Finally online!

And what a disappointment, isn't it :o)

Well, here it is, my PhD thesis ("Adaptation and implementation of an MC method for reaction-diffusion in biophysically realistic compartmental neurone models", DocThesis.pdf ). I am out of research since July 2003 but I found out more and more (neuro)scientists cite our chapter in the Bower/Bolouri book on molecular modelling. That chapter is partially based on my PhD research of which my thesis is a better summary.

There were once plans for publishing articles but I hardly found time during the project. In addition, I felt an article could only have had enough impact if I implemented a sensible model for transmembrane fluxes at the same spatial scale as the rest of the simulation. However, it was lab policy I had to leave the lab (if you want to find out more about them : [1]) after obtaining my degree and therefore could not tie up this loose end.

It is my believe that one should only publish if one has something useful to report, not to crank up one's publication record. On the other hand, I am pragmatic enough to understand one has to keep the funding flowing but I could not motivate myself to publish only a partial result for which I had no time left to complete. And that was because I joined my (formal) supervisor's lab (doing research in solid state physics :-) and there I had more than enough on my mind.

But don't worry. It seems our message has gotten through and people start to understand the importance of full reaction-diffusion modelling in a neurophysiogical context. I don't say it is absolutely necessary. I do say you need to use it in key models to show its necessity rather than basing your arguments on static or homogeneous/reduced-dimensionality models.

Seen the mathematical intractibility of the problem at hand to get deep formal analytical results, simulation seems to me the only sensible way to make that decision. Alas, that means that if someone has not made that decision for you for a certain class of problems, it will be up to you.

Questions? Mail me (remove .removeme in the email address) : Guy Bormann


[26 December 2015]
A Perspective on Adaptive and Deep Learning Systems