Can quantum probability help analyze the behavior of functional brain networks?

Arpan Banerjee; Barry Horwitz

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Can quantum probability help analyze the behavior of functional brain networks?

机译：量子概率可以帮助分析功能性大脑网络的行为吗？

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Pothos & Busemeyer (P&B) argue how key concepts of quantum probability, for example, order/context, interference, superposition, and entanglement, can be used in cognitive modeling. Here, we suggest that these concepts can be extended to analyze neurophysiological measurements of cognitive tasks in humans, especially in functional neuroimaging investigations of large-scale brain networks.

机译：Pothos＆Busemeyer（P＆B）提出了如何在认知建模中使用量子概率的关键概念（例如顺序/上下文，干涉，叠加和纠缠）的方法。在这里，我们建议这些概念可以扩展到分析人类认知任务的神经生理测量，尤其是在大规模脑网络的功能性神经成像研究中。

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《Behavioral and Brain Sciences》 |2013年第3期|278-279|共2页
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Arpan Banerjee; Barry Horwitz;
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Brain Imaging and Modeling Section, Voice, Speech and Language Branch, National Institute on Deafness and other Communication Disorders, National Institutes of Health, Bethesda, MD 20892-1402;

Brain Imaging and Modeling Section, Voice, Speech and Language Branch, National Institute on Deafness and other Communication Disorders, National Institutes of Health, Bethesda, MD 20892-1402;

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Can quantum probability help analyze the behavior of functional brain networks?

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