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神经元数量少的认知:昆虫的高阶学习。

Cognition with few neurons: higher-order learning in insects.

机构信息

Université de Toulouse (UPS), Centre de Recherches sur la Cognition Animale, 31062 Toulouse cedex 9, France.

出版信息

Trends Neurosci. 2013 May;36(5):285-94. doi: 10.1016/j.tins.2012.12.011. Epub 2013 Feb 1.

Abstract

Insects possess miniature brains but exhibit a sophisticated behavioral repertoire. Recent studies have reported the existence of unsuspected cognitive capabilities in various insect species that go beyond the traditionally studied framework of simple associative learning. Here, I focus on capabilities such as attentional modulation and concept learning and discuss their mechanistic bases. I analyze whether these behaviors, which appear particularly complex, can be explained on the basis of elemental associative learning and specific neural circuitries or, by contrast, require an explanatory level that goes beyond simple associative links. In doing this, I highlight experimental challenges and suggest future directions for investigating the neurobiology of higher-order learning in insects, with the goal of uncovering the basic neural architectures underlying cognitive processing.

摘要

昆虫拥有微型大脑,但表现出复杂的行为模式。最近的研究报告称,在各种昆虫物种中存在着意想不到的认知能力,这些能力超出了传统上研究的简单联想学习框架。在这里,我专注于注意力调节和概念学习等能力,并讨论它们的机制基础。我分析了这些行为,它们似乎特别复杂,是否可以基于基本的联想学习和特定的神经回路来解释,或者相反,是否需要超越简单联想联系的解释水平。在这样做的过程中,我强调了实验挑战,并为研究昆虫的高级学习的神经生物学提出了未来的方向,旨在揭示认知处理的基本神经结构。

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