Literature DB >> 35843989

Count-based decision-making in mice: numerosity vs. stimulus control.

Pınar Toptaş1,2, Ezgi Gür1,3, Fuat Balcı4,5.   

Abstract

Numerical and temporal control of behavior is ubiquitous across many species of animals. Recent studies showed that in the presence of reliable discriminative stimuli, mice ignore temporal relations and probabilistic information but when discriminative stimuli become non-informative, the same mice can spontaneously start relying on previously experienced time intervals and probabilities. Similar dynamics do not readily generalize to counting behavior since the response-outcome contingency functions differ when reinforcement depends on the number vs. timing of responding. In the current study, mice (N = 32) learned to press two different levers 10 (few) or 20 (many) times, while the active lever was signaled by a light stimulus. The probability of the few/many trials was manipulated between groups. During testing, the informative value of light stimulus was eliminated by signaling both few- and many-levers. In a quarter of training trials, mice ignored the discriminative stimulus and adopted a numerical decision strategy (starting to respond on the few-option and then switching to the many-option in many trials) that was sensitive to probabilistic information. The frequency but not the probability-sensitive parametrization of switching behavior changed when the discriminative stimulus became non-informative in testing. These findings suggest that there is a relatively strong representational control over counting behavior even in conditions that afford strong stimulus control.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Count-based decision-making; Goal-directed behavior; Habitual learning; Numerical switch behavior; Ratio and interval schedules

Year:  2022        PMID: 35843989     DOI: 10.1007/s10071-022-01652-2

Source DB:  PubMed          Journal:  Anim Cogn        ISSN: 1435-9448            Impact factor:   2.899


  23 in total

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Authors:  E M Brannon; H S Terrace
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Journal:  Psychon Bull Rev       Date:  2016-06

8.  Risk assessment in man and mouse.

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

9.  Nonverbal arithmetic in humans: light from noise.

Authors:  Sara Cordes; C R Gallistel; Rochel Gelman; Peter Latham
Journal:  Percept Psychophys       Date:  2007-10

10.  Probabilistic Information Modulates the Timed Response Inhibition Deficit in Aging Mice.

Authors:  Ezgi Gür; Yalçın Akın Duyan; Fuat Balcı
Journal:  Front Behav Neurosci       Date:  2019-09-03       Impact factor: 3.558

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