Using NEURON to Model Cells and Networks Satellite Symposium, Society for Neuroscience Meeting 9 AM - 5 PM on Friday, November 14, 2014 Speakers include Ted Carnevale, Bill Lytton, and Gordon Shepherd This course emphasizes practical issues that are key to the most productive use of NEURON, an advanced simulation environment for realistic modeling of biological neurons and neural circuits. Through lectures and live computer demonstrations, we will address topics that include the following: Partial list of topics that will be covered: * Efficient design and implementation of models of neurons and networks. * Constructing and managing models with NEURON's GUI, hoc, and Python. * Using the built-in variable-order variable-timestep integrator for improved speed and accuracy. * Parallelizing models of cells and networks to take advantage of multicore PCs and Macs, workstation clusters, and parallel supercomputers. * Expanding NEURON's repertoire of biophysical mechanisms, including an introduction to using the new RxD feature to implement models that involve reactive diffusion. * Databases for empirically-based modeling. Each registrant will receive a comprehensive set of notes. Registration is limited to 25 individuals on a first-come, first-serve basis. The registration deadline is Friday, October 31, 2014. NO on-site registration will be accepted. For more information and the online registration form, see http://www.neuron.yale.edu/neuron/static/courses/dc2014/dc2014.html --Ted