1. Analyzing topological characteristics of neuronal functional networks in the rat brain.
- Author
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Lu, Hu, Yang, Shengtao, Song, Yuqing, and Wei, Hui
- Subjects
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BRAIN function localization , *TOPOLOGY , *ARTIFICIAL neural networks , *LABORATORY rats , *MODULAR functions , *COGNITION - Abstract
In this study, we recorded spike trains from brain cortical neurons of several behavioral rats in vivo by using multi-electrode recordings. An NFN was constructed in each trial, obtaining a total of 150 NFNs in this study. The topological characteristics of NFNs were analyzed by using the two most important characteristics of complex networks, namely, small-world structure and community structure. We found that the small-world properties exist in different NFNs constructed in this study. Modular function Q was used to determine the existence of community structure in NFNs, through which we found that community-structure characteristics, which are related to recorded spike train data sets, are more evident in the Y-maze task than in the DM-GM task. Our results can also be used to analyze further the relationship between small-world characteristics and the cognitive behavioral responses of rats. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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