Decoding Pigeon Behavior Outcomes Using Functional Connections among Local Field Potentials
Joint Authors
Chen, Yan
Liu, Xinyu
Li, Shan
Wan, Hong
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Recent studies indicate that the local field potential (LFP) carries information about an animal’s behavior, but issues regarding whether there are any relationships between the LFP functional networks and behavior tasks as well as whether it is possible to employ LFP network features to decode the behavioral outcome in a single trial remain unresolved.
In this study, we developed a network-based method to decode the behavioral outcomes in pigeons by using the functional connectivity strength values among LFPs recorded from the nidopallium caudolaterale (NCL).
In our method, the functional connectivity strengths were first computed based on the synchronization likelihood.
Second, the strength values were unwrapped into row vectors and their dimensions were then reduced by principal component analysis.
Finally, the behavioral outcomes in single trials were decoded using leave-one-out combined with the k-nearest neighbor method.
The results showed that the LFP functional network based on the gamma-band was related to the goal-directed behavior of pigeons.
Moreover, the accuracy of the network features (74 ± 8%) was significantly higher than that of the power features (61 ± 12%).
The proposed method provides a powerful tool for decoding animal behavior outcomes using a neural functional network.
American Psychological Association (APA)
Chen, Yan& Liu, Xinyu& Li, Shan& Wan, Hong. 2018. Decoding Pigeon Behavior Outcomes Using Functional Connections among Local Field Potentials. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130660
Modern Language Association (MLA)
Chen, Yan…[et al.]. Decoding Pigeon Behavior Outcomes Using Functional Connections among Local Field Potentials. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1130660
American Medical Association (AMA)
Chen, Yan& Liu, Xinyu& Li, Shan& Wan, Hong. Decoding Pigeon Behavior Outcomes Using Functional Connections among Local Field Potentials. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130660
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130660