Multiscale evolving complex network model of functional connectivity in neuronal cultures

Matthew C Spencer, J. H. Downes, D. Xydas, Mark William Hammond, Victor M. Becerra, Kevin Warwick, Ben J. Whalley, Slowomir J. Nasuto

    Research output: Contribution to journalArticlepeer-review


    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.
    Original languageEnglish
    Pages (from-to)30-34
    JournalIEEE Transactions on Biomedical Engineering
    Issue number1
    Publication statusPublished - Jan 2012


    • Biological neural networks , complex networks


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