(NEW Second edition)
James M. Bower, California Institute of Technology, Pasadena
David Beeman, University of Colorado, Boulder
This is the second edition of a practical introduction to the
interdisciplinary field of computational neuroscience through
the use of the GENESIS simulator, which is provided on a CD ROM
within the book. It is designed to be a step-by-step tutorial
for professionals, researchers and students working in fields
ranging from neuroscience to bioengineering, medicine, artificial
neural networks and the cognitive sciences.
Part I of the book teaches concepts in neuroscience and neural
modeling by means of interactive
computer tutorials on subjects ranging from neuronal membrane
properties to cortical networks. These chapters, written by several
contributors, allow the student to perform realistic simulations
and experiments on model neural systems and provide the necessary
background for understanding and using the tutorials. The simulations
are user-friendly with on-line help and may be used without any
prior knowledge of the GENESIS simulator or computer programming.
Part II is intended to teach the use of the GENESIS script language
for the construction of one's own simulations. This part will
be useful for self-study by researchers who wish to do neural
modeling, as well as students. It follows approximately the same
sequence of topics as Part II, and uses parts of the tutorial
simulations as examples of GENESIS programming. Several of these
are based on recent research simulations which have been published
in the neuroscience literature, but which have not been previously
available for use outside the laboratories of the original researchers.
Thus, the reader may modify these simulations and use them as
a starting point for the development of original simulations.
In addition to many revisions and additions to existing chapters,
this second edition includes two new chapters on the modeling
of biochemical signaling pathways and on the use of GENESIS on
parallel computers and networks of workstations. Other new additions
include a section describing ways to implement synaptic modification
(learning), a section describing uses of a new method for modeling
of a wide variety of voltage and ionic concentration dependent
channels, a description of improvements in the procedure for implementing
fast "implicit" numerical methods in GENESIS simulations, and
descriptions of many new GENESIS commands and simulation components.
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