UNIVERSITY OF HERTFORDSHIRE
	     COMPUTER SCIENCE RESEARCH COLLOQUIUM

			    presents

         "Methods for the Analysis of Structure-Dynamics 
                Relationships in Complex Networks: 
          Applications in Computational Neuroscience"

	       Dr. Tuomo Mikeal Maeki-Marttunen
    (Institute of Clinical Medicine, University of Oslo, Norway)

		    23 November 2016 (Wednesday)
			   1 - 2 pm


		  Hatfield, College Lane Campus
			Seminar Room D102

		  Everyone is Welcome to Attend

		  Refreshments will be available


Abstract:

To understand the function of a complex network an analysis of the network 
structure and dynamics and the relationship between the two is needed. 
Graph theory provides mathematical measures that can be effectively used 
to describe and classify network structures. A determinant graph-theoretic
property of the structure of a biological network is the distribution of 
local connectivity patterns, i.e. network motifs. In this talk, I present 
a method for creating directed, unweighted networks while promoting a 
certain combination of motifs. This motif-based network algorithm starts 
with an empty graph and randomly connects the nodes by advancing or 
discouraging the formation of chosen motifs. The in- or out-degree 
distribution of the generated networks can be explicitly chosen. The 
algorithm is shown to perform well in producing networks with high 
occurrences of the targeted motifs, both ones consisting of 3 nodes
as well as ones consisting of 4 nodes. Moreover, the algorithm can also
be tuned to bring about global network characteristics found in many
natural networks, such as small-worldness and modularity. Furthermore,
I will present results from our studies analyzing the effects of structure
on dynamics in simulated neuronal networks.



------------------------------------------------------------------------
Hertfordshire Computer Science Research Colloquium
http://cs-colloq.cs.herts.ac.uk