2019 NEURON Summer Course

Course Information


10 June 2019 to 15 June 2019


University of Minnesota, Minneapolis


Ted Carnevale, Michael Hines, Bill Lytton, and Robert McDougal




Supported in part by: National Institutes of Health National Science Foundation

Application deadline

Friday, May 31, 2019


This intensive multi-day course is suitable for users at all levels of expertise. It is designed for those who are planning to use NEURON in neuroscience research or teaching, or already have active modeling projects that involve NEURON. It presents what you need to know to build and work with models of individual neurons and networks of neurons, and includes an introduction to simulation on parallel hardware.

  • Beginners with little or no modeling experience will learn not only the technical aspects of modeling but also its philosophical basis and scientific rationale.
  • Intermediate users will learn how best to approach common tasks, and under what circumstances special features of NEURON might be particularly helpful.
  • Experienced users will benefit from an update on new features and a review of important topics that may have escaped their attention when they first learned how to use NEURON.

In particular, the course includes a description of:

  • 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.
  • Prototyping network models with the Network Builder.
  • Using the ModelView 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.

Each day of this 6 day course will run from 9 AM to 5 PM, with lectures, demonstrations, and hands-on exercises. Additional optional sessions will be offered on some evenings to cover advanced topics. Time will be available for discussing specific projects of participants own choosing.

Space is limited, and applications will be considered in the order received. The application deadline is Friday, May 31, 2019. All registration fees will be due by that data. No applications will be accepted after that date, and there will be no on-site registration.

How to register

Please note that space is limited, and applications will be considered in the order received. The application deadline is Friday, May 31, 2019. No applications will be accepted after that date, and there will be no on-site registration.


1. First, please read the Declaration of Administrative Efficiency.

2. Submit a completed application form (click here). Be sure to indicate any special dietary, mobility, or accessibility requirements. (Meals will not be provided, however we request dietary information just in case.)

3. Pay the $625 registration fee, which is used for printed materials and instructor travel. Payment must be completed by Friday, May 31, 2019.


If you wish to pay by credit card, please contact Ted Carnevale [ ted dot carnevale at yale dot edu ] for further instructions.


Payment by check or money order should be made out to NEURON 2019 Summer Course and sent to
NEURON 2019 Summer Course
c/o Ted Carnevale
Neuroscience Dept.
Yale University School of Medicine
PO Box 208001
New Haven, CT 06520-8001
For those who need a street address:
NEURON 2019 Summer Course
c/o Ted Carnevale
Neuroscience Dept.
Yale University School of Medicine
SHM C303
333 Cedar St.
New Haven, CT 06510
Be sure to use the PO Box address if you are sending your check by the US Postal Service; otherwise it will be delayed by 2 to 3 weeks! The street address is only for courier services such as FedEx and UPS.


If you need Yale's Federal ID Number for tax purposes, please send an email request to [ ted dot carnevale at yale dot edu ].


Remember, registration is not complete until payment has been received (and cleared, in case you paid by check or money order).

Declaration of Administrative Efficiency

From their inception, the NEURON courses have held to a policy of administrative efficiency in order to save everyone's time, effort, and money. In particular, we are already fully occupied with teaching, research, and administrative tasks, and have no secretarial staff to deal with paperwork or other special requests imposed by applicants' institutions. Requests to divert time and effort to activities that are not directly related to the scientific and didactic content of these courses cannot be honored. Applicants whose institutions require information about the course, or confirmation of their registration status, are encouraged to submit printouts of these pages and related email that they receive from us. We also provide a receipt form in one of the handout booklets that is distributed at the start of the course.