[Comp-neuro] NEURON Course at 2012 SFN Meeting

Using NEURON to Model Cells and Networks
Satellite Symposium, Society for Neuroscience Meeting
9 AM - 5 PM on Friday, Oct. 12, 2012
Speakers include M.L. Hines, N.T. Carnevale, 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, we will present the
principles and techniques that are involved in creating and using models
of cells and networks with NEURON. We will also show how to speed up
simulations by taking advantage of parallel hardware ranging from
multiprocessor personal computers and workstation clusters to massively
parallel supercomputers.

Partial list of topics to 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.
* 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. Registration deadline is Friday, September 28, 2012.
No on-site registration will be accepted.

For more information see
http://www.neuron.yale.edu/neuron/static/courses/nola2012/nola2012.html

--Ted

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