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2
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3
Transitive inference in humans (Homo sapiens) and rhesus macaques (Macaca mulatta) after massed training of the last two list items.在对最后两个列表项进行集中训练后,人类(智人)和恒河猴(猕猴)的传递性推理。
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4
Neuronal Mechanisms of Visual Categorization: An Abstract View on Decision Making.视觉分类的神经机制:决策的抽象观点。
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5
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恒河猴对感知类别序列顺序的推理学习()

Inferential Learning of Serial Order of Perceptual Categories by Rhesus Monkeys ().

作者信息

Tanner Natalie, Jensen Greg, Ferrera Vincent P, Terrace Herbert S

机构信息

Columbia College.

Department of Neuroscience,

出版信息

J Neurosci. 2017 Jun 28;37(26):6268-6276. doi: 10.1523/JNEUROSCI.0263-17.2017. Epub 2017 May 25.

DOI:10.1523/JNEUROSCI.0263-17.2017
PMID:28546309
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5490063/
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. The cognitive abilities of nonhuman animals are of enduring interest to scientists and the general public because they blur the dividing line between human and nonhuman intelligence. Categorization and sequence learning are highly abstract cognitive abilities each in their own right. This study is the first to provide evidence that visual categories can be ordered serially by macaque monkeys using a behavioral paradigm that provides no explicit feedback about category or serial order. These results strongly challenge accounts of learning based on stimulus-response associations.

摘要

动物的类别学习通常是通过明确训练来实现的,在大多数情况下,是在样本匹配任务中改变单个类别的示例。在这里,我们表明雄性恒河猴可以通过传递性推理范式学习类别,在整个训练过程中呈现五个类别的新示例。我们没有要求对一组不断重复呈现的刺激做出决策,而是研究了猕猴确定特定刺激的多个示例的相对顺序的能力,这些刺激很少重复。顺序决策既适用于新刺激,也因此适用于新的配对。因此,我们表明恒河猴可以在没有先前样本匹配训练的情况下,基于隐含的顺序位置学习分类,并且它们随后可以对类别顺序进行推理。我们的结果挑战了类别学习关联模型的合理性,并拓宽了传递性推理范式的范围。非人类动物的认知能力一直是科学家和公众感兴趣的,因为它们模糊了人类和非人类智力之间的分界线。分类和序列学习本身就是高度抽象的认知能力。这项研究首次提供证据表明,猕猴可以使用一种不提供关于类别或序列顺序的明确反馈的行为范式,将视觉类别按顺序排列。这些结果强烈挑战了基于刺激 - 反应关联的学习理论。