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