A Simulation Method of Magnetic Treatment to Depressed Brain based on Chaotic Network
Yunchuan Huang, Yu Zhou, Huaze Tang
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.57How to use a DOI?
- chaotic network; simulation; electromagnetic stimulus; brain region.
- Chaotic neural network has a wide range of applications, especially in uncertain time-series prediction. Aihara Neural Network takes refractoriness into consideration and shows superiority in solution to TSP. The inspiration was from peers’ work on specifically targeted on deep brain by nanometre materials. We defined a complex system with 16 brain regions related to depression. Based on BOLD signals, we reconstructed the connectivity matrix and the parameters and applied modeled signals as irritation to specific region to provide a model prototype. The comparison between Power Spectral Entropy before and after irritation indicates the relation between physical irritation and curative effect. The results proved the obligation to implement multi-point treatment.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yunchuan Huang AU - Yu Zhou AU - Huaze Tang PY - 2019/04 DA - 2019/04 TI - A Simulation Method of Magnetic Treatment to Depressed Brain based on Chaotic Network BT - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmeit-19.2019.57 DO - https://doi.org/10.2991/icmeit-19.2019.57 ID - Huang2019/04 ER -