The NEURON Summer Course provides a comprehensive introduction to the design and construction of models of individual neurons and networks of neurons. It includes:
- Model specification with hoc, Python, and NEURON's GUI.
- Importing Neurolucida and other morphometric data formats with the Import3D tool.
- Adding new biophysical mechanisms with NMODL and the Channel Builder.
- Multiscale modeling using RxD for reaction-diffusion.
- Using the Model View tool to analyze and understand models created by yourself and others.
- Integration methods.
- accuracy, stability, and computational efficiency
- fixed timestep vs. global and local adaptive integration--which method to use, and how to use it
- Introduction to using parallel hardware to speed up simulations of cells and networks.
- Customizing the GUI for simulation control and analysis of results.
- Managing modeling projects.
The course faculty includes Ted Carnevale, Robert McDougal, and guest speakers TBA. 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.
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, Linux, or macOS.
Location and dates
The 2023 NEURON Summer Course will be held at Wright State University (Dayton campus) from Sunday, June 11, through Friday, June 16, 2023.
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, June 2, 2023. No applications will be accepted after that date, and there will be no on-site registration.
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 campus, such as hotels, Airbnb etc..
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.
At CNS 2023, we will have a half day NEURON tutorial paired with a half day NetPyNE tutorial. The focus there will be on concepts and simple hands-on projects, but due to time constraints, those tutorials will necessarily be much more narrow in scope than at the summer course.
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.