ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017
Inferential Learning of Serial Order of Perceptual Categories by Rhesus Monkeys (
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Positional inference in rhesus macaques.Animal cognition · 2022Article
- Transitive inference after minimal training in rhesus macaques (Macaca mulatta).Journal of experimental psychology. Animal learning and cognition · 2021Article
- Category learning in a transitive inference paradigm.Memory & cognition · 2021Article
- Reward associations do not explain transitive inference performance in monkeys.Science advances · 2019Article
- Mutations in neuroligin-3 in male mice impact behavioral flexibility but not relational memory in a touchscreen test of visual transitive inference.Molecular autism · 2019Article
- Perceptual category learning of photographic and painterly stimuli in rhesus macaques (Macaca mulatta) and humans.PloS one · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Category learning in animals is typically trained explicitly, in most instances by varying the exemplars of a single category in a matching-to-sample task. Here, we show that male rhesus macaques can learn categories by a transitive inference paradigm in which novel exemplars of five categories were presented throughout training. Instead of requiring decisions about a constant set of repetitively presented stimuli, we studied the macaque's ability to determine the relative order of multiple exemplars of particular stimuli that were rarely repeated. Ordinal decisions generalized both to novel stimuli and, as a consequence, to novel pairings. Thus, we showed that rhesus monkeys could learn to categorize on the basis of implied ordinal position, without prior matching-to-sample training, and that they could then make inferences about category order. Our results challenge the plausibility of association models of category learning and broaden the scope of the transitive inference paradigm.
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Registered trials
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