[Comp-neuro] New MSc Theoretical and Computational Neuroscience,
University of Plymouth, UK
R.Borisyuk at plymouth.ac.uk
Tue Feb 28 12:13:56 CET 2006
We are pleased to announce a new MSc programme Theoretical and
Computational Neuroscience at University of Plymouth, UK.
The course is full time for 12 months, and is due to start in October
Theoretical and computational neuroscience provides the solid basis
necessary to shed fresh light on the basic mechanisms underpinning brain
function at the cellular, circuit and systems levels. The programme's
taught modules provide knowledge and skills in a wide range of
theoretical techniques which are under intensive use in Neuroscience.
These include techniques for the development and analysis of
mathematical and computational models of neural activity, brain
structures, cognitive functions, etc, and probabilistic and statistical
techniques for analysing different types of experimental neuroscience
data. In addition to the taught modules, students will work individually
with one or more research advisors to develop a research project for
their dissertation and to learn how to carry out advanced
interdisciplinary research in their chosen research area.
The MSc programme is taught by staff in the Centre for Theoretical and
Computational Neuroscience (CTCN) at the University of Plymouth, UK. The
CTCN is one of the leading centres in the field of theoretical
neuroscience. The Centre has brought together a range of international
experts from various backgrounds with expertise in mathematical and
computational techniques and their application in neuroscience.
We offer a unique training scheme to students in two streams:
1 "Physical Sciences" stream.
Students with a background in the physical sciences or mathematics will
acquire knowledge and understanding in fundamental principles of
neurobiology and in theoretical and computational neuroscience.
2 "Life Sciences" stream.
Students with a background in the life sciences will acquire knowledge
and skills in theoretical methods and computational techniques for
studying the brain.
For more information and application see
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