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低级结构对高级认知的贡献:迈向动态网络模型

Contributions of Lower Structures to Higher Cognition: Towards a Dynamic Network Model.

作者信息

Saban William, Gabay Shai

机构信息

Center for Accessible Neuropsychology, Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel.

Department of Occupational Therapy, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.

出版信息

J Intell. 2023 Jun 14;11(6):121. doi: 10.3390/jintelligence11060121.

Abstract

Researchers often attribute higher cognition to the enlargement of cortical regions throughout evolution, reflecting the belief that humans sit at the top of the cognitive pyramid. Implicitly, this approach assumes that the subcortex is of secondary importance for higher-order cognition. While it is now recognized that subcortical regions can be involved in various cognitive domains, it remains unclear how they contribute to computations essential for higher-level cognitive processes such as endogenous attention and numerical cognition. Herein, we identify three models of subcortical-cortical relations in these cognitive processes: (i) subcortical regions are not involved in higher cognition; (ii) subcortical computations support elemental forms of higher cognition mainly in species without a developed cortex; and (iii) higher cognition depends on a whole-brain dynamic network, requiring integrated cortical and subcortical computations. Based on evolutionary theories and recent data, we propose the : the Subcortex is Essential for the Early Development of higher cognition. According to the five principles of the , subcortical computations are essential for the emergence of cognitive abilities that enable organisms to adapt to an ever-changing environment. We examine the implications of the from a multidisciplinary perspective to understand how the subcortex contributes to various forms of higher cognition.

摘要

研究人员常常将更高的认知能力归因于整个进化过程中皮质区域的扩大,这反映出一种观点,即人类处于认知金字塔的顶端。含蓄地说,这种方法假定皮质下区域对于高阶认知来说是次要的。虽然现在人们认识到皮质下区域可能参与各种认知领域,但它们如何对诸如内源性注意力和数字认知等高级认知过程所必需的计算做出贡献仍不清楚。在此,我们确定了这些认知过程中皮质下 - 皮质关系的三种模型:(i)皮质下区域不参与高阶认知;(ii)皮质下计算主要在没有发达皮质的物种中支持高阶认知的基本形式;(iii)高阶认知依赖于全脑动态网络,需要皮质和皮质下计算的整合。基于进化理论和最新数据,我们提出了:皮质下区域对于高阶认知的早期发展至关重要。根据该理论的五条原则,皮质下计算对于使生物体能够适应不断变化的环境的认知能力的出现至关重要。我们从多学科角度研究该理论的含义,以了解皮质下区域如何对各种形式的高阶认知做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f73a/10302417/174d4b0701a5/jintelligence-11-00121-g001.jpg

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