Evidence map›Paper›PMID 26733674›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

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

Tuğçe Tosun, Ezgi Gür, Fuat Balcı

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  12. Glycolysis-enhancing αNPJ Parkinson's disease · 2023
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  16. Rodents monitor their error in self-generated duration on a single trial basis.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Experience-related enhancements in striatal temporal encoding.The European journal of neuroscience · 2021
    Article
  18. Numerical averaging in mice.Animal cognition · 2021
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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

3 authors.

Tuğçe TosunDepartment of Psychology, Koç University, Rumelifeneri Yolu, Sarıyer, Istanbul 34450, Turkey.
Ezgi GürDepartment of Psychology, Koç University, Rumelifeneri Yolu, Sarıyer, Istanbul 34450, Turkey.
Fuat BalcıDepartment of Psychology, Koç University, Rumelifeneri Yolu, Sarıyer, Istanbul 34450, Turkey fbalci@ku.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animals can shape their timed behaviors based on experienced probabilistic relations in a nearly optimal fashion. On the other hand, it is not clear if they adopt these timed decisions by making computations based on previously learnt task parameters (time intervals, locations, and probabilities) or if they gradually develop their decisions based on trial and error. To address this question, we tested mice in the timed-switching task, which required them to anticipate when (after a short or long delay) and at which of the two delay locations a reward would be presented. The probability of short trials differed between test groups in two experiments. Critically, we first trained mice on relevant task parameters by signaling the active trial with a discriminative stimulus and delivered the corresponding reward after the associated delay without any response requirement (without inducing switching behavior). During the test phase, both options were presented simultaneously to characterize the emergence and temporal characteristics of the switching behavior. Mice exhibited timed-switching behavior starting from the first few test trials, and their performance remained stable throughout testing in the majority of the conditions. Furthermore, as the probability of the short trial increased, mice waited longer before switching from the short to long location (experiment 1). These behavioral adjustments were in directions predicted by reward maximization. These results suggest that rather than gradually adjusting their time-dependent choice behavior, mice abruptly adopted temporal decision strategies by directly integrating their previous knowledge of task parameters into their timed behavior, supporting the model-based representational account of temporal risk assessment.

Indexed as

Decision MakingLearningProbabilityAnimalsMiceModels, NeurologicalReaction TimeTime Factorsdecision makinginterval timingmiceprobabilitiestemporal risk assessment

Identifiers

PMID26733674
PMCPMC4725500

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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.