Publication:
Mice are near optimal timers

dc.contributor.departmentDepartment of Psychology
dc.contributor.departmentGraduate School of Social Sciences and Humanities
dc.contributor.kuauthorGür, Ezgi
dc.contributor.kuauthorBalcı, Fuat
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
dc.date.accessioned2025-01-19T10:31:17Z
dc.date.issued2023
dc.description.abstractMany conventional interval timing tasks do not contain asymmetric cost (loss) functions and thereby favor high temporal accuracy. On the other hand, asymmetric cost functions that differentially penalize/reinforce the early or late responses result in adaptive biases (shift) in timed responses due to timing uncertainty. Consequently, optimal performance in these tasks entails the normative parametrization of adaptive timing biases by the level of timing uncertainty. Differential reinforce-ment of response duration (DRRD) is one of these tasks that require mice to actively respond (e.g., continuously depressing a lever) for a minimum amount of time to be reinforced. The active produc-tion of a time interval by mice in DRRD differentiates this task from the differential reinforcement of low rates of responding (DRL) task as a passive waiting task that was used in earlier studies to investigate the optimality of adaptive biases in timing behavior. We tested 21 Th-Cre male mice (9 weeks old) in a DRRD task with a minimum requirement of 2 s. Mean response durations were posi-tively biased (longer than the minimum requirement), and the extent of bias was predicted by the level of endogenous timing uncertainty. Mice nearly maximized the reward rate in this task These results contribute to the accumulating evidence supporting optimal temporal risk assessment in non-human animals.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.issue01/04/2025
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipWe are grateful to Warren Meck for the tremendous impact that his and his collaborators' work has had on the formation of the timing research field and for paving the very path that has led to the formation of our timing research community today. As for many others, our empirical and theoretical work is also deeply rooted in his seminal contributions and has always been reinforced by his encouragement of novel perspectives in interval timing research. Warren is deeply missed. We thank Pinar Toptas and Merve Erdogan for their help in data collection. This research was supported by a grant (#118K163) from the Scientific and Technological Research Council of Turkey (TUBITAK ) to FB. TUBITAK supports AE through the National Scholarship Program for Ph.D. students (BIDEB 2211A) .
dc.description.volume11
dc.identifier.doi10.1163/22134468-BJA10053
dc.identifier.eissn2213-4468
dc.identifier.issn2213-445X
dc.identifier.quartileQ4
dc.identifier.scopus2-s2.0-85134422137
dc.identifier.urihttps://doi.org/10.1163/22134468-BJA10053
dc.identifier.urihttps://hdl.handle.net/20.500.14288/26210
dc.identifier.wos982784800002
dc.keywordsInterval timing
dc.keywordsOptimality
dc.keywordsReward maximization
dc.keywordsTiming uncertainty
dc.keywordsDifferential reinforcement of response duration
dc.keywordsMice
dc.language.isoeng
dc.publisherBrill
dc.relation.grantnoScientific and Technological Research Council of Turkey (TUBITAK ) [118K163]; TUBITAK supports AE through the National Scholarship Program [BIDEB 2211A]
dc.relation.ispartofTiming and Time Perception
dc.subjectNeurosciences
dc.subjectPsychology
dc.titleMice are near optimal timers
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorGür, Ezgi
local.contributor.kuauthorBalcı, Fuat
local.contributor.kuauthorErdağı, Alihan
local.publication.orgunit1GRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
local.publication.orgunit1College of Social Sciences and Humanities
local.publication.orgunit2Department of Psychology
local.publication.orgunit2Graduate School of Social Sciences and Humanities
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