Imperial College of Science,    Technology and Medicine   London/United Kingdom

 

Modelling Neural Processing Using Venn-Networks

in Physiological and Pathological Scenarios

Accompanying CD-ROM to PhD Thesis

Fernando Buarque de Lima Neto, BSc, MSc

  August 2002

 


 

Content menu of this CD-ROM

 

a) Venn-Networks simulator
Introduction and Organisation
Operation, Parameterisation and I/O files
Snapshots of screens and Description
Complete version of the simulator
 

b) Demonstrations:
Abstract of demos and relation to thesis
1 Mono-region (learning Mozart's Sonata Facile)
2 Multi-region (learning Mozart's Sonata Facile)
3 Sensory Feed-back
4 Modulation (two modalities)
5 Ageing
6 Stroke affecting mono region
7 MS affecting afferent/efferents
8 Contra-lateral inhibition

9 Contra-lateral activations due to Stroke
10 Contra-lateral activations due to MS
 

c) Simulations included in the thesis
Simulation compositions & file name rationale
Graphics produced - Physiological scenario
Graphics produced - Pathological scenario
 

d) Data produced in Chapter 6 (Physiology)
Equivalence
Active/Passive
Modulation
Ageing
Contra-lateral inhibition
 

e) Data produced in Chapter 7 (Pathology)
Multiple Sclerosis (MS)
Stroke
MS re-learning
Stroke re-learning
Contra-lateral activation
 

f) Data used for training the various topologies
Introduction & data manipulation
Mozart's Sonata Facile - Train/Test patterns
Mozart's Sonata Facile - Music files   
Other files
 

g) Pathology data and generator
Demonstration version of the generator
Complete version of the generator
Generated Multiple Sclerosis lesions (Actual data)
Generated Stroke lesions (Actual data)
Generated lesions (Data visualisation)
 

h) Extra
Selected sections from dissertation
PhD Thesis (PDF Version)
Questions, Problems, and Contacts

  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:

  1. The GVNS software with some brief documentation

  2. Ten demos of the Venn-simulator performing various tasks

  3. Abstract and charts of various experiments carried out in the work

  4. Complete set of data generated in chapter 6 of the thesis (Physiological Scenarios) - encompassing all five experiments

  5. Complete set of data generated in chapter 7 of the thesis (Pathological Scenarios) - encompassing all five experiments

  6. Input data used for trainings of all topologies of the thesis, i.e. Mozart's Sonata Facile

  7. Pathology generator software with brief documentation

  8. 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.

Graphics overview

 

 

 

Venn-network


Schematic view (click to enlarge)

 

 

Typical results

(i) Activations of artificial cortex 

 

        

(ii) Evoked behaviour of virtual hand

 

 

Typical lesions


(i) Stroke lesion used in  simulations

(ii) Multiple Sclerosis plaques used in simulations