December 15, 2012:
With my latest scientific article “SPIKE-distance” I am taking part in the competition for the
2012 Brain Corporation Prize in Computational Neuroscience
which basically gives prizes ($5000, $3000, $2000) to the three articles that have received the most Google +1 votes by January 31, 2013 (now June 30, 2013).
[It might sound strange to decide a scientific prize by public vote but the idea behind the prize is quite simple: to bring attention to the Scholarpedia website.]
The competition started already in October but my paper got published only now (on December 14) which makes it just the second article to enter the competition. But as you see on the vote chart above it has some catching up to do. Furthermore, there are at least two more articles that should get published soon. Thus it would be great to get a good head start so that they in turn can not catch up with me that easily.
If you have a Google account could you please vote for me (on the top right corner of my article “SPIKE-distance” you will see the Google +1 button). If you don’t have a Google account maybe you could ask a friend who does.
And in case you really want to do me a very big favor you could forward this link (http://www.fi.isc.cnr.it/users/thomas.kreuz/news.html) to as many friends as possible (in particular to those with Google accounts). And please ask them to do the same etc (in order to have a realistic chance there should be some kind of avalanche effect).
By the way: In case I win any of these prizes, I guarantee that the money will be used for scientific purposes only.
If you want to follow the voting: I will try to update the chart above once a day. It depicts the votes of my article (red) against those of my competitors.
Thanks a lot,
PS: If you are working in computational neuroscience: The Scholarpedia-article is based on a very recent paper that is to appear in the Journal of Neurophysiology. A preprint of the final version can be found here. Also you are of course very welcome to check out the new method which I believe can be very useful. Matlab source codes and two movies demonstrating the method can be found here.