The first principle of neural circuit and the general Circuit-Probability theory
Hao Wang, Jiahui Wang, Xin Yuan Thow, Chengkuo Lee

TL;DR
This paper introduces a novel neural circuit model considering myelin as an inductor, explaining neural signal propagation and magnetic stimulation phenomena, and optimizing coil design based on the new model.
Contribution
It proposes a new neural circuit model with myelin as an inductor, extending the Circuit-Probability theory and explaining magnetic nerve stimulation.
Findings
The new circuit explains neural signal propagation better.
Magnetic nerve stimulation phenomena are accurately modeled.
Coil structure optimization improves stimulation efficiency.
Abstract
A new neural circuit is proposed by considering the myelin as an inductor. This new neural circuit can explain why the lump-parameter circuit used in previous C-P theory is valid. Meanwhile, it provides a new explanation of the biological function of myelin for neural signal propagation. Furthermore, a new model for magnetic nerve stimulation is built and all phenomena in magnetic nerve stimulation can be well explained. Based on this model, the coil structure can be optimized.
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Taxonomy
TopicsNeural Networks and Applications · EEG and Brain-Computer Interfaces · Fractal and DNA sequence analysis
