认知
认知科学
透视图(图形)
心理学
空间认知
认知心理学
动物认知
神经科学
生物神经网络
运动认知
社会认知
计算机科学
人工智能
作者
David L. Barack,John W. Krakauer
标识
DOI:10.1038/s41583-021-00448-6
摘要
Cognition can be defined as computation over meaningful representations in the brain to produce adaptive behaviour. There are two views on the relationship between cognition and the brain that are largely implicit in the literature. The Sherringtonian view seeks to explain cognition as the result of operations on signals performed at nodes in a network and passed between them that are implemented by specific neurons and their connections in circuits in the brain. The contrasting Hopfieldian view explains cognition as the result of transformations between or movement within representational spaces that are implemented by neural populations. Thus, the Hopfieldian view relegates details regarding the identity of and connections between specific neurons to the status of secondary explainers. Only the Hopfieldian approach has the representational and computational resources needed to develop novel neurofunctional objects that can serve as primary explainers of cognition.
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