Literature DB >> 26242608

Stimulus probability effects on temporal bisection performance of mice (Mus musculus).

Başak Akdoğan1, Fuat Balcı2.   

Abstract

In the temporal bisection task, participants classify experienced stimulus durations as short or long based on their temporal similarity to previously learned reference durations. Temporal decision making in this task should be influenced by the experienced probabilities of the reference durations for adaptiveness. In this study, we tested the temporal bisection performance of mice (Mus musculus) under different short and long reference duration probability conditions implemented across two experimental phases. In Phase 1, the proportion of reference durations (compared to probe durations) was 0.5, whereas in Phase 2 it was increased to 0.8 to further examine the adjustment of choice behavior with more frequent reference duration presentations (under higher reinforcement rate). Our findings suggest that mice developed adaptive biases in their choice behaviors. These adjustments in choice behavior were nearly optimal as the mice maximized their gain to a great extent which required them to monitor stimulus probabilities as well as the level of variability in their temporal judgments. We further found that short but not long categorization response times were sensitive to stimulus probability manipulations, which in turn suggests an asymmetry between short and long categorizations. Finally, we investigated the latent decision processes underlying the bias manifested in subjects' choice behavior within the diffusion model framework. Our results revealed that probabilistic information influenced the starting point and the rate of evidence accumulation process. Overall, the stimulus probability effects on choice behavior were modulated by the reinforcement rate. Our findings illustrate that mice can adapt their temporal behaviors with respect to the probabilistic contingencies in the environment.

Entities:  

Keywords:  Choice behavior; Diffusion model; Interval timing; Optimality; Temporal bisection

Mesh:

Year:  2015        PMID: 26242608     DOI: 10.1007/s10071-015-0909-6

Source DB:  PubMed          Journal:  Anim Cogn        ISSN: 1435-9448            Impact factor:   3.084


  6 in total

1.  A Perceptual Inference Mechanism for Hallucinations Linked to Striatal Dopamine.

Authors:  Clifford M Cassidy; Peter D Balsam; Jodi J Weinstein; Rachel J Rosengard; Mark Slifstein; Nathaniel D Daw; Anissa Abi-Dargham; Guillermo Horga
Journal:  Curr Biol       Date:  2018-02-02       Impact factor: 10.834

2.  Mice plan decision strategies based on previously learned time intervals, locations, and probabilities.

Authors:  Tuğçe Tosun; Ezgi Gür; Fuat Balcı
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-05       Impact factor: 11.205

3.  Numerical averaging in mice.

Authors:  Ezgi Gür; Yalçın Akın Duyan; Fuat Balcı
Journal:  Anim Cogn       Date:  2020-11-04       Impact factor: 3.084

4.  The amygdalo-nigrostriatal network is critical for an optimal temporal performance.

Authors:  Mouna Es-seddiqi; Nicole El Massioui; Nathalie Samson; Bruce L Brown; Valérie Doyère
Journal:  Learn Mem       Date:  2016-02-16       Impact factor: 2.460

5.  Duration-specific effects of outcome devaluation in temporal control are differentially sensitive to amount of training.

Authors:  Sho Araiba; Nicole El Massioui; Bruce L Brown; Valérie Doyère
Journal:  Learn Mem       Date:  2018-11-15       Impact factor: 2.460

6.  Effects of reinforcement during the intertrial interval on temporal discrimination: Location version with rats.

Authors:  Mario Pérez-Calzada; Oscar Zamora-Arevalo
Journal:  Front Behav Neurosci       Date:  2022-09-30       Impact factor: 3.617

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.