Title :
The spike-frequency adaptability of small-world neuronal network under AC electric field
Author :
Yingyuan Chen ; Jiasng Wang ; Bin Deng ; Xile Wei ; Haitao Yu
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Abstract :
In this paper, the Ermentrout neuronal model under external electrical field is established. Based on this model we build a small-world neuronal network to study the spike-frequency adaptation of neuronal network under AC electrical field. The results show that when fixing the frequency, reducing the amplitude can improve the adaptability. And when fixing the amplitude, raising the frequency can improve the adaptability.
Keywords :
bioelectric potentials; electric fields; neural nets; small-world networks; AC electrical field; Ermentrout neuronal model; amplitude fixation; amplitude reduction; external electrical field; frequency fixation; frequency raising; small-world neuronal network; spike-frequency adaptability improvement; spike-frequency adaptation; Adaptation models; Biological neural networks; Biological system modeling; Chaos; Electric fields; Encoding; Neurons; Ermentrout model; Spike-frequency adaptation; external electric field; small-world network;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561738
