Accessibility navigation


Multiscale evolving complex network model of functional connectivity in neuronal cultures

Spencer, M. C., Downes, J. H., Xydas, D., Hammond, M. W., Becerra, V. M., Warwick, K., Whalley, B. J. and Nasuto, S. J. (2011) Multiscale evolving complex network model of functional connectivity in neuronal cultures. IEEE Transactions on Biomedical Engineering, 59 (1). pp. 30-34. ISSN 0018-9294

Full text not archived in this repository.

To link to this article DOI: 10.1109/TBME.2011.2171340

Abstract/Summary

Cultures of cortical neurons grown on multielectrode arrays exhibit spontaneous, robust and recurrent patterns of highly synchronous activity called bursts. These bursts play a crucial role in the development and topological selforganization of neuronal networks. Thus, understanding the evolution of synchrony within these bursts could give insight into network growth and the functional processes involved in learning and memory. Functional connectivity networks can be constructed by observing patterns of synchrony that evolve during bursts. To capture this evolution, a modelling approach is adopted using a framework of emergent evolving complex networks and, through taking advantage of the multiple time scales of the system, aims to show the importance of sequential and ordered synchronization in network function.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:24771
Uncontrolled Keywords:Biological neural networks , complex networks
Publisher:IEEE

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation