The official release of version 7.3 of NEURON brings many improvements and enhancements. The most salient of these are listed at http://www.neuron.yale.edu/phpBB/viewtopic.php?f=22&t=2793. Of particular interest to many will be NEURON's new ability to deal with reactive diffusion. A tutorial about how to use this new feature has been added to the Documentation page of this site.
In response to the "sequester," we are offering a $150 early registration discount on a limited number of seats in the NEURON Summer Course and the Parallelizing NEURON Models course. The discount will apply to registrants who sign up and pay by 5 PM EDT (New York time), Friday, April 12, 2013.
2013 promises to be another exciting year as we introduce a new item to the curriculum in response to the evolving needs of the community of NEURON users.
The first hands-on course this year will be an updated version of "The NEURON Simulation Environment" (the "Summer Course"). As always, this course provides a comprehensive introduction to the use of NEURON for modeling cells and networks.
As ted mentioned in his blog a couple of days ago, we're trying to discover all of the presentations at this year's SFN meeting--well, as many as possible--and listing them at http://www.neuron.yale.edu/neuron/static/sfn2012/ni.html Today the count has gone up to 35. Check it out, and if we missed your talk or poster, tell us and we'll add it to the list!
The 2012 meeting of the Society for Neuroscience starts at the end of next week, and as usual we're presenting a 1 day course on NEURON. Registration has officially closed, but there is a possibility that one or two places may open up--so if you are interested, contact me
ted dot carnevale at yale dot edu
as soon as possible and I'll see what can be done.
Also, I am again trying to build a list of presentations that report work that was done with NEURON. Unfortunately, it hasn't gotten any easier to identify these from SFN's "abstract planner" so please tell me if you know of something that should be included in the list. The list will be posted at
As of January 29, 2012, we know of 1176 publications that report work that used NEURON--see http://www.neuron.yale.edu/neuron/static/bib/usednrn.html . This is an increase of 169 from the total of 1007 on September 3, 2010, the last time we updated this page.
It may seem a surprise that many of these newly discovered papers were actually published several years ago: 4 in 2007, 7 in 2008, 10 in 2009, and 46 in 2010. We have noted this "delayed discovery" phenomenon every year since we started keeping track of NEURON publications.
This is a year for milestones. For the first time ever, there will be a NEURON Summer Course on two continents: one at University of California, San Diego, from June 23-27 (see http://www.neuron.yale.edu/neuron/static/courses/nscsd2012/nscsd2012.html), and another at Institute of Science and Technology in Klosterneuburg, Austria, from August 20-24 (see http://www.ist.ac.at/NeuronCourse2012/).
This is also the first NEURON course in Europe. Many thanks to Peter Jonas, Jose Guzman, and our other colleagues at IST Austria for inviting us and organizing this event!
The 2011 annual meeting of the Society for Neuroscience starts in just a few days, and once again I am trying to assemble a list of presentations that report work that was done with NEURON. So far I have identified 21 papers, which you can see here:
I know there are more to be found, but strict limits on abstract length prevent authors from including all but the most essential information. So if you know of anything else that should be added or other changes that should be made, please contact me
Today's post is belongs to the "new thought of the day" category. It bears on issues of data quality, "favorite numbers," plausibility of results, etc., but it's also just an interesting phenomenon in itself. Some of you may have known about Benford's law already, but it was news to me. I stumbled into it while perusing online resources about FFT and DSP (see chapter 34 in Smith, available at http://www.dspguide.com/ch34/1.htm, see References below).
Hill (1995) provides a concise description of Benford's law
. . .
On November 11, 2011, we will hold a one-day course on NEURON as a satellite session of the annual meeting of the Society for Neuroscience in Washington, DC. In this course we will present practical tips to help beginners get started, an executive-level summary to help PIs understand how NEURON might be helpful in their research, and review some of the latest advances to help bring established NEURON users up to date. For more information and an on-line registration form, click on "Courses" in the menu at the top of this page.
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