• DocumentCode
    3456796
  • Title

    An information-theoretic neural model based on concepts in Chinese medicine

  • Author

    Jaeger, S.

  • Author_Institution
    Nat. Libr. of Med., Nat. Inst. of Health, Bethesda, MD, USA
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    496
  • Lastpage
    502
  • Abstract
    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.
  • Keywords
    brain models; information theory; neurophysiology; Chinese philosophical ideas; Yin-Yang symbol rotation; Yin-Yang symbol size; accupuncture; information theoretic neural model; mathematical model; neural activity; neural signal processing; perception; polar coordinates; synapse; synaptic learning; traditional Chinese medicine; Biological system modeling; Equations; Linear approximation; Mathematical model; Neurons; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470372
  • Filename
    6470372