Hong Kong Baptist University

1) Complex neural networks and structure-function relationship

Cells in the neural systems interact through synapses, forming fairly complex networks across various scales, from local neuronal circuit up to the cortico-cortical networks linked by long-range projections (white matters). Basing on available data, it has been shown that neural networks display the characteristics of many real world networks, such as small-world properties, hubs and modules. We are interested in exploring special organization features in neural networks, their functional implications and the constraints underlying the formation of such network features. Graph-theory, dynamical modeling and combinatory optimization approaches are developed and applied to study how complex networks emerging under the constraints can satisfy the basic requirement for efficient information processing through diverse dynamical activities.

Related publications:
G. Zamora-Lopez, C.S. Zhou and J. Kurths, "Exploring brain function from anatomical connectivity". Frontiers in Neuroscience 5, 83 (2011) (Invited Review).
G. Zamora-Lopez, C.S. Zhou, and J. Kurths, "Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks" , Frontiers in Neuroinformatics, 4, article 1 (2010).
G. Zamora-Lopez, C.S. Zhou, and J. Kurths, "Graph Analysis of Cortical Networks Reveals Complex Anatomical Communication Substrate" , Chaos 19, 015117 (2009).
C.S. Zhou, L. Zemanova, G. Zamora, C.C. Hilgetag and J. Kurths, "Hierarchical organization unveiled by functional connectivity in complex brain networks", Phys. Rev. Lett. 97, 238103 (2006).
L. Zemanova, C.S. Zhou and J. Kurths, "Structural and functional clusters of complex brain networks", Physica D 224, 202 (2006).
 

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