Schmitt
Journal:  Learn Behav       Date:  2018-03       Impact factor: 1.986

Review 4.  Understanding the origin of number sense: a review of fish studies.

Authors:  Christian Agrillo; Angelo Bisazza
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-02-19       Impact factor: 6.237

Review 5.  Numerical assessment in the wild: insights from social carnivores.

Authors:  Sarah Benson-Amram; Geoff Gilfillan; Karen McComb
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-02-19       Impact factor: 6.237

6.  Revisiting more or less: influence of numerosity and size on potential prey choice in the domestic cat.

Authors:  Jimena Chacha; Péter Szenczi; Daniel González; Sandra Martínez-Byer; Robyn Hudson; Oxána Bánszegi
Journal:  Anim Cogn       Date:  2020-02-12       Impact factor: 3.084

7.  Honeybees use absolute rather than relative numerosity in number discrimination.

Authors:  Maria Bortot; Christian Agrillo; Aurore Avarguès-Weber; Angelo Bisazza; Maria Elena Miletto Petrazzini; Martin Giurfa
Journal:  Biol Lett       Date:  2019-06-19       Impact factor: 3.703

8.  Numerosity representations in crows obey the Weber-Fechner law.

Authors:  Helen M Ditz; Andreas Nieder
Journal:  Proc Biol Sci       Date:  2016-03-30       Impact factor: 5.349

9.  Trained Quantity Abilities in Horses (Equus caballus): A Preliminary Investigation.

Authors:  Maria Elena Miletto Petrazzini
Journal:  Behav Sci (Basel)       Date:  2014-07-25

Review 10.  The Challenge of Illusory Perception of Animals: The Impact of Methodological Variability in Cross-Species Investigation.

Authors:  Maria Santacà; Christian Agrillo; Maria Elena Miletto Petrazzini
Journal:  Animals (Basel)       Date:  2021-05-30       Impact factor: 2.752

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