Computational Neurosciences is a burgeoning field of research
where only the combined effort of neuroscientists, biologists,
psychologists, physicists, mathematicians, computer scientists,
engineers and other specialists, e.g. from linguistics and
medicine, seem to be able to expand the limits of our
knowledge.
The present volume is an introduction, largely from the
physicists' perspective, to the subject matter with in-depth
contributions by system neuroscientists. A conceptual model for
complex networks of neurons is introduced that incorporates many
important features of the real brain, such as various types of
neurons, various brain areas, inhibitory and excitatory coupling
and the plasticity of the network. The computational implementation
on supercomputers, which is introduced and discussed in detail in
this book, will enable the readers to modify and adapt the
algortihm for their own research. Worked-out examples of
applications are presented for networks of Morris-Lecar neurons to
model the cortical connections of a cat's brain, supported with
data from experimental studies.
This book is particularly suited for graduate students and
nonspecialists from related fields with a general science
background, looking for a substantial but hands-on introduction to
the subject matter. "
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