比较神经科学的标准方法在哪里失败,在哪里有效:一般智力和大脑不对称

Pub Date : 2018-01-01 DOI:10.3819/CCBR.2018.130010
D. Serpico, E. Frasnelli
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引用次数: 3

摘要

尽管大脑大小和智力的概念在比较神经科学中被广泛用于研究认知及其进化,但这种粗粒度的特征可能不足以提供神经认知系统重要方面的信息。考虑到不同物种的不同进化轨迹和神经生理学上的选择压力,Logan和他的同事们建议,一个有机体的认知能力应该通过考虑其特征的细粒度和物种特异性表型特征来研究。这样,我们就可以避免采用以人为本的、粗粒度的特征,这是认知神经科学中典型的标准方法。我们认为,这种标准方法在某些情况下可能失败,但在其他情况下可能有效,通过讨论当代神经科学中的两个主要主题作为例子:一般智力和大脑不对称。
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Where the standard approach in comparative neuroscience fails and where it works: General intelligence and brain asymmetries
Although brain size and the concept of intelligence have been extensively used in comparative neuroscience to study cognition and its evolution, such coarse-grained traits may not be informative enough about important aspects of neurocognitive systems. By taking into account the different evolutionary trajectories and the selection pressures on neurophysiology across species, Logan and colleagues suggest that the cognitive abilities of an organism should be investigated by considering the fine-grained and species-specific phenotypic traits that characterize it. In such a way, we would avoid adopting human-oriented, coarse-grained traits, typical of the standard approach in cognitive neuroscience. We argue that this standard approach can fail in some cases, but can, however, work in others, by discussing two major topics in contemporary neuroscience as examples: general intelligence and brain asymmetries.
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