Using NEURON to Model Cells and Networks
Satellite Symposium, Society for Neuroscience Meeting
9 AM - 5 PM on Friday, November 8, 2013
Speakers include M.L. Hines, N.T. Carnevale,
W.W. Lytton, and G.M. Shepherd
The emphasis of this course is on 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, will present the
principles and techniques that are involved in creating and using
models of cells and networks with NEURON.
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 30 individuals on a first-come,
first-serve basis. The registration deadline is Friday,
October 25, 2013. NO on-site registration will be accepted.
For more information and the online registration form, see
http://www.neuron.yale.edu/neuron/static/courses/sd2013/sd2013.html
--Ted
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