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A Canonical Laminar Neocortical Circuit whose Bottom-Up, Horizontal, and Top-Down Pathways Control Attention, Learning, and Prediction Feedforward and Feedback Processing in the Cerebral Cortex: Connectivity and Function
Frontiers in Systems Neuroscience ( IF 3 ) Pub Date : 2021-03-29 , DOI: 10.3389/fnsys.2021.650263
Stephen Grossberg 1
Affiliation  

All perceptual and cognitive circuits in the human cerebral cortex are organized into layers. Specializations of a canonical laminar network of bottom-up, horizontal, and top-down pathways carry out multiple kinds of biological intelligence across different neocortical areas. This article describes what this canonical network is and notes that it can support processes as different as 3D vision and figure-ground perception; attentive category learning and decision-making; speech perception; and cognitive working memory, planning, and prediction. These processes take place within and between multiple parallel cortical streams that obey computationally complementary laws. The interstream interactions that are needed to overcome these complementary deficiencies mix cell properties so thoroughly that some authors have noted the difficulty of determining what exactly constitutes a cortical stream and the differences between streams. The models summarized herein explain how these complementary properties arise, and how their interstream interactions overcome their computational deficiencies to support effective goal-oriented behaviors.

中文翻译:

典型的层状新皮质回路,其自下而上、水平和自上而下的通路控制大脑皮层的注意力、学习和预测前馈和反馈处理:连接性和功能

人类大脑皮层中的所有感知和认知回路都被组织成层。由自下而上、水平和自上而下路径组成的规范层状网络的专门化在不同的新皮质区域中执行多种生物智能。本文描述了这个规范网络是什么,并指出它可以支持 3D 视觉和图形地面感知等不同的过程;专注的品类学习和决策;言语感知;以及认知工作记忆、计划和预测。这些过程发生在多个并行皮层流之内和之间,这些皮层流遵循计算互补法则。克服这些互补缺陷所需的流间相互作用如此彻底地混合了细胞特性,以至于一些作者注意到确定皮层流的确切构成以及流之间的差异是困难的。本文总结的模型解释了这些互补属性是如何产生的,以及它们的流间交互如何克服它们的计算缺陷以支持有效的目标导向行为。
更新日期:2021-03-29
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