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
- 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/).
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 - 10.2991/csic-15.2015.35 ID - Qin2015/07 ER -