A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation.
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| Title: | A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation. |
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| Authors: | Lee SH; Department of Psychology, The Ohio State University, 212 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA. lee.7285@osu.edu., Kim D; Department of Psychology, The Ohio State University, 212 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA., Opfer JE; Department of Psychology, The Ohio State University, 212 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA., Pitt MA; Department of Psychology, The Ohio State University, 212 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA., Myung JI; Department of Psychology, The Ohio State University, 212 Psychology Building, 1835 Neil Avenue, Columbus, OH, 43210, USA. |
| Source: | Psychonomic bulletin & review [Psychon Bull Rev] 2022 Jun; Vol. 29 (3), pp. 971-984. Date of Electronic Publication: 2021 Dec 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer] Country of Publication: United States NLM ID: 9502924 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1531-5320 (Electronic) Linking ISSN: 10699384 NLM ISO Abbreviation: Psychon Bull Rev Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1531-5320 |
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| DOI: | 10.3758/s13423-021-02041-5 |
