Mathematical Integral in Neuroscience Paper

AI Thread Summary
The discussion revolves around difficulties in understanding a mathematical result from a specific paper, particularly how equation 7 is derived using equations (3) and (5). The original poster suspects that the authors discard certain integral terms based on the assumption of exponential decay and utilize symmetry to adjust the limits. A suggestion is made to obtain the full paper through a financial contribution, but it is noted that the paper is also available in a book that can be searched on Amazon, allowing access to the relevant content without purchasing the entire text. This solution enables the original poster to access the necessary information while also planning to enjoy a movie over the weekend.
madness
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Hi everyone,

I'm having trouble getting a mathematical result in the following paper:

http://link.springer.com/chapter/10.1007/978-3-540-88853-6_4#page-1

In particular, I can't figure out how they reach equation 7. They use equations (3) and (5), and I think they discard a lot of the terms in the integral based on the assumption that A decays exponentially or faster. I think they also use the symmetry of the integral to change the limits. Can anyone figure it out?
 
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Well, madman, if you wanted to send me 30 clams (US), I may be able to look into that for you since I can only get the abstract without paying. I'd use my own money, but I'm saving the $30 to go see "Man of steel" this weekend after loading up for the fun with a few tacos:smile: Sorry.
 
DiracPool said:
Well, madman, if you wanted to send me 30 clams (US), I may be able to look into that for you since I can only get the abstract without paying. I'd use my own money, but I'm saving the $30 to go see "Man of steel" this weekend after loading up for the fun with a few tacos:smile: Sorry.

You'd earn $0.05! Or maybe not, final prices depend on local VAT ...
 
The cited paper has been collected and published in a book "Dynamic Brain - from Neural Spikes to Behaviors: 12th International Summer School on Neural Networks, Erice, Italy, December 5-12, 2007, Revised". I found it on amazon.com. The key point is that amazon allows for searching inside the book. By searching on "Yoshioka" (one of the coauthors of the paper), I was able to find the paper and scroll to the relevant page. I was stimulated by the searching problem, not the neuroscience and I can't help with the derivation. But now atyy can both look at the paper for free and watch Superman. What a great start to the weekend!
 
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