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Computational Intelligence and Neuroscience
Volume 2018, Article ID 3505371, 13 pages
https://doi.org/10.1155/2018/3505371
Research Article

Decoding Pigeon Behavior Outcomes Using Functional Connections among Local Field Potentials

1School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
2School of Information Engineering, Huanghuai University, Zhumadian, Henan, China
3Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan, China

Correspondence should be addressed to Hong Wan; nc.ude.uzz@gnohnaw

Received 24 October 2017; Revised 9 January 2018; Accepted 14 January 2018; Published 15 February 2018

Academic Editor: Saeid Sanei

Copyright © 2018 Yan Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yan Chen, Xinyu Liu, Shan Li, and Hong Wan, “Decoding Pigeon Behavior Outcomes Using Functional Connections among Local Field Potentials,” Computational Intelligence and Neuroscience, vol. 2018, Article ID 3505371, 13 pages, 2018. https://doi.org/10.1155/2018/3505371.