Thursday 24 December 2015

bioinformatics - Epilepsy explained by computational neuroscience

A few years ago, on my maths masters, I did a module in theoretical neuroscience. I was shown that the mathematical framework the course developed for neurons, with a small adjustment in the parameters, would produce spike trains similar to those observed during epileptic kindling. These parametric tweaks could be attributed to mutations in ion channel/receptor structures. This was one of the highlights of the course, and when I came to apply for a math/bio interdisciplinary doctoral program, I cited it as such in my personal statement.



Now the interview is fast approaching, and I'm pretty sure it's going to come up, but for the life of me I can't track down a reference. After four years out of the game, my memory is hazy at best.



As I recall, this had something to do with short term plasticity. Normal neurons' response to unrelentingly high frequency spike trains decayes over time, while pathological neurons' does not. This may however be entirely wrong.



What is a reference for the model I describe above? An introductory/educational treatement is prefered, but the original paper is fine.

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