Blogs

Record number of publications that used NEURON

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.

Two--count 'em, two!--NEURON Summer Courses!

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!

NEURON at the 2011 Society for Neuroscience meeting

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:

http://www.neuron.yale.edu/neuron/static/sfn2011/ni.html

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
ted.carnevale@yale.edu

Benford's law, first digit law, leading digit phenomenon

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

. . .

NEURON course at the 2011 Society for Neuroscience meeting

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.

NEURON 2011 Summer Course open for registration

At long last the NEURON 2011 Summer Course is open for registration. This 5-day intensive hands on course covers a wide range of topics and saves users many weeks, if not months, of time with their projects. For a link to detailed information about this course and an on-line registration form, click on "Courses" in the menu at the top of this page.

ModelDB and NSCI 550

We're teaching a course in neuroinformatics at Yale, and one of the assignments is for students to find a published model in ModelDB, read the associated paper, download and use the source code, and then give a brief presentation.

NEURON-related research at the SFN 2010 meeting

We've been trying to build a list of presentations at this year's SFN meeting that report work done with NEURON, and so far we have found 42 talks and poster sessions--see http://www.neuron.yale.edu/ftp/ted/neuron/neuron_at_sfn2010.html.

Typos: one of many reasons why model sharing is essential

A few days ago we received an email from a NEURON user who was working through the examples in
Hines, M.L. and Carnevale, N.T.
NEURON: a tool for neuroscientists.
The Neuroscientist 7:123-135, 2001.

NEURON + Python hands-on tutorial

On Saturday morning, Nov. 13, 2010--just before the Society for Neuroscience meeting--there will be a four hour course on NEURON + Python. Continental breakfast will be provided. Registration is free, but space is limited, so if you are interested you should sign up quickly. For further information see the full announcement on The NEURON Forum
https://www.neuron.yale.edu/phpBB/viewtopic.php?f=22&t=1993
or contact thomas_dot_mctavish_at_yale_dot_edu
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