An Information-Theoretic Neural Model Based on Concepts in Chinese Medicine

被引:0
作者
Jaeger, Stefan [1 ]
机构
[1] NIH, Natl Lib Med, Bethesda, MD 20894 USA
来源
2012 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS (BIBMW) | 2012年
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中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a linear information-theoretic model for neural signal processing using Chinese philosophical ideas, in particular Yin and Yang. The main goal is to provide a mathematical model that can explain neural activity in accordance with concepts in traditional Chinese medicine. As yet, the lack of such models has prevented a more formal explanation of the efficacy of traditional treatments related to the nervous system, such as acupuncture. According to the proposed model, a synapse performs a linear operation on its input. This operation, when plotted in polar coordinates, follows the shape of a Yin-Yang symbol. Synaptic learning becomes synonymous with adapting the size and rotation of the Yin-Yang symbol. The model distinguishes between the perceived input and the actual input. Both, perception and reality, coincide in the golden ratio. Learning thus becomes a process of aligning perception with reality, which is a novel learning concept.
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页数:7
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