Document Citation |
Title:
An Information-Theoretic Neural Model Based On Concepts In Chinese Medicine.
Author(s):
Stefan Jaeger.
Institution(s):
1) National Library of Medicine, Bethesda, MD
Source:
Third International Workshop on Information Technology for
Chinese Medicine, IEEE International Conference on Bioinformatics and Biomedicine (BIBM). October 2012:496-502.
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.
Publication Type: CONFERENCE
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