Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

Minimal Neuronal Model for the Transmission Path of Acupuncture Signal

Authors
Yingmei Qin, Chunxiao Han, Bei Liu, Yanqiu Che
Corresponding Author
Yingmei Qin
Available Online July 2015.
DOI
https://doi.org/10.2991/csic-15.2015.35How to use a DOI?
Keywords
Acupuncture, Izhikevich neuronal model, Neural signal
Abstract

Acupuncture has been proved to be effective for treatment of diseases, but the underlying mechanisms about acupuncture are still unknown. We design the animal experiment and process the data. We focus on the firing patterns evoked by acupuncture and developed Izhikevich neuronal model to characterize acupuncture signal. It is shown that this minimal model could account for some important experimental phenomena. Computational studies provide more insight in the underlying mechanisms of acupuncture.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-84-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/csic-15.2015.35How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yingmei Qin
AU  - Chunxiao Han
AU  - Bei Liu
AU  - Yanqiu Che
PY  - 2015/07
DA  - 2015/07
TI  - Minimal Neuronal Model for the Transmission Path of Acupuncture Signal
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 148
EP  - 151
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.35
DO  - https://doi.org/10.2991/csic-15.2015.35
ID  - Qin2015/07
ER  -