Study on the Brain Stereotaxic Method of Carp Aquatic Animal-robot
Yong Peng, Congshan Guo, Yangyang Su, Zhanqiu Wang, Pei Hua Su, Dan Du, Weichao Shen, Yakun Ju, Ru Tian, Xiangqian Zhou, Fan Zhan, Jie Li, Lijuan Ying
Available Online July 2016.
- https://doi.org/10.2991/bbe-16.2016.73How to use a DOI?
- Carp, Aquatic animal-robot, CT imaging, Skull partition, Brain stereotaxic positioning, Biological control.
- [Purposes] Our aim is to explore the brain stereotaxic method of aquatic animal-robots. [Methods] Carps were anesthetized by Eugenol. The carp skulls and brain were observed by the method of anatomy. Carp brain structure and size were obtained by three-dimension images which were structured by CT. The brain stereotaxic method was confirmed by setting up a 3 d coordinate system of brain and dividing carp skull surface into 8 location areas. The 3 d coordinate system of brainwas built according to the principle of brain stereotaxic coordinates, the bony marks and the characteristics of carp skull. And the 8 location areas were used for implanting electrodes. Stimulating electrodes were implanted into cerebral motor areas by the application of brain stereotaxic method. [Results] The carp-robot went forward and turned successfully by controlling in underwater experiment. [Conclusion] The results showed that the brain stereotaxic method is feasible and reliable for carp-robot.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yong Peng AU - Congshan Guo AU - Yangyang Su AU - Zhanqiu Wang AU - Pei Hua Su AU - Dan Du AU - Weichao Shen AU - Yakun Ju AU - Ru Tian AU - Xiangqian Zhou AU - Fan Zhan AU - Jie Li AU - Lijuan Ying PY - 2016/07 DA - 2016/07 TI - Study on the Brain Stereotaxic Method of Carp Aquatic Animal-robot BT - Proceedings of the 2016 International Conference on Biomedical and Biological Engineering PB - Atlantis Press SP - 466 EP - 471 SN - 2468-5747 UR - https://doi.org/10.2991/bbe-16.2016.73 DO - https://doi.org/10.2991/bbe-16.2016.73 ID - Peng2016/07 ER -