大混淆灵长类视觉行为自然模式中的神经表征

IF 4.8 2区 医学 Q1 NEUROSCIENCES
David A. Leopold
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引用次数: 0

摘要

灵长类动物的大脑进化出了专门的视觉能力,以驾驭复杂的物理和社会环境。研究这些能力的皮层回路的研究人员历来倾向于使用简化的任务和简短的刺激演示,以便在严格的实验控制下分离认知变量。因此,有关视觉大脑功能的操作理论开始强调特征检测、分层刺激编码、自上而下的任务调节以及不同皮质区域的功能分离。然而,最近,结合自然行为和电生理记录的实验范式开始对大脑如何接收和分析视觉环境提供了截然不同的描述。本文回顾了这一领域的最新研究成果,重点介绍了在社会视觉和空间导航领域的一些令人惊讶的发现,以及这一研究方法带来的思维转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The big mixup: Neural representation during natural modes of primate visual behavior

The primate brain has evolved specialized visual capacities to navigate complex physical and social environments. Researchers studying cortical circuits underlying these capacities have traditionally favored the use of simplified tasks and brief stimulus presentations in order to isolate cognitive variables with tight experimental control. As a result, operational theories about visual brain function have come to emphasize feature detection, hierarchical stimulus encoding, top-down task modulation, and functional segregation in distinct cortical areas. Recently, however, experimental paradigms combining natural behavior with electrophysiological recordings have begun to offer a distinctly different portrait of how the brain takes in and analyzes its visual surroundings. The present article reviews recent work in this area, highlighting some of the more surprising findings in domains of social vision and spatial navigation along with shifts in thinking that have begun to emanate from this approach.

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来源期刊
Current Opinion in Neurobiology
Current Opinion in Neurobiology 医学-神经科学
CiteScore
11.10
自引率
1.80%
发文量
130
审稿时长
4-8 weeks
期刊介绍: Current Opinion in Neurobiology publishes short annotated reviews by leading experts on recent developments in the field of neurobiology. These experts write short reviews describing recent discoveries in this field (in the past 2-5 years), as well as highlighting select individual papers of particular significance. The journal is thus an important resource allowing researchers and educators to quickly gain an overview and rich understanding of complex and current issues in the field of Neurobiology. The journal takes a unique and valuable approach in focusing each special issue around a topic of scientific and/or societal interest, and then bringing together leading international experts studying that topic, embracing diverse methodologies and perspectives. Journal Content: The journal consists of 6 issues per year, covering 8 recurring topics every other year in the following categories: -Neurobiology of Disease- Neurobiology of Behavior- Cellular Neuroscience- Systems Neuroscience- Developmental Neuroscience- Neurobiology of Learning and Plasticity- Molecular Neuroscience- Computational Neuroscience
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