An intensive hands-on course

2013 Session Starts at 9 AM Saturday, June 22
Ends at Noon Tuesday, June 25
Location Institute for Neural Computation
University of California, San Diego
Organizers N.T. Carnevale and M.L. Hines
Faculty includes N.T. Carnevale, M.L. Hines, W.W. Lytton, and T.J. Sejnowski
Registration deadline Friday, May 24

In three and a half days of intensive lectures, demonstrations, and hands-on exercises, this course will cover the principles and practice of the design, construction, and use of models in the NEURON simulation environment. It is designed primarily for those who are concerned with models of biological neurons and neural networks that are closely linked to empirical observations, e.g. experimentalists who wish to incorporate modeling in their research plans, and theoreticians who are interested in the principles of biological computation.

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.

Registration is limited to 20 individuals on a first-come, first-serve basis.
The deadline for registration is Friday, May 24.

Each registrant is expected to bring his or her own 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 OS X on a Mac.

Tell me more about the course!

Tell me how to register!

Tell me more about NEURON!

Other questions? Contact Ted Carnevale by email (ted dot carnevale at yale dot edu) or phone (203-494-7381).

Supported in part by:
National Institutes of Health
National Science Foundation
Institute for Neural Computation

NEURON 2013 Summer Course