Mice Extrapolate Temporal Information Based on Previously Learned Spatiotemporal Mappings: An Asymmetrical Case
| dc.contributor.author | Gur, Ezgi | |
| dc.contributor.author | Duyan, Yalcin A. | |
| dc.contributor.author | Toptas, Pinar | |
| dc.contributor.author | Balci, Fuat | |
| dc.date.accessioned | 2026-02-05T20:05:55Z | |
| dc.date.available | 2026-02-05T20:05:55Z | |
| dc.date.issued | 2026 | |
| dc.description | Balcı, Fuat/0000-0003-3390-9352; | en_US |
| dc.description.abstract | One of the computational affordances of isomorphic magnitude representations is the extrapolation of temporal information based on previously experienced spatiotemporal pairings. We initially trained mice on the association of two intervals (10 s and 30 s) with two hoppers (H2 and H4, counterbalanced) in a five-choice nose-poke box with the following setup. One of the three novel hoppers (H1) neighbored H2 only, the other novel hopper (H5) neighbored H4 only, and the third novel hopper (H3) neighbored H2 and H4 (H1Novel -> H2Trained -> H3Novel -> H4Trained -> H5Novel). During test trials, one of the five hoppers was illuminated. We estimated the trial time at which the anticipatory response rate was maximal (peak time) separately for each hopper. Mice extrapolated temporal information only in a forward fashion; the peak time for H5 was longer than that for H4. Mice did not extrapolate temporal information backward; the timed response curves in H1 and H3 were closely similar to those in H2. Thus, our findings suggest that mice can extrapolate temporal information, but also indicate that the computations underlying this process are directionally constrained. We discuss the possible reasons behind asymmetrical extrapolation. | en_US |
| dc.description.sponsorship | The Scientific and Technological Research Council of Turkiye [117K370, BIDEB 2210A, BIDEB 2211E] | en_US |
| dc.description.sponsorship | This research was supported by a grant from the Scientific and Technological Research Council of Turkey (TUBITAK) to FB [grant number: 117K370]. TUBITAK supported EG and PT through the National Scholarship Program for graduate students (B & Idot;DEB 2211E & 2210 A, respectively). | en_US |
| dc.identifier.doi | 10.3758/s13420-025-00704-0 | |
| dc.identifier.issn | 1543-4494 | |
| dc.identifier.issn | 1543-4508 | |
| dc.identifier.scopus | 2-s2.0-105026866329 | |
| dc.identifier.uri | https://doi.org/10.3758/s13420-025-00704-0 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11779/3197 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartof | Learning & Behavior | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Extrapolation | en_US |
| dc.subject | Interval Timing | en_US |
| dc.subject | Peak Interval Procedure | en_US |
| dc.subject | Mice | en_US |
| dc.subject | Time | en_US |
| dc.title | Mice Extrapolate Temporal Information Based on Previously Learned Spatiotemporal Mappings: An Asymmetrical Case | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Balcı, Fuat/0000-0003-3390-9352 | |
| gdc.author.institutional | Duyan, Yalçın Akın | |
| gdc.author.scopusid | 57072971200 | |
| gdc.author.scopusid | 57196052781 | |
| gdc.author.scopusid | 57810485700 | |
| gdc.author.scopusid | 15128915200 | |
| gdc.author.wosid | Toptas, Pinar/Pgg-2445-2026 | |
| gdc.author.wosid | Balcı, Fuat/Y-9061-2018 | |
| gdc.author.wosid | Gür, Ezgi/Jxy-4326-2024 | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İİSBF, Psikoloji Bölümü | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q4 | |
| gdc.description.woscitationindex | Science Citation Index Expanded - Social Science Citation Index | |
| gdc.description.wosquality | Q2 | |
| gdc.identifier.openalex | W7119103125 | |
| gdc.identifier.pmid | 41495588 | |
| gdc.identifier.wos | WOS:001654937200001 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.index.type | PubMed | |
| gdc.openalex.collaboration | International | |
| gdc.openalex.fwci | 0.0 | |
| gdc.openalex.normalizedpercentile | 0.1 | |
| gdc.opencitations.count | 0 | |
| gdc.plumx.scopuscites | 0 | |
| gdc.publishedmonth | Ocak | |
| gdc.scopus.citedcount | 0 | |
| gdc.wos.citedcount | 0 | |
| gdc.yokperiod | YÖK - 2025-26 | |
| relation.isOrgUnitOfPublication | a6e60d5c-b0c7-474a-b49b-284dc710c078 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | a6e60d5c-b0c7-474a-b49b-284dc710c078 |
