Dave Posted January 22, 2004 Posted January 22, 2004 Since the forum really does run the risk of going completely sour if someone doesn't post something in it, I thought I'd try to liven it up a bit. I don't know whether anyone who reads these forums has ever written a maths thesis/paper, but I think it'd be quite interesting to find out whether anyone has any particular areas of mathematics that they're fascinated/interested in, or whether you've ever written any papers/theses/short proofs/whatever on anything. Personally, I'm quite interested in the convergence of infinite series and finding their limits (mainly from all of the work we've been doing on it in Analysis this term). Hope we get some more people replying
NSX Posted January 23, 2004 Posted January 23, 2004 I like math, but Engineering tends to rush math, and jsut get you to plugin stuff & make it work. :/ I like reading the math articles when i can as a supplement to my calculus text. It's available to the public. Here's the site: http://www.matharticles.com/ma_clc7e.html Myself, I like dy/dx and :lint:. I'm waiting for differential eq'ns, which will be a 2 weeks or so... I also like playing with patterns, ie. fractals, series, and the like.
Neurocomp2003 Posted January 23, 2004 Posted January 23, 2004 i am a big fan comp/math blended fields chaos theory/perturbation/dynamic systems, whatever you want to call it, as well as fractals and number theory/crypt. I am currently teaching my self number thoeyr in crypt and spiking neurons.
NSX Posted January 24, 2004 Posted January 24, 2004 Neurocomp2003 said in post # :i am a big fan comp/math blended fields chaos theory/perturbation/dynamic systems, whatever you want to call it, as well as fractals and number theory/crypt. I am currently teaching my self number thoeyr in crypt and spiking neurons. What is spiking neurons?
Neurocomp2003 Posted January 25, 2004 Posted January 25, 2004 it could be technically called "mathematical neuroscience" but in my opinion it is a subfield of it. Basically it studies/models the behaviour of neurons, and biological neural networks at the firing pattern/conductance/current level for computational modelling. You get a bunch of PDEs and ODEs and its comes down to studying dynamical systems with application in NNs. It ignores ion concentration, channel flow etc and some other stuff that comes with studying the brain that you could model, which is more biophysics related.
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