Introduction: this CD is an integral
part of the above titled PhD thesis. Its purpose is chiefly
to be a complimentary material produced to illustrate some of the
concepts referred to, ideas put forward, and simulations included
in the main text. Therefore, it is recommended to keep the
CD together with the thesis and use it at all times in conjunction
with the printed material. Notice that some information or desired
explanations may only be found in the thesis.
Computer requirements (for demos):
Java 2 & 512Mb main memory
List of contents: the present CD features
eight distinct kinds of information:
-
The GVNS software with some brief documentation
-
Ten demos of the Venn-simulator performing various
tasks
-
Abstract and charts of various experiments carried
out in the work
-
Complete set of data generated in chapter 6 of
the thesis (Physiological Scenarios) - encompassing all five
experiments
-
Complete set of data generated in chapter 7 of
the thesis (Pathological Scenarios) - encompassing all five
experiments
-
Input data used for trainings of all topologies
of the thesis, i.e. Mozart's Sonata Facile
-
Pathology generator software with brief documentation
-
FAQ, contacts and selected introductory sections
of the thesis
Copyright: the content of this CD
is a result of independent and original research pursued by the
author, who - hereby - grants full permission to all
interested people of using them freely for scientific purposes.
In such cases credits should be as suggested below:
{Buarque de Lima Neto,
Fernando, "Modelling Neural Processing Using
Venn-Networks in Physiological and Pathological Scenarios",
PhD Thesis- Accompanying CD, Imperial College of Science,
Technology and Medicine, London - United Kingdom, August 2002}.
Acknowledgement: The CNPq,
a Brazilian federal agency that supports scientific and technological
development, has sponsored this work with the grant 200295-98.5.
Disclaimer: the author has endeavoured
all efforts possible towards the correctness of all ideas and material
presented here, which - to the best of his knowledge - is accurate
and scientifically relevant.
Author's e-addresses:
fbln@ic.ac.uk or
fblnbr@hotmail.com
Understanding
and modelling nature is one of the ultimate aspirations of man in
order to prove his superiority above other beings and elements.
One could say that science is the most secure path to achieving
this archetypal dream. Our work has the aim to be one more brick
along the long way ahead. Fernando Buarque, 1999.