Neurodynamics of up and down Transitions in Network Model. (31st December 2013)

• Record Type: Journal Article
• Authors: Xu, Xuying; Wang, Rubin
• Other Names: Cao Jinde Academic Editor.
• Is Part Of: Abstract and applied analysis. Volume 2013(2013)
• Publication Date: 2013-12-31
• Subjects: Mathematical analysis -- Periodicals; Mathematical analysis; Applied Mathematics; Mathematical Analysis; Periodicals; 515.05
• DOI: 10.1155/2013/486178
• Languages: English
• ISSNs: 1085-3375

Abstract

Abstract : This paper focuses on the neurodynamical research of a small neural network that consists of 25 neurons. We study the periodic spontaneous activity and transitions between up and down states without synaptic input. The results demonstrate that these transitions are bidirectional or unidirectional with the parameters changing, which not only reveals the function of the cortex, but also cohere with the experiment results.