Neural signal transmission in complex networks

• Grant number: 10/50614-7
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: November 01, 2010
• End date: September 30, 2012
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Zhao Liang
• Grantee: Xiaoming Liang
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

This research proposal aims to study the neural signal transmission in complex networks. Differing from previous studies mainly based on static network topology, we investigate the influence of time varying network structures on neural signal transmission. Specifically, we consider the small world networks and community networks which are constructed according to the recent experiments on brain networks. We hope our work may serve as an alternative explanation to understand both functional and pathological mechanisms of neural signal transmission in brain networks. Moreover, since current artificial neural networks use static and regular network topology, the study of neural signal transmission in networks of complex and time varying topology may open an alternative approach to develop new and more powerful artificial neural networks. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LIANG, XIAOMING; ZHAO, LIANG; LIU, ZONGHUA. Phase-noise-induced resonance in a single neuronal system. Physical Review E, v. 84, n. 3, p. 5-pg., 2011-09-16. (10/50614-7)