Publication:
Optimal response rates in humans and rats

dc.contributor.coauthorFreestone, David M.
dc.contributor.coauthorSimen, Patrick
dc.contributor.coauthorChurch, Russell M.
dc.contributor.departmentDepartment of Psychology
dc.contributor.departmentDepartment of Psychology
dc.contributor.kuauthorBalcı, Fuat
dc.contributor.kuprofileFaculty Member
dc.contributor.researchcenterKUTTAM (Koç University Research Center for Translational Medicine)
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.yokid51269
dc.date.accessioned2024-11-09T23:12:43Z
dc.date.issued2015
dc.description.abstractThe analysis of response rates has been highly influential in psychology, giving rise to many prominent theories of learning. There is, however, growing interest in explaining response rates, not as a global response to associations or value, but as a decision about how to space responses in time. Recently, researchers have shown that humans and mice can time a single response optimally; that is, in a way that maximizes reward. Here, we use the well-established differential reinforcement of low rates (DRL) timing task to show that humans and rats come close to optimizing reinforcement rate, but respond systematically faster than they should.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue1
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipFP7 Marie Curie [PIRG08-GA-2010277015]
dc.description.sponsorshipBAGEP Grant fromBilim Akademisi-The Science Academy, Turkey
dc.description.sponsorshipTUBITAK[1001 111K402] We thank Federico Sanabria, Vladimir Orduna, and Peter Balsam for sharing data with us. The results from the analysis of these data are presented in the discussion. We also thank Laura deSouza for aiding us in data collection, and Andra Geana for invaluable discussions on earlier versions of the manuscript. Last, we thank two anonymous reviewers for their helpful suggestions. Parts of this work was supported by an FP7 Marie Curie PIRG08-GA-2010-277015, TUBITAK1001 111K402, and a BAGEP Grant from Bilim Akademisi-The Science Academy, Turkey to Fuat Balc1.
dc.description.volume41
dc.identifier.doi10.1037/xan0000049
dc.identifier.eissn1939-2184
dc.identifier.issn0097-7403
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-84989235044
dc.identifier.urihttp://dx.doi.org/10.1037/xan0000049
dc.identifier.urihttps://hdl.handle.net/20.500.14288/9864
dc.identifier.wos351355500004
dc.keywordsDecision making
dc.keywordsDrl
dc.keywordsInterval timing
dc.keywordsResponse rate
dc.keywordsReward rate maximizing reinforcement rate
dc.keywordsVariable-interval
dc.keywordsDecision-making
dc.keywordsMatching law
dc.keywordsReward rate
dc.keywordsSchedules
dc.keywordsDifferentiation
dc.keywordsOptimization
dc.keywordsPerformance
dc.keywordsDeviation
dc.languageEnglish
dc.publisherAmerican Psychological Association (APA)
dc.sourceJournal of Experimental Psychology: Animal Learning and Cognition
dc.subjectPsychology, biological
dc.subjectBehavioral sciences
dc.subjectPsychology
dc.subjectPsychology, experimental
dc.subjectZoology
dc.titleOptimal response rates in humans and rats
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0003-3390-9352
local.contributor.kuauthorBalcı, Fuat
relation.isOrgUnitOfPublicationd5fc0361-3a0a-4b96-bf2e-5cd6b2b0b08c
relation.isOrgUnitOfPublication.latestForDiscoveryd5fc0361-3a0a-4b96-bf2e-5cd6b2b0b08c

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