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Course description

Topics | Faculty | Equipment | Location | Application | Travel and accommodations | Other


The NEURON Summer Course provides a comprehensive introduction to the design and construction of models of individual neurons and networks of neurons. It includes:

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The course faculty includes Ted Carnevale, Robert McDougal, Michael Hines, and Bill Lytton. All are leaders in the development and application of simulation tools for biologically realistic modeling, and have participated in courses and workshops on NEURON at annual meetings of the Society for Neuroscience and other venues. The NEURON Summer Course draws on their experience and is revised each year to address the evolving needs of users and new features of NEURON.

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Each participant is expected to bring a wifi-capable laptop computer. This will allow everyone to work in a familiar hardware/software environment, be it MSWin or Linux on a PC, or macOS.

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Location and dates

The NEURON Summer Course will be held at University of Minnesota (Minneapolis campus!) from Monday, June 10, through Saturday, June 15, 2019.

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Application and registration

Space is limited, and applications will be considered in the order received. The deadline for application and payment of the registration fee is Friday, May 31, 2019. No applications will be accepted after that date, and there will be no on-site registration.

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Travel and accommodations

Participants must make their own arrangements for transportation, accommodations, and meals. Dining facilities are available on campus and at nearby restaurants. There are many options for lodging near the Minneapolis campus, such as hotels and Airbnb and other bed and breakfast inns. UMN also has graduate student housing on the Minneapolis campus that may become available to course participants at very favorable rates; registrants will be informed about how to take advantage of this after administrative details have been resolved.

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How does this course differ from others that we offer?

The NEURON Summer Course is a multi-day, intensive experience that addresses a wide range of topics. It is the best choice for those who have already decided to use NEURON in their research. It combines interactive didactic presentations, supervised hands-on exercises that challenge participants to use what they are learning, and time for work on exercises and individual projects.

We also offer a one day course at Society for Neuroscience meetings which presents an "executive summary" of key features of NEURON, plus many practical tips for developing and using models. That course is particularly useful for PIs who are thinking about including computational modeling in their research and wondering what software to use. It is also a good choice for those who are eager to get started quickly and prefer not to wait for the summer course. However, the SFN course relies completely on didactic presentations and demonstrations, since time and cost constraints preclude hands-on activities.

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NEURON 2019 Summer Course