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Abstract and Applied Analysis
Volume 2013 (2013), Article ID 486178, 9 pages
http://dx.doi.org/10.1155/2013/486178
Research Article

Neurodynamics of up and down Transitions in Network Model

1Institute for Cognitive Neurodynamics, School of Science, East China University of Science and Technology, Shanghai 200237, China
2Institute for Cognitive Neurodynamics, School of Science, School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

Received 20 November 2013; Accepted 27 November 2013

Academic Editor: Jinde Cao

Copyright © 2013 Xuying Xu and Rubin Wang. 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.

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.