Event 2     Middelfart (outside Copenhagen) Denmark 2008
Stochastic Differential Equation Models with Applications
to the Insulin-Glucose System and Neuronal Modelling
Organizers: S. Ditlevsen, and M. Soerensen
August 3 to August 16, 2008
The event web page can be found   HERE
Scientific Focus
The focus of the event will be on exploring
the theory and practice of modeling using stochastic methods.
There is an increasing need to extend mathematical models of biological
systems to models capable of describing more complex variations in the
dynamics. In general, stochastic effects influence the dynamics, and
may enhance or diminish or even completely change the dynamic behavior
of the system. Real biological systems will always be subject to
external and internal influences that are not fully understood or that
cannot be explicitly modeled, and random noise offers a tractable way
of taking account of these mechanisms. A natural extension of a
deterministic differential equations model in continuous time is given
by a stochastic differential equations model, where relevant parameters
are modeled as random processes of some suitable form. This approach
assumes that some degree of noise is present in the dynamics of the
process. While there is broad research activity on mathematical models
for biological systems as well as a well-developed theory of
stochastic dynamical systems and their statistics, including parameter
estimation, contacts between the two research communities have so far
only been sporadic. The school aims to help bridge this gap by raising
awareness of the possibilities offered by the theory of stochastic
calculus for the solution of relevant biological problems. Necessary
physiological background on the glucose-insulin system and the
neuronal functioning will be provided, and stochastic models of these
systems will be presented. Emphasis will be on stochastic
integrate{}-and{}-fire models and stochastic differential equation
models of the Euglycemic Hyperinsulinemic Clamp for determining insulin
sensitivity.
Educational Focus
The school portion of the event will focus on providing the school participant
with an understanding of techniques in theory and practice relevaant for
modeling physiological control systems and developing useful applications to
problems in the clinical setting.
Instructors will include mathematicians,
bio-engineers, and life scientists from academia and industry as well as
medical clinicians.
Event Overview
The event consists of two components: (a) a 14 day summer
school aimed at
PhD and Post-Doc students (b) A 3 day scientific
workshop with current researchers involved with the same scientific topic as
the school. The last 3 days of the summer school are merged with the
scientific workshop allowing students to learn about up to date research with
current researchers in the field.
