Numerical Averaging in Mice

dc.contributor.author Balcı, Fuat
dc.contributor.author Duyan, Yalcın Akın
dc.contributor.author Gür, Ezgi
dc.date.accessioned 2020-11-20T17:40:56Z
dc.date.available 2020-11-20T17:40:56Z
dc.date.issued 2020
dc.description.abstract Rodents can be trained to associate different durations with different stimuli (e.g., light/sound). When the associated stimuli are presented together, maximal responding is observed around the average of individual durations (akin to averaging). The current study investigated whether mice can also average independently trained numerosities. Mice were initially trained to make 10 or 20 lever presses on a single (run) lever to obtain a reward and each fixed-ratio schedule was signaled either with an auditory or visual stimulus. Then, mice were trained to press another lever to obtain the reward after they responded on the run lever for the minimum number of presses [Fixed Consecutive Number (FCN)-10 or -20 trials] signaled by the corresponding discriminative stimulus. Following this training, FCN trials with the compound stimulus were introduced to test the counting behavior of mice when they encountered conflicting information regarding the number of responses required to obtain the reward. Our results showed that the numbers of responses on these compound test trials were around the average of the number of responses in FCN-10 and FCN-20 trials particularly when the auditory stimulus was associated with a fewer number of required responses. The counting strategy explained the behavior of the majority of the mice in the FCN-Compound test trials (as opposed to the timing strategy). The number of responses in FCN-Compound trials was accounted for equally well by the arithmetic, geometric, and Bayesian averages of the number of responses observed in FCN-10 and FCN-20 trials.
dc.identifier.citation Gür, E., Duyan, Y. A., & Balcı, F. (November 04, 2020). Numerical averaging in mice. Animal Cognition. pp. 1-14. DOI: https://doi.org/10.1007/s10071-020-01444-6
dc.identifier.doi 10.1007/s10071-020-01444-6
dc.identifier.issn 1435-9456
dc.identifier.issn 1435-9448
dc.identifier.scopus 2-s2.0-85095458384
dc.identifier.uri https://doi.org/10.1007/s10071-020-01444-6
dc.identifier.uri https://hdl.handle.net/20.500.11779/1375
dc.language.iso en
dc.publisher Springer
dc.relation.ispartof Animal Cognition
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Numerosity
dc.subject Averaging
dc.subject Mice
dc.subject Cue integration
dc.subject Counting
dc.subject Number
dc.title Numerical Averaging in Mice
dc.type Article
dspace.entity.type Publication
gdc.author.id Yalçın Akın Duyan / 0000-0002-4527-0165
gdc.author.institutional Duyan, Yalcın Akın
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department İİSBF, Psikoloji Bölümü
gdc.description.endpage 510
gdc.description.issue 1
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.scopusquality Q1
gdc.description.startpage 14
gdc.description.volume 24
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W3096879350
gdc.identifier.pmid 33150473
gdc.identifier.wos WOS:000585732000001
gdc.index.type WoS
gdc.index.type Scopus
gdc.index.type PubMed
gdc.oaire.diamondjournal false
gdc.oaire.impulse 4.0
gdc.oaire.influence 2.8086897E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Mice
gdc.oaire.keywords Reinforcement Schedule
gdc.oaire.keywords Reward
gdc.oaire.keywords Animals
gdc.oaire.keywords Conditioning, Operant
gdc.oaire.keywords Bayes Theorem
gdc.oaire.popularity 8.109247E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0106 biological sciences
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0501 psychology and cognitive sciences
gdc.oaire.sciencefields 01 natural sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 0.98372773
gdc.openalex.normalizedpercentile 0.76
gdc.opencitations.count 7
gdc.plumx.crossrefcites 5
gdc.plumx.mendeley 11
gdc.plumx.pubmedcites 6
gdc.plumx.scopuscites 9
gdc.publishedmonth Kasım
gdc.scopus.citedcount 9
gdc.virtual.author Duyan, Yalcın Akın
gdc.wos.citedcount 9
gdc.wos.collaboration Uluslararası işbirliği ile yapılmayan - HAYIR
gdc.wos.documenttype Article
gdc.wos.indexdate 2020
gdc.wos.publishedmonth Kasım
gdc.yokperiod YÖK - 2020-21
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