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开环与闭环:一种关于注意力和意识的计算方法。

Open and closed loops: A computational approach to attention and consciousness.

作者信息

Trapp Sabrina, Schroll Henning, Hamker Fred H

机构信息

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

出版信息

Adv Cogn Psychol. 2012 Feb 3;8(1):1-8. doi: 10.2478/v10053-008-0096-y. Print 2012.

DOI:10.2478/v10053-008-0096-y
PMID:23853675
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3709102/
Abstract

Within recent years, researchers have proposed the independence of attention and consciousness on both empirical and conceptual grounds. However, the elusive nature of these constructs complicates progress in the investigation of their interaction. We present a framework within which we conceptualize attention and consciousness in computational terms. Here, the concepts are consi-dered as large-scale, functionally and structurally different processes, embedded in a biologically inspired architecture, spanning the full arc from stimulus to response. Our architecture assumes a general independence of attention and consciousness, but supposes strong interactions. Furthermore, it addresses the developmental aspect, stressing that these functions have to gradually develop through learning.

摘要

近年来,研究人员基于实证和概念依据提出了注意力和意识的独立性。然而,这些概念难以捉摸的本质使对其相互作用的研究进展变得复杂。我们提出了一个框架,在其中我们从计算角度对注意力和意识进行概念化。在此,这些概念被视为大规模的、功能和结构上不同的过程,嵌入在一个受生物启发的架构中,涵盖从刺激到反应的整个过程。我们的架构假定注意力和意识具有一般独立性,但也存在强烈的相互作用。此外,它还涉及发展方面,强调这些功能必须通过学习逐步发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca94/3709102/c6f170aa5666/acp-08-001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca94/3709102/c6f170aa5666/acp-08-001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca94/3709102/c6f170aa5666/acp-08-001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca94/3709102/c6f170aa5666/acp-08-001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca94/3709102/c6f170aa5666/acp-08-001-g002.jpg

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Working memory and response selection: a computational account of interactions among cortico-basalganglio-thalamic loops.工作记忆和反应选择:皮质基底神经节丘脑回路相互作用的计算描述。
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